GenomicRanges/DESCRIPTION0000644000126300012640000000445512233632026016373 0ustar00biocbuildphs_compbioPackage: GenomicRanges Title: Representation and manipulation of genomic intervals Description: The ability to efficiently store genomic annotations and alignments is playing a central role when it comes to analyze high-throughput sequencing data (a.k.a. NGS data). The package defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome. Version: 1.14.3 Author: P. Aboyoun, H. Pages and M. Lawrence Maintainer: Bioconductor Package Maintainer biocViews: Genetics, Sequencing, HighThroughputSequencing, Annotation Depends: R (>= 2.10), methods, BiocGenerics (>= 0.7.7), IRanges (>= 1.20.3), XVector (>= 0.1.3) Imports: methods, utils, stats, BiocGenerics, IRanges LinkingTo: IRanges, XVector Suggests: AnnotationDbi (>= 1.21.1), AnnotationHub, BSgenome, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Scerevisiae.UCSC.sacCer2, BSgenome.Dmelanogaster.UCSC.dm3, Biostrings (>= 2.25.3), Rsamtools (>= 1.13.53), rtracklayer, KEGG.db, KEGGgraph, GenomicFeatures, TxDb.Dmelanogaster.UCSC.dm3.ensGene, TxDb.Hsapiens.UCSC.hg19.knownGene, seqnames.db, org.Sc.sgd.db, VariantAnnotation, edgeR, DESeq, DEXSeq, pasilla, pasillaBamSubset, RUnit, digest, BiocStyle License: Artistic-2.0 Collate: utils.R phicoef.R cigar-utils.R transcript-utils.R constraint.R makeSeqnameIds.R seqinfo.R strand-utils.R Seqinfo-class.R GenomicRanges-class.R GRanges-class.R GIntervalTree-class.R GenomicRanges-comparison.R GenomicRangesList-class.R GRangesList-class.R makeGRangesFromDataFrame.R tileGenome.R GAlignments-class.R GAlignmentPairs-class.R GAlignmentsList-class.R SummarizedExperiment-class.R SummarizedExperiment-rowData-methods.R seqlevels-utils.R resolveHits-methods.R summarizeOverlaps.R RangesMapping-methods.R RangedData-methods.R intra-range-methods.R inter-range-methods.R setops-methods.R findOverlaps-methods.R findOverlaps-GIntervalTree-methods.R nearest-methods.R encodeOverlaps-methods.R coverage-methods.R findSpliceOverlaps-methods.R findSpliceOverlaps-utils.R test_GenomicRanges_package.R zzz.R Packaged: 2013-10-29 04:05:42 UTC; biocbuild GenomicRanges/NAMESPACE0000644000126300012640000001266612227070337016113 0ustar00biocbuildphs_compbiouseDynLib(GenomicRanges) import(methods) import(utils) # for as.roman() importFrom(stats, setNames) import(BiocGenerics) import(IRanges) exportClasses( Constraint, ConstraintORNULL, Seqinfo, GenomicRanges, GenomicRangesORmissing, GRanges, GRangesList, GIntervalTree, GenomicRangesORGRangesList, GAlignments, GAlignmentPairs, GAlignmentsList, GappedAlignments, GappedAlignmentPairs, # old names SummarizedExperiment, Assays, GenomicRangesList, SimpleGenomicRangesList ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Export S3 methods ### S3method(duplicated, GenomicRanges) ### We also export them thru the export() directive so that (a) they can be ### called directly, (b) tab-completion on the name of the generic shows them, ### and (c) methods() doesn't asterisk them. export( duplicated.GenomicRanges ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Export S4 methods for generics not defined in GenomicRanges ### exportMethods( length, names, "names<-", "dimnames<-", "[", "[<-", "[[", "[[<-", "$", "$<-", as.data.frame, coerce, c, cbind, rbind, show, "==", "<=", duplicated, match, "%in%", order, sort, rank, union, intersect, setdiff, start, end, split, unlist, range, Ops, merge, updateObject, strand, "strand<-", ## Generics defined in IRanges: elementMetadata, "elementMetadata<-", mcols, "mcols<-", values, "values<-", splitAsListReturnedClass, width, "start<-", "width<-", "end<-", compare, ranges, "ranges<-", map, ngap, score, shift, narrow, flank, resize, promoters, restrict, reduce, gaps, disjoin, isDisjoint, disjointBins, punion, pintersect, psetdiff, pgap, findOverlaps, countOverlaps, overlapsAny, subsetByOverlaps, precede, follow, nearest, distance, distanceToNearest, encodeOverlaps, coverage ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Export non-generic functions ### export( phicoef, validCigar, CIGAR_OPS, explodeCigarOps, explodeCigarOpLengths, cigarToRleList, splitCigar, cigarRangesAlongReferenceSpace, cigarRangesAlongQuerySpace, cigarRangesAlongPairwiseSpace, extractAlignmentRangesOnReference, cigarToIRanges, cigarToIRangesListByAlignment, cigarToIRangesListByRName, cigarWidthAlongReferenceSpace, cigarWidthAlongQuerySpace, cigarWidthAlongPairwiseSpace, cigarToWidth, cigarToQWidth, cigarNarrow, cigarQNarrow, cigarOpTable, cigarToCigarTable, summarizeCigarTable, queryLoc2refLoc, queryLocs2refLocs, makeSeqnameIds, Seqinfo, GRanges, GRangesList, GenomicRangesList, GIntervalTree, .DollarNames.GenomicRanges, makeGRangesFromDataFrame, makeGRangesListFromFeatureFragments, tileGenome, makeGAlignmentsListFromFeatureFragments, GAlignments, readGAlignments, GAlignmentPairs, readGAlignmentPairs, GappedAlignments, readGappedAlignments, # old names GappedAlignmentPairs, readGappedAlignmentPairs, # old names GAlignmentsList, readGAlignmentsList, flipQuery, selectEncodingWithCompatibleStrand, extractQueryStartInTranscript, countCompatibleOverlaps, Union, IntersectionNotEmpty, IntersectionStrict, keepSeqlevels, dropSeqlevels, renameSeqlevels, restoreSeqlevels ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Export S4 generics defined in GenomicRanges + export corresponding ### methods ### export( ## constraint.R: #constraint, "constraint<-", checkConstraint, ## seqinfo.R: seqinfo, "seqinfo<-", seqnames, "seqnames<-", seqlevels, "seqlevels<-", sortSeqlevels, seqlevelsInUse, seqlevels0, seqlengths, "seqlengths<-", isCircular, "isCircular<-", genome, "genome<-", seqnameStyle, "seqnameStyle<-", ## GAlignments-class.R: rname, "rname<-", cigar, qwidth, qnarrow, grglist, granges, introns, rglist, ## GAlignmentPairs-class.R: first, last, left, right, isProperPair, ## SummarizedExperiment-class.R: SummarizedExperiment, exptData, "exptData<-", rowData, "rowData<-", colData, "colData<-", assays, "assays<-", assay, "assay<-", ## summarizeOverlaps.R: summarizeOverlaps, ## encodeOverlaps-methods.R: isCompatibleWithSplicing, isCompatibleWithSkippedExons, extractSteppedExonRanks, extractSpannedExonRanks, extractSkippedExonRanks, findCompatibleOverlaps, ## findSpliceOverlaps-methods.R: findSpliceOverlaps ) ### Exactly the same list as above. exportMethods( #constraint, "constraint<-", checkConstraint, seqinfo, "seqinfo<-", seqnames, "seqnames<-", seqlevels, "seqlevels<-", sortSeqlevels, seqlevelsInUse, seqlengths, "seqlengths<-", isCircular, "isCircular<-", genome, "genome<-", seqnameStyle, "seqnameStyle<-", rname, "rname<-", cigar, qwidth, qnarrow, grglist, granges, introns, rglist, first, last, left, right, isProperPair, SummarizedExperiment, exptData, "exptData<-", rowData, "rowData<-", colData, "colData<-", assays, "assays<-", assay, "assay<-", summarizeOverlaps, isCompatibleWithSplicing, isCompatibleWithSkippedExons, extractSteppedExonRanks, extractSpannedExonRanks, extractSkippedExonRanks, findCompatibleOverlaps, findSpliceOverlaps ) GenomicRanges/NEWS0000644000126300012640000004455312227076152015374 0ustar00biocbuildphs_compbioCHANGES IN VERSION 1.14.0 ------------------------- NEW FEATURES o Add coercion from GenomicRangesList to RangedDataList. o Add "c" method for GAlignmentsPairs objects. o Add coercion from GAlignmentPairs to GAlignmentsList. o Add 'inter.feature' and 'fragment' arguments to summarizeOverlaps(). o Add seqselect,GAlignments-method. o Add CIGAR utilities: explodeCigarOps(), explodeCigarOpLengths() cigarRangesAlongReferenceSpace(), cigarRangesAlongQuerySpace() cigarRangesAlongPairwiseSpace(), extractAlignmentRangesOnReference() cigarWidthAlongReferenceSpace(), cigarWidthAlongQuerySpace() cigarWidthAlongPairwiseSpace(). o Add seqlevels0() and restoreSeqlevels(). o Add seqlevelsInUse() getter for GRanges, GRangesList, GAlignments GAlignmentPairs, GAlignmentsList and SummarizedExperiment objects. o Add update,GAlignments method. o Add GIntervalTree class. o Add coercion from GAlignmentPairs to GAlignments. o Add sortSeqlevels(). o Add tileGenome(). o Add makeGRangesFromDataFrame() and coercion from data.frame or DataFrame to GRanges. SIGNIFICANT USER-LEVEL CHANGES o Renaming (with aliases from old to new names): - classes GappedAlignments -> GAlignments GappedAlignmentPairs -> GAlignmentPairs - functions GappedAlignments() -> GAlignments() GappedAlignmentPairs() -> GAlignmentPairs() readGappedAlignments() -> readGAlignments() readGappedAlignmentPairs() -> readGAlignmentPairs() o Remove 'asProperPairs' argument to readGAlignmentsList(). o Modify "show" method for Seqinfo object to honor showHeadLines and showTailLines global options. o 50x speedup or more when merging 2 Seqinfo objects, 1 very small and 1 very big. o Add dependency on new XVector package. o Enhanced examples for renaming seqlevels in seqlevels-utils.Rd. o More efficient reference class constructor for 'assays' slot of SummarizedExperiment objects. o 'colData' slot of SummarizedExperiment produced from call to summarizedOverlaps() now holds the class type and length of 'reads'. o 4x speedup to cigarToRleList(). o Relax SummarizedExperiment class validity. o Renaming (with aliases from old to new names): cigarToWidth() -> cigarWidthOnReferenceSpace(), and cigarToQWidth() -> cigarWidthOnQuerySpace(). o Improvements to summarizeOverlaps(): - mode 'Union': 1.5x to 2x speedup - mode 'IntersectionNotEmpty': 2x to 8x speedup + memory footprint reduced by ~ half o Change default 'use.names' to FALSE for readGAlignmentsList(). o Implement 'type="equal"' for findOverlaps,SummarizedExperiment methods. o Modify summarizeOverlaps() examples to use 'asMates=TRUE' instead of 'obeyQname=TRUE'. o Remove unneeded "window" method for GenomicRanges objects. o Speed up seqinfo() getter and setter on SummarizedExperiment objects and derivatives (e.g. VCF) by using direct access to 'rowData' slot. o coverage,GenomicRanges method now uses .Ranges.coverage() when using the defaults for 'shift' and 'width'. o Remove restriction that metadata column names must be different on a GRangesList and the unlisted GRanges. o GenomicRangesUseCases vignette has been redone and renamed to GenomicRangesHOWTOs DEPRECATED AND DEFUNCT o Defunct all "match" and "%in%" methods in the package except for those with the GenomicRanges,GenomicRanges signature. o Deprecate GappedAlignment*: - GappedAlignments and GappedAlignmentPairs classes - GappedAlignments() and GappedAlignmentPairs() constructors - readGappedAlignments() and readGappedAlignmentPairs() functions o Deprecate cigar util functions: cigarToWidth(), cigarToQWidth(), cigarToIRanges() splitCigar(), cigarToIRanges(), cigarToIRangesListByAlignment() cigarToIRangesListByRName(), cigarToWidth(), cigarToQWidth() cigarToCigarTable(), summarizeCigarTable() o Deprecate seqselect(). BUG FIXES o Fix bug in c,GAlignments for case when objects were unnamed. o Fix bug in flank,GenomicRanges (when 'ignore.strand=TRUE' 'start' was being set to TRUE). o Fix bug in behavior of summarizeOverlaps() count mode 'IntersectionNotEmpty' when 'inter.features=FALSE'. Shared regions are now removed before counting. o Fix bug in cigarToIRangesListByAlignment() when 'flag' is supplied and indicates some reads are unmapped. o Fix bug in summarizeOverlaps(..., mode='IntersectionNotEmpty') when 'features' has '-' and '+' elements and 'ignore.strand=TRUE'. o match,GenomicRanges,GenomicRanges method now handles properly objects with seqlevels not in the same order. CHANGES IN VERSION 1.12.0 ------------------------- NEW FEATURES o Implement "seqnameStyle" replacement method for Seqinfo object. 'seqnameStyle(x) <- style' works on any object with a "seqinfo" replacement method. o Add trim,GenomicRanges-method to trim out of bound ranges. o Add promoters,GenomicRanges and promoters,GRangesList methods. o Add "overlapsAny" methods as a replacement for the deprecated "%in%" methods. o Add 'ignore.strand' argument to match,GenomicRanges-method. o Add 'with.mapping' argument to "reduce" method for GenomicRanges objects. o Add "unname" method to remove dimnames from SummarizedExperiment. o Add "cbind" and "rbind" methods for SummarizedExperiment. o Add "seqselect", "seqselect<-" and "split" methods for SummarizedExperiment. o Add GAlignmentsList class. o Add readGAlignmentsList generic and methods. SIGNIFICANT USER-LEVEL CHANGES o resize,GenomicRanges method no longer checks that 'fix' is length-compatible with 'x' when 'x' is length zero. This allows for resize(x, w, fix = "end") without worrying about 'x' being zero-length. o Change the behavior of "distance". Previously adjacent ranges had a distance of 1 and overlapping had a distance of 0. Now both adjacent AND overlapping have a distance of 0. o shift,GenomicRanges-method no longer trims out of bound ranges. o "distanceToNearest" no longer drops ranges that have no hit but returns 'NA' for 'subjectHits' and 'distance'. o "genome" is no longer an invalid metadata colname for GenomicRanges objects. o 4x-8x speedup for doing coverage() on a GRanges or GRangesList with many seqlevels. o Remove ">=", "<", and ">" methods for GenomicRanges objects. o Speedup "seqinfo" setters for GenomicRanges and GappedAlignments by avoiding validation when not necessary. o readGappedAlignments can now pass a BamFile to readBamGappedAlignments. o Remove unneeded "unique" and "sort" methods for GenomicRanges objects. o Change behavior of "match" and "%in%" on GenomicRanges objects to use equality instead of overlap for comparing elements between GenomicRanges objects 'x' and 'table'. o match,GenomicRanges-method gets the same 'method' argumnet as the "duplicated" method for these objects. o Remove unneeded "countOverlaps" methods. o "classNameForDisplay" shortens the name of data type when displayed. o Add global options 'showHeadLines' and 'showTailLines' to control the number of head/tails lines displayed in show,GRanges and show,GappedAlignments methods. o "distanceToNearest" now returns a Hits object instead of DataFrame. DEPRECATED AND DEFUNCT o Remove defunct countGenomicOverlaps(), grg(), and globalToQuery() o Defunct previously deprecated '.ignoreElementMetadata' argmuent of c,GenomicRanges-method. o Deprecate all "match" and "%in%" methods in the package except for those with the GenomicRanges,GenomicRanges signature. o Deprecate "resolveHits" methods. BUG FIXES o Several bug fixes to "nearest". o Output of "findSpliceOverlaps" now displays 'NA' for ranges with no hits. CHANGES IN VERSION 1.10.0 ------------------------- NEW FEATURES o SummarizedExperiment gains direct GRanges / GRangesList interface to rowData. o Add "distanceToNearest" method for GenomicRanges objects. o SummarizedExperiment class can now be subset by row when there are no 'columns', and by column when there are no 'rows'. o Add 'drop.D.ranges' argument to coverage,GappedAlignments and coverage,GappedAlignmentPairs methods. o findOverlaps() now supports 'select="last"' and 'select="arbitrary"' (in addition to 'select="all"' and 'select="first"') on GenomicRanges objects. o summarizeOverlaps(..., mode="IntersectionStrict") now handles circular chromosomes. A warning is issued and circular chromosomes in 'reads' are omitted from counting. o Add disjoin,GRangesList method. o Add findSpliceOverlaps() for identifyng ranges (reads) that are compatible with a specific transcript isoform (the non-compatible ranges are analyzed for the presence of novel splice events). o Add ngap,GappedAlignmentPairs method. o Add introns() generic with methods for GappedAlignments and GappedAlignmentPairs objects. o No more arbitrary max of 3 gaps per read in isCompatibleWithSplicing() and isCompatibleWithSkippedExons(). o Add findCompatibleOverlaps() and countCompatibleOverlaps(). o Passing '...' down through as.data.frame(GRanges, ...) so user can tweak stringsAsFactors default for metadata columns. o Add extractSteppedExonRanks(), extractSpannedExonRanks() and extractQueryStartInTranscript() utilities (work with single- and paired-end reads). o Add 'flip.query.if.wrong.strand' arg (FALSE by default) to "encodeOverlaps" method for GRangesList objects. o Add makeSeqnameIds() low-level utility. SIGNIFICANT USER-LEVEL CHANGES o SummarizedExperiment rowData and assays operations have significant performance improvements. o mcols() is now the preferred way (over elementMetadata() or values()) to access the metadata columns of a GenomicRanges, GRangesList, GappedAlignments, GappedAlignmentPairs, SummarizedExperiment object, or any Vector object. elementMetadata() and values() might go away at some point in the (not so close) future. o Add "$" and "$<-" methods for GenomicRanges *only*. Provided as a convenience and as the result of strong popular demand. Note that those methods are not consistent with the other "$" and "$<-" methods in the IRanges/GenomicRanges infrastructure, and might confuse some users by making them believe that a GenomicRanges object can be manipulated as a data.frame-like object. It is therefore recommended to use them only interactively, and their use in scripts or packages is discouraged. For the latter, use 'mcols(x)$name' instead of 'x$name'. o No more warning when doing as(x, "GRanges") on a RangedData object with no "strand" column. o Refactor "[" method for GenomicRanges objects. The new implementation always preserves the names of the selected elements instead of trying to return a GenomicRanges object with unique names. This new behavior is consistent with subsetting of ordinary vectors and other Vector objects defined in IRanges/GenomicRanges. Also modify "seqselect" method for GenomicRanges objects so it also preserves the names of the selected elements (and thus remains consistent with new behavior of "[" method for GenomicRanges objects). o No more names on the integer vector returned by "ngap" method for GappedAlignments objects. o Many improvements to the "Overlap encodings" vignette. o Remove 'param' argument from summarizeOverlaps() generic. DEPRECATED AND DEFUNCT o Defunct previously deprecated grg() function. o Defunct previously deprecated countGenomicOverlaps() generic and methods. BUG FIXES o Fix several issues with "precede", "follow", "nearest", and "distance" methods for GenomicRanges objects. o Fix bug in summarizeOverlaps(..., ignore.strand=TRUE). o 6x speedup (and a 6x memory footprint reduction) or more when using encodeOverlaps() on big GRangesList objects. o Fix bug in renameSeqlevels() wrt order of rename vector. o Fix bug in selectEncodingWithCompatibleStrand(). CHANGES IN VERSION 1.8.0 ------------------------ NEW FEATURES o Add GappedAlignmentPairs class (with accessors first(), last(), left(), right(), seqnames(), strand(), isProperPair()), and readGappedAlignmentPairs() for dealing with paired-end reads. Most of the GappedAlignments functionalities (e.g. coercion to GRangesList, "findOverlaps" and related methods, "coverage", etc...) work on a GappedAlignmentPairs object. o Add encodeOverlaps,GRangesList,GRangesList,missing and related utilities flipQuery(), selectEncodingWithCompatibleStrand(), isCompatibleWithSplicing(), isCompatibleWithSkippedExons() and extractSkippedExonRanks(). o Add 'order.as.in.query' arg to grglist() and rglist(). o SummarizedExperiment gains direct access to colData columns with $, $<-, [[, and [[<- methods o Add map,GenomicRanges,GRangesList and map,GenomicRanges,GappedAlignments methods. These allow mapping from genome space to transcript space, and genome space to read space, respectively. o Add seqinfo methods (and friends) for RangedData, RangesList, and other IRanges data structures. These use metadata(x)$seqinfo. o Add disjointBins,GenomicRanges. o Add score,GRangesList and score,GenomicRanges (gets the score column like for RangedData). o Add RangedDataList -> GenomicRangesList coercion. o Add RleViewsList -> GRanges coercion. o Add pintersect,GRangesList,GRangesList o Add stack,GenomicRangesList o ignore.strand argument now more uniformly supported on set operations. o Add Ops,GenomicRanges (from rtracklayer). o Add strand,Rle (only logical-Rle is supported). o Add compare,GenomicRanges o Add 'drop.empty.ranges' arg (FALSE by default) to low-level cigar utilities cigarToIRanges(), cigarToIRangesListByAlignment(), and cigarToIRangesListByRName(). o Add 'reduce.ranges' arg to cigarToIRangesListByAlignment(). SIGNIFICANT USER-LEVEL CHANGES o grglist,GappedAlignments now carries over metadata columns. o Names are no longer forced to be unique when unlisting a GRangesList with use.names=TRUE. o seqnames() is now preferred over rname() on a GappedAlignments object. o cigarToIRangesListByAlignment() now returns a CompressedIRangesList instead of CompressedNormalIRangesList. o Low-level CIGAR utilities now ignore CIGAR operation P (instead of trowing an error). o The 'weight' arg in "coverage" method for GenomicRanges objects now can also be a single string naming a column in elementMetadata(x). o Ranges outside the sequences bounds of the underlying sequences are now accepted (with a warning) in GenomicRanges/GRangesList/GappedAlignments objects. o When called with 'ignore.strand=TRUE', the "range" and "disjoin" methods for GenomicRanges objects now behave like if they set the strand of the input to "*" before they do any computation. o When called with 'ignore.strand=TRUE', "reduce" method for GenomicRanges objects, and "union", "intersect" and "setdiff" methods for GRanges objects now set the strand of their arguments to "*" prior to any computation. o No more mangling of the names when combining GRanges objects ("c" method for GRanges objects was trying to return unique names). o Remove isCircularWithKnownLength() generic and methods (nobody knows, uses, or needs this). BUG FIXES o flank,GRangesList no longer forces 'use.names' to TRUE and 'both' to FALSE. o range,GenomicRanges was broken when object had no ranges o Fix integer overflow issue that can occur in cigarQNarrow() or cigarQNarrow() when the cigar vector is very long. CHANGES IN VERSION 1.6.0 ------------------------ NEW FEATURES o seqlevels() and seqinfo() setters have a new arg ('force', default is FALSE) to force dropping sequence levels currently in use. o Seqinfo objects now have a genome column that can be accessed with genome() getter/setter. o "pgap" method for c(x="GRanges", y="GRanges"). o Add comparison (==, <=, duplicated, unique, etc...) and ordering (order, sort, rank) methods for GenomicRanges objects. o Add "flank" method for GRangesList objects. o Add "isDisjoint" and "restrict" methods for GRanges and GRangesList objects. o Add GRangesList constructor makeGRangesListFromFeatureFragments(). o Add "names" and "names<-" methods for GappedAlignments objects. o Add 'ignore.strand' arg to a number of methods: - findOverlaps,GRangesList,RangesList - findOverlaps,GappedAlignments,ANY - findOverlaps,ANY,GappedAlignments o 'shift' and 'weight' arguments of "coverage" method for GenomicRanges objects now can be numeric vectors in addition to lists. o Add "c" method for GappedAlignments objects. SIGNIFICANT USER-VISIBLE CHANGES o readGappedAlignments() supports 2 new arguments: (1) 'use.names' (default is FALSE) for using the query template names (QNAME field in a SAM/BAM file) to set the names of the returned object, and (2) 'param' (default is NULL, otherwise a ScanBamParam object) for controlling what fields and which records are imported. readGappedAlignments() doesn't support the 'which' arg anymore. o The names of a GRanges/GRangesList/GappedAlignments object are not required to be unique anymore. o By default, the rownames are not set anymore on the DataFrame returned by elementMetadata() on a GRanges/GRangesList/GappedAlignments object. o 'width' arg of "coverage" method for GenomicRanges objects now must be NULL or numeric vector (instead of NULL or list). DEPRECATED AND DEFUNCT o Deprecate countGenomicOverlaps() in favor of summarizeOverlaps(). o Deprecate grg() in favor of granges(). BUG FIXES o Fix bug in "pintersect" methods operating on GappedAlignments objects. GenomicRanges/R/0000755000126300012640000000000012233570550015061 5ustar00biocbuildphs_compbioGenomicRanges/R/GAlignmentPairs-class.R0000644000126300012640000005650512227070333021343 0ustar00biocbuildphs_compbio### ========================================================================= ### GAlignmentPairs objects ### ------------------------------------------------------------------------- ### ### TODO: Implement a GAlignmentsList class (CompressedList subclass) ### and derive GAlignmentPairs from it. ### "first" and "last" GAlignments must have identical seqinfo. setClass("GAlignmentPairs", contains="List", representation( NAMES="characterORNULL", # R doesn't like @names !! first="GAlignments", # of length N, no names, no elt metadata last="GAlignments", # of length N, no names, no elt metadata isProperPair="logical", # of length N elementMetadata="DataFrame" # N rows ), prototype( elementType="GAlignments" ) ) ### Formal API: ### length(x) - single integer N. Nb of pairs in 'x'. ### names(x) - NULL or character vector. ### first(x) - returns "first" slot. ### last(x) - returns "last" slot. ### left(x) - GAlignments made of the "left alignments" (if first ### alignment is on + strand then it's considered to be the ### "left alignment", otherwise, it's considered the "right ### alignment"). ### right(x) - GAlignments made of the "right alignments". ### The strand of the last alignments is inverted before they ### are stored in the GAlignments returned by left(x) or ### right(x). ### seqnames(x) - same as 'seqnames(first(x))' or 'seqnames(last(x))'. ### strand(x) - same as 'strand(first(x))' (opposite of 'strand(last(x))'). ### ngap(x) - same as 'ngap(first(x)) + ngap(last(x))'. ### isProperPair(x) - returns "isProperPair" slot. ### seqinfo(x) - returns 'seqinfo(first(x))' (same as 'seqinfo(last(x))'). ### granges(x) - GRanges object of the same length as 'x'. ### grglist(x) - GRangesList object of the same length as 'x'. ### introns(x) - Extract the N gaps in a GRangesList object of the same ### length as 'x'. ### show(x) - compact display in a data.frame-like fashion. ### GAlignmentPairs(x) - constructor. ### x[i] - GAlignmentPairs object of the same class as 'x' ### (endomorphism). ### setGeneric("first", function(x, ...) standardGeneric("first")) setGeneric("last", function(x, ...) standardGeneric("last")) setGeneric("left", function(x, ...) standardGeneric("left")) setGeneric("right", function(x, ...) standardGeneric("right")) setGeneric("isProperPair", function(x) standardGeneric("isProperPair")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Getters. ### setMethod("length", "GAlignmentPairs", function(x) length(x@first) ) setMethod("names", "GAlignmentPairs", function(x) x@NAMES ) setMethod("first", "GAlignmentPairs", function(x, invert.strand=FALSE) { if (!isTRUEorFALSE(invert.strand)) stop("'invert.strand' must be TRUE or FALSE") ans <- setNames(x@first, names(x)) if (invert.strand) ans <- invertRleStrand(ans) ans } ) setMethod("last", "GAlignmentPairs", function(x, invert.strand=FALSE) { if (!isTRUEorFALSE(invert.strand)) stop("'invert.strand' must be TRUE or FALSE") ans <- setNames(x@last, names(x)) if (invert.strand) ans <- invertRleStrand(ans) ans } ) setMethod("left", "GAlignmentPairs", function(x, ...) { x_first <- x@first x_last <- invertRleStrand(x@last) left_is_last <- which(strand(x_first) == "-") idx <- seq_len(length(x)) idx[left_is_last] <- idx[left_is_last] + length(x) ans <- c(x_first, x_last)[idx] setNames(ans, names(x)) } ) setMethod("right", "GAlignmentPairs", function(x, ...) { x_first <- x@first x_last <- invertRleStrand(x@last) right_is_first <- which(strand(x_first) == "-") idx <- seq_len(length(x)) idx[right_is_first] <- idx[right_is_first] + length(x) ans <- c(x_last, x_first)[idx] setNames(ans, names(x)) } ) setMethod("seqnames", "GAlignmentPairs", function(x) seqnames(x@first) ) setMethod("strand", "GAlignmentPairs", function(x) strand(x@first) ) setMethod("ngap", "GAlignmentPairs", function(x) {ngap(x@first) + ngap(x@last)} ) setMethod("isProperPair", "GAlignmentPairs", function(x) x@isProperPair ) setMethod("seqinfo", "GAlignmentPairs", function(x) seqinfo(x@first) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Setters. ### setReplaceMethod("names", "GAlignmentPairs", function(x, value) { if (!is.null(value)) value <- as.character(value) x@NAMES <- value validObject(x) x } ) setReplaceMethod("strand", "GAlignmentPairs", function(x, value) { same_strand <- strand(x@first) == strand(x@last) ## Set the first strand. strand(x@first) <- value ## Then set the last strand to preserve the original relationship ## between first and last strand (i.e. if they were the same, they ## remain the same, if they were opposite, they remain opposite). strand(x@last) <- strand(same_strand == (strand(x@first) == "-")) x } ) setReplaceMethod("elementMetadata", "GAlignmentPairs", function(x, ..., value) { value <- normalizeMetadataColumnsReplacementValue(value, x) x@elementMetadata <- value x } ) setMethod("seqlevelsInUse", "GAlignmentPairs", function(x) { in_use1 <- seqlevelsInUse(x@first) in_use2 <- seqlevelsInUse(x@last) ## We cannot just do union() because we want the returned levels ## to be in the order they appear in 'seqlevels(x)'. intersect(seqlevels(x), union(in_use1, in_use2)) } ) setReplaceMethod("seqinfo", "GAlignmentPairs", function(x, new2old=NULL, force=FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") dangling_seqlevels <- getDanglingSeqlevels(x, new2old=new2old, force=force, seqlevels(value)) if (length(dangling_seqlevels) != 0L) { dropme_in_first <- seqnames(x@first) %in% dangling_seqlevels dropme_in_last <- seqnames(x@last) %in% dangling_seqlevels dropme <- dropme_in_first | dropme_in_last x <- x[!dropme] } seqinfo(x@first, new2old=new2old) <- value seqinfo(x@last, new2old=new2old) <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.GAlignmentPairs.names <- function(x) { x_names <- names(x) if (is.null(x_names)) return(NULL) if (!is.character(x_names) || !is.null(attributes(x_names))) { msg <- c("'names(x)' must be NULL or a character vector ", "with no attributes") return(paste(msg, collapse="")) } if (length(x_names) != length(x)) return("'names(x)' and 'x' must have the same length") NULL } .valid.GAlignmentPairs.first <- function(x) { x_first <- x@first if (class(x_first) != "GAlignments") return("'x@first' must be a GAlignments instance") NULL } .valid.GAlignmentPairs.last <- function(x) { x_last <- x@last if (class(x_last) != "GAlignments") return("'x@last' must be a GAlignments instance") x_first <- x@first if (length(x_last) != length(x_first)) return("'x@last' and 'x@first' must have the same length") if (!identical(seqinfo(x_last), seqinfo(x_first))) return("'seqinfo(x@last)' and 'seqinfo(x@first)' must be identical") NULL } .valid.GAlignmentPairs.isProperPair <- function(x) { x_isProperPair <- x@isProperPair if (!is.logical(x_isProperPair) || !is.null(attributes(x_isProperPair))) { msg <- c("'x@isProperPair' must be a logical vector ", "with no attributes") return(paste(msg, collapse="")) } if (length(x_isProperPair) != length(x)) return("'x@isProperPair' and 'x' must have the same length") if (IRanges:::anyMissing(x_isProperPair)) return("'x@isProperPair' cannot contain NAs") NULL } .valid.GAlignmentPairs <- function(x) { c(.valid.GAlignmentPairs.names(x), .valid.GAlignmentPairs.first(x), .valid.GAlignmentPairs.last(x), .valid.GAlignmentPairs.isProperPair(x)) } setValidity2("GAlignmentPairs", .valid.GAlignmentPairs, where=asNamespace("GenomicRanges")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructors. ### GAlignmentPairs <- function(first, last, isProperPair, names=NULL) { new2("GAlignmentPairs", NAMES=names, first=first, last=last, isProperPair=isProperPair, elementMetadata=new("DataFrame", nrows=length(first)), check=TRUE) } readGAlignmentPairs <- function(file, format="BAM", use.names=FALSE, ...) { if (!isSingleString(format)) stop("'format' must be a single string") if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") if (format == "BAM") { suppressMessages(library("Rsamtools")) ans <- readGAlignmentPairsFromBam(file=file, use.names=use.names, ...) return(ans) } stop("only BAM format is supported at the moment") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Vector methods. ### setMethod(IRanges:::extractROWS, "GAlignmentPairs", function(x, i) { if (missing(i) || !is(i, "Ranges")) i <- IRanges:::normalizeSingleBracketSubscript(i, x) ans_names <- IRanges:::extractROWS(names(x), i) ans_first <- IRanges:::extractROWS(first(x), i) ans_last <- IRanges:::extractROWS(last(x), i) ans_isProperPair <- IRanges:::extractROWS(isProperPair(x), i) ans_mcols <- IRanges:::extractROWS(mcols(x), i) initialize(x, NAMES=ans_names, first=ans_first, last=ans_last, isProperPair=ans_isProperPair, elementMetadata=ans_mcols) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### List methods. ### ### TODO: Remove the "[[" method below after the definition of the ### GAlignmentPairs class is changed to derive from CompressedList. ### (The "[[" method for CompressedList objects should do just fine i.e. it ### should do something like x@unlistData[x@partitioning[[i]]] and that ### should be optimal.) .GAlignmentPairs.getElement <- function(x, i) { c(x@first[i], x@last[i]) } setMethod("[[", "GAlignmentPairs", function(x, i, j, ... , drop=TRUE) { if (missing(i) || !missing(j) || length(list(...)) > 0L) stop("invalid subsetting") i <- IRanges:::normalizeDoubleBracketSubscript(i, x) .GAlignmentPairs.getElement(x, i) } ) ### TODO: Remove this method after the definition of the GAlignmentPairs ### class is changed to derive from CompressedList. setMethod("unlist", "GAlignmentPairs", function(x, recursive=TRUE, use.names=TRUE) { if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") x_first <- x@first x_last <- x@last collate_subscript <- IRanges:::make_XYZxyz_to_XxYyZz_subscript(length(x)) ans <- c(x_first, x_last)[collate_subscript] if (use.names) names(ans) <- rep(names(x), each=2L) ans } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### ### Shrink CompressedList 'x' (typically a GRangesList) by half by combining ### pairs of consecutive top-level elements. .shrinkByHalf <- function(x) { if (length(x) %% 2L != 0L) stop("'x' must have an even length") x_elt_lens <- elementLengths(x) if (length(x_elt_lens) == 0L) { ans_nelt1 <- ans_nelt2 <- integer(0) } else { ans_nelt1 <- x_elt_lens[c(TRUE, FALSE)] ans_nelt2 <- x_elt_lens[c(FALSE, TRUE)] } ans_elt_lens <- ans_nelt1 + ans_nelt2 ans_partitioning <- PartitioningByEnd(cumsum(ans_elt_lens)) ans <- relist(x@unlistData, ans_partitioning) mcols(ans) <- DataFrame(nelt1=ans_nelt1, nelt2=ans_nelt2) ans } setMethod("grglist", "GAlignmentPairs", function(x, order.as.in.query=FALSE, drop.D.ranges=FALSE) { if (!isTRUEorFALSE(order.as.in.query)) stop("'order.as.in.query' must be TRUE or FALSE") x_mcols <- mcols(x) if ("query.break" %in% colnames(x_mcols)) stop("'mcols(x)' cannot have reserved column \"query.break\"") x_first <- x@first x_last <- invertRleStrand(x@last) ## Not the same as doing 'unlist(x, use.names=FALSE)'. collate_subscript <- IRanges:::make_XYZxyz_to_XxYyZz_subscript(length(x)) x_unlisted <- c(x_first, x_last)[collate_subscript] grl <- grglist(x_unlisted, order.as.in.query=TRUE, drop.D.ranges=drop.D.ranges) ans <- .shrinkByHalf(grl) ans_nelt1 <- mcols(ans)$nelt1 if (!order.as.in.query) { ans_nelt2 <- mcols(ans)$nelt2 ## Yes, we reorder *again* when 'order.as.in.query' is FALSE. i <- which(strand(x) == "-") ans <- revElements(ans, i) ans_nelt1[i] <- ans_nelt2[i] } names(ans) <- names(x) x_mcols$query.break <- ans_nelt1 mcols(ans) <- x_mcols ans } ) setMethod("granges", "GAlignmentPairs", function (x) { rg <- range(grglist(x)) if (!all(elementLengths(rg) == 1L)) stop("For some pairs in 'x', the first and last alignments ", "are not aligned to the same chromosome and strand. ", "Cannot extract a single range for them.") unlist(rg) } ) setMethod("introns", "GAlignmentPairs", function(x) { first_introns <- introns(x@first) last_introns <- introns(invertRleStrand(x@last)) ## Fast way of doing mendoapply(c, first_introns, last_introns) ## on 2 CompressedList objects. ans <- c(first_introns, last_introns) collate_subscript <- IRanges:::make_XYZxyz_to_XxYyZz_subscript(length(x)) ans <- ans[collate_subscript] ans <- .shrinkByHalf(ans) mcols(ans) <- NULL ans } ) setAs("GAlignmentPairs", "GRangesList", function(from) grglist(from)) setAs("GAlignmentPairs", "GRanges", function(from) granges(from)) setAs("GAlignmentPairs", "GAlignments", function(from) unlist(from, use.names=TRUE)) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### fillGaps() ### ### Not exported. Used in the SplicingGraphs package. ### fillGaps <- function(x) { if (!is(x, "GRangesList")) stop("'x' must be a GRangesList object") query.breaks <- mcols(x)$query.break if (is.null(query.breaks)) stop("'x' must be a GRangesList object with a \"query.breaks\" ", "metadata column") offsets <- end(x@partitioning) if (length(x) != 0L) offsets <- c(0L, offsets[-length(offsets)]) idx <- IRanges:::fancy_mseq(query.breaks, offsets) half1_partitioning <- PartitioningByEnd(cumsum(query.breaks)) half1 <- relist(x@unlistData[idx], half1_partitioning) half1 <- range(half1)@unlistData half2_eltlens <- elementLengths(x) - query.breaks half2_partitioning <- PartitioningByEnd(cumsum(half2_eltlens)) half2 <- relist(x@unlistData[-idx], half2_partitioning) half2 <- range(half2)@unlistData collate_subscript <- IRanges:::make_XYZxyz_to_XxYyZz_subscript(length(x)) ans_unlistData <- c(half1, half2)[collate_subscript] ans_partitioning <- PartitioningByEnd(2L * seq_along(x), names=names(x)) relist(ans_unlistData, ans_partitioning) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "show" method. ### .makeNakedMatFromGAlignmentPairs <- function(x) { lx <- length(x) nc <- ncol(mcols(x)) pair_cols <- cbind(seqnames=as.character(seqnames(x)), strand=as.character(strand(x))) x_first <- x@first first_cols <- cbind(ranges=IRanges:::showAsCell(ranges(x_first))) x_last <- x@last last_cols <- cbind(ranges=IRanges:::showAsCell(ranges(x_last))) ans <- cbind(pair_cols, `:`=rep.int(":", lx), first_cols, `--`=rep.int("--", lx), last_cols) if (nc > 0L) { tmp <- do.call(data.frame, lapply(mcols(x), IRanges:::showAsCell)) ans <- cbind(ans, `|`=rep.int("|", lx), as.matrix(tmp)) } ans } showGAlignmentPairs <- function(x, margin="", with.classinfo=FALSE, print.seqlengths=FALSE) { lx <- length(x) nc <- ncol(mcols(x)) cat(class(x), " with ", lx, " alignment ", ifelse(lx == 1L, "pair", "pairs"), " and ", nc, " metadata ", ifelse(nc == 1L, "column", "columns"), ":\n", sep="") out <- IRanges:::makePrettyMatrixForCompactPrinting(x, .makeNakedMatFromGAlignmentPairs) if (with.classinfo) { .PAIR_COL2CLASS <- c( seqnames="Rle", strand="Rle" ) .HALVES_COL2CLASS <- c( ranges="IRanges" ) .COL2CLASS <- c(.PAIR_COL2CLASS, ":", .HALVES_COL2CLASS, "--", .HALVES_COL2CLASS) classinfo <- makeClassinfoRowForCompactPrinting(x, .COL2CLASS) ## A sanity check, but this should never happen! stopifnot(identical(colnames(classinfo), colnames(out))) out <- rbind(classinfo, out) } if (nrow(out) != 0L) rownames(out) <- paste0(margin, rownames(out)) print(out, quote=FALSE, right=TRUE) if (print.seqlengths) { cat(margin, "---\n", sep="") showSeqlengths(x, margin=margin) } } setMethod("show", "GAlignmentPairs", function(object) showGAlignmentPairs(object, with.classinfo=TRUE, print.seqlengths=TRUE) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Combining. ### ### TODO: Support 'use.names=TRUE'. unlist_list_of_GAlignmentPairs <- function(x, use.names=TRUE, ignore.mcols=FALSE) { if (!is.list(x)) stop("'x' must be a list") if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") if (use.names) stop("'use.names=TRUE' is not supported yet") if (!isTRUEorFALSE(ignore.mcols)) stop("'ignore.mcols' must be TRUE or FALSE") ## TODO: Implement (in C) fast elementIsNull(x) in IRanges, that does ## 'sapply(x, is.null)' on list 'x', and use it here. null_idx <- which(sapply(x, is.null)) if (length(null_idx) != 0L) x <- x[-null_idx] if (length(x) == 0L) return(new("GAlignmentPairs")) x1 <- x[[1L]] if (!is(x1, "GAlignmentPairs")) stop("first non-NULL element in 'x' must be a GAlignmentPairs object") if (length(x) == 1L) return(x1) ## TODO: Implement (in C) fast elementIs(x, class) in IRanges, that does ## 'sapply(x, is, class)' on list 'x', and use it here. ## 'elementIs(x, "NULL")' should work and be equivalent to ## 'elementIsNull(x)'. class1 <- class(x1) if (!all(sapply(x, is, class1))) stop("all elements in 'x' must be ", class1, " objects (or NULLs)") x_names <- names(x) names(x) <- NULL ## Combine "NAMES" slots. NAMES_slots <- lapply(x, function(xi) xi@NAMES) ## TODO: Use elementIsNull() here when it becomes available. has_no_names <- sapply(NAMES_slots, is.null) if (all(has_no_names)) { ans_NAMES <- NULL } else { noname_idx <- which(has_no_names) if (length(noname_idx) != 0L) NAMES_slots[noname_idx] <- lapply(elementLengths(x[noname_idx]), character) ans_NAMES <- unlist(NAMES_slots, use.names=FALSE) } ## Combine "first" slots. first_slots <- lapply(x, function(xi) xi@first) ans_first <- unlist_list_of_GAlignments(first_slots, use.names=FALSE, ignore.mcols=ignore.mcols) ## Combine "last" slots. last_slots <- lapply(x, function(xi) xi@last) ans_last <- unlist_list_of_GAlignments(last_slots, use.names=FALSE, ignore.mcols=ignore.mcols) ## Combine "isProperPair" slots. isProperPair_slots <- lapply(x, function(xi) xi@isProperPair) ans_isProperPair <- unlist(isProperPair_slots, use.names=FALSE) ## Combine "mcols" slots. We don't need to use fancy ## IRanges:::rbind.mcols() for this because the "mcols" slot of a ## GAlignmentPairs object is guaranteed to be a DataFrame. if (ignore.mcols) { ans_mcols <- new("DataFrame", nrows=length(ans_first)) } else { mcols_slots <- lapply(x, function(xi) xi@elementMetadata) ## Will fail if not all the GAlignmentPairs objects in 'x' have exactly ## the same metadata cols. ans_mcols <- do.call(rbind, mcols_slots) } ## Make 'ans' and return it. new(class(x1), NAMES=ans_NAMES, first=ans_first, last=ans_last, isProperPair=ans_isProperPair, elementMetadata=ans_mcols) } setMethod("c", "GAlignmentPairs", function(x, ..., ignore.mcols=FALSE, recursive=FALSE) { if (!identical(recursive, FALSE)) stop("\"c\" method for GAlignmentPairs objects ", "does not support the 'recursive' argument") if (missing(x)) { args <- unname(list(...)) } else { args <- unname(list(x, ...)) } unlist_list_of_GAlignmentPairs(args, use.names=FALSE, ignore.mcols=ignore.mcols) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Old stuff (deprecated & defunct) ### .GappedAlignmentPairs_warning_msg <- function() { msg <- c(" The GappedAlignmentPairs class, the GappedAlignmentPairs()", "constructor, and the readGappedAlignmentPairs() function, have", "been renamed: GAlignmentPairs, GAlignmentPairs(), and", "readGAlignmentPairs(), respectively. The old names are", "deprecated. Please use the new names instead.") paste0(msg, collapse="\n ") } setClass("GappedAlignmentPairs", contains="GAlignmentPairs") setValidity("GappedAlignmentPairs", function(object) { .Deprecated(msg=.GappedAlignmentPairs_warning_msg()) TRUE } ) setMethod("show", "GappedAlignmentPairs", function(object) { .Deprecated(msg=.GappedAlignmentPairs_warning_msg()) callNextMethod() } ) GappedAlignmentPairs <- function(...) { .Deprecated(msg=.GappedAlignmentPairs_warning_msg()) GAlignmentPairs(...) } readGappedAlignmentPairs <- function(...) { .Deprecated(msg=.GappedAlignmentPairs_warning_msg()) readGAlignmentPairs(...) } GenomicRanges/R/GAlignments-class.R0000644000126300012640000007417212227070333020527 0ustar00biocbuildphs_compbio### ========================================================================= ### GAlignments objects ### ------------------------------------------------------------------------- ### setClass("GAlignments", contains="Vector", representation( NAMES="characterORNULL", # R doesn't like @names !! seqnames="Rle", # 'factor' Rle start="integer", # POS field in SAM cigar="character", # extended CIGAR (see SAM format specs) strand="Rle", # 'factor' Rle #mismatches="characterORNULL", # see MD optional field in SAM format specs elementMetadata="DataFrame", seqinfo="Seqinfo" ), prototype( seqnames=Rle(factor()), strand=Rle(strand()) ) ) ### Formal API: ### names(x) - NULL or character vector. ### length(x) - single integer. Nb of alignments in 'x'. ### seqnames(x) - 'factor' Rle of the same length as 'x'. ### rname(x) - same as 'seqnames(x)'. ### seqnames(x) <- value - replacement form of 'seqnames(x)'. ### rname(x) <- value - same as 'seqnames(x) <- value'. ### cigar(x) - character vector of the same length as 'x'. ### strand(x) - 'factor' Rle of the same length as 'x' (levels: +, -, *). ### qwidth(x) - integer vector of the same length as 'x'. ### start(x), end(x), width(x) - integer vectors of the same length as 'x'. ### ngap(x) - integer vector of the same length as 'x'. ### grglist(x) - GRangesList object of the same length as 'x'. ### granges(x) - GRanges object of the same length as 'x'. ### introns(x) - Extract the N gaps in a GRangesList object of the same ### length as 'x'. ### rglist(x) - CompressedIRangesList object of the same length as 'x'. ### ranges(x) - IRanges object of the same length as 'x'. ### as.data.frame(x) - data.frame with 1 row per alignment in 'x'. ### show(x) - compact display in a data.frame-like fashion. ### GAlignments(x) - constructor. ### x[i] - GAlignments object of the same class as 'x' (endomorphism). ### ### updateCigarAndStart(x, cigar=NULL, start=NULL) - GAlignments ### object of the same length and class as 'x' (endomorphism). ### For internal use only (NOT EXPORTED). ### ### qnarrow(x, start=NA, end=NA, width=NA) - GAlignments object of the ### same length and class as 'x' (endomorphism). ### ### narrow(x, start=NA, end=NA, width=NA) - GAlignments object of the ### same length and class as 'x' (endomorphism). ### ### findOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. Just a convenient wrapper for ### 'findOverlaps(grglist(query), subject, ...)', etc... ### ### countOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. Just a convenient wrapper for ### 'countOverlaps(grglist(query), subject, ...)', etc... ### ### subsetByOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. ### setGeneric("rname", function(x) standardGeneric("rname")) setGeneric("rname<-", function(x, value) standardGeneric("rname<-")) setGeneric("cigar", function(x) standardGeneric("cigar")) setGeneric("qwidth", function(x) standardGeneric("qwidth")) setGeneric("updateCigarAndStart", # not exported function(x, cigar=NULL, start=NULL) standardGeneric("updateCigarAndStart") ) setGeneric("qnarrow", function(x, start=NA, end=NA, width=NA) standardGeneric("qnarrow") ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Getters. ### setMethod("length", "GAlignments", function(x) length(x@cigar)) setMethod("names", "GAlignments", function(x) x@NAMES) setMethod("seqnames", "GAlignments", function(x) x@seqnames) setMethod("rname", "GAlignments", function(x) seqnames(x)) setMethod("cigar", "GAlignments", function(x) x@cigar) setMethod("width", "GAlignments", function(x) cigarWidthAlongReferenceSpace(x@cigar) ) setMethod("start", "GAlignments", function(x, ...) x@start) setMethod("end", "GAlignments", function(x, ...) {x@start + width(x) - 1L}) setMethod("strand", "GAlignments", function(x) x@strand) setMethod("qwidth", "GAlignments", function(x) cigarWidthAlongQuerySpace(x@cigar) ) setMethod("ngap", "GAlignments", function(x) {unname(elementLengths(rglist(x))) - 1L} ) setMethod("seqinfo", "GAlignments", function(x) x@seqinfo) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Setters. ### setReplaceMethod("names", "GAlignments", function(x, value) { if (!is.null(value)) value <- as.character(value) x@NAMES <- value validObject(x) x } ) .normargSeqnamesReplaceValue <- function(x, value, ans.type=c("factor", "Rle")) { ans.type <- match.arg(ans.type) if (!is.factor(value) && !is.character(value) && (!is(value, "Rle") || !is.character(runValue(value)) && !is.factor(runValue(value)))) stop("'seqnames' value must be a character factor/vector, ", "or a 'character' Rle, or a 'factor' Rle") if (ans.type == "factor") { if (!is.factor(value)) value <- as.factor(value) } else if (ans.type == "Rle") { ## We want to return a 'factor' Rle. if (!is(value, "Rle")) { if (!is.factor(value)) value <- as.factor(value) value <- Rle(value) } else if (!is.factor(runValue(value))) { runValue(value) <- as.factor(runValue(value)) } } if (length(value) != length(x)) stop("'seqnames' value must be the same length as the object") value } ### 'old_seqnames' and 'new_seqnames' must be 'factor' Rle. .getSeqnamesTranslationTable <- function(old_seqnames, new_seqnames) { old <- runValue(old_seqnames) new <- runValue(new_seqnames) tmp <- unique(data.frame(old=old, new=new)) if (!identical(runLength(old_seqnames), runLength(new_seqnames)) || anyDuplicated(tmp$old) || anyDuplicated(tmp$new)) stop("mapping between old an new 'seqnames' values is not one-to-one") if (isTRUE(all.equal(as.integer(tmp$old), as.integer(tmp$new)))) { tr_table <- levels(new) names(tr_table) <- levels(old) } else { tr_table <- tmp$new names(tr_table) <- tmp$old } tr_table } setReplaceMethod("seqnames", "GAlignments", function(x, value) { value <- .normargSeqnamesReplaceValue(x, value, ans.type="Rle") tr_table <- .getSeqnamesTranslationTable(seqnames(x), value) x@seqnames <- value seqnames(x@seqinfo) <- tr_table[seqlevels(x)] x } ) setReplaceMethod("rname", "GAlignments", function(x, value) `seqnames<-`(x, value) ) setReplaceMethod("strand", "GAlignments", function(x, value) { x@strand <- normargGenomicRangesStrand(value, length(x)) x } ) setReplaceMethod("elementMetadata", "GAlignments", function(x, ..., value) { value <- normalizeMetadataColumnsReplacementValue(value, x) x@elementMetadata <- value x } ) setReplaceMethod("seqinfo", "GAlignments", function(x, new2old=NULL, force=FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") dangling_seqlevels <- getDanglingSeqlevels(x, new2old=new2old, force=force, seqlevels(value)) if (length(dangling_seqlevels) != 0L) x <- x[!(seqnames(x) %in% dangling_seqlevels)] old_seqinfo <- seqinfo(x) x@seqnames <- makeNewSeqnames(x, new2old, seqlevels(value)) x@seqinfo <- value geom_has_changed <- sequenceGeometryHasChanged(seqinfo(x), old_seqinfo, new2old=new2old) if (any(geom_has_changed, na.rm=TRUE)) validObject(x) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.GAlignments.names <- function(x) { x_names <- names(x) if (is.null(x_names)) return(NULL) if (!is.character(x_names) || !is.null(attributes(x_names))) { msg <- c("'names(x)' must be NULL or a character vector ", "with no attributes") return(paste(msg, collapse="")) } if (length(x_names) != length(x)) return("'names(x)' and 'x' must have the same length") NULL } .valid.GAlignments.seqnames <- function(x) { x_seqnames <- seqnames(x) if (!is(x_seqnames, "Rle") || !is.factor(runValue(x_seqnames)) || !is.null(names(x_seqnames)) || any(is.na(x_seqnames))) return("'seqnames(x)' must be an unnamed 'factor' Rle with no NAs") if (length(x_seqnames) != length(cigar(x))) return("'seqnames(x)' and 'cigar(x)' must have the same length") NULL } .valid.GAlignments.start <- function(x) { x_start <- start(x) if (!is.integer(x_start) || !is.null(names(x_start)) || IRanges:::anyMissing(x_start)) return("'start(x)' must be an unnamed integer vector with no NAs") if (length(x_start) != length(cigar(x))) return("'start(x)' and 'cigar(x)' must have the same length") NULL } .valid.GAlignments.cigar <- function(x) { x_cigar <- cigar(x) if (!is.character(x_cigar) || !is.null(names(x_cigar)) || any(is.na(x_cigar))) return("'cigar(x)' must be an unnamed character vector with no NAs") tmp <- validCigar(x_cigar) if (!is.null(tmp)) return(paste("in 'cigar(x)':", tmp)) NULL } .valid.GAlignments.strand <- function(x) { x_strand <- strand(x) if (!is(x_strand, "Rle") || !is.factor(runValue(x_strand)) || !identical(levels(runValue(x_strand)), levels(strand())) || !is.null(names(x_strand)) || any(is.na(x_strand))) return("'strand(x)' must be an unnamed 'factor' Rle with no NAs (and with levels +, - and *)") if (length(x_strand) != length(cigar(x))) return("'strand(x)' and 'cigar(x)' must have the same length") NULL } .valid.GAlignments <- function(x) { c(.valid.GAlignments.names(x), .valid.GAlignments.seqnames(x), .valid.GAlignments.start(x), .valid.GAlignments.cigar(x), .valid.GAlignments.strand(x), valid.GenomicRanges.seqinfo(x)) } setValidity2("GAlignments", .valid.GAlignments, where=asNamespace("GenomicRanges")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructors. ### .asFactorRle <- function(x) { if (is.character(x)) { x <- Rle(as.factor(x)) } else if (is.factor(x)) { x <- Rle(x) } else if (is(x, "Rle") && is.character(runValue(x))) { runValue(x) <- as.factor(runValue(x)) } else if (!is(x, "Rle") || !is.factor(runValue(x))) { stop("'x' must be a character vector, a factor, ", "a 'character' Rle, or a 'factor' Rle") } x } GAlignments <- function(seqnames=Rle(factor()), pos=integer(0), cigar=character(0), strand=NULL, names=NULL, seqlengths=NULL, ...) { ## Prepare the 'seqnames' slot. seqnames <- .asFactorRle(seqnames) if (any(is.na(seqnames))) stop("'seqnames' cannot have NAs") ## Prepare the 'pos' slot. if (!is.integer(pos) || any(is.na(pos))) stop("'pos' must be an integer vector with no NAs") ## Prepare the 'cigar' slot. if (!is.character(cigar) || any(is.na(cigar))) stop("'cigar' must be a character vector with no NAs") ## Prepare the 'strand' slot. if (is.null(strand)) { if (length(seqnames) != 0L) stop("'strand' must be specified when 'seqnames' is not empty") strand <- Rle(strand()) } else if (is.factor(strand)) { strand <- Rle(strand) } ## Prepare the 'elementMetadata' slot. varlist <- list(...) elementMetadata <- if (0L == length(varlist)) new("DataFrame", nrows=length(seqnames)) else do.call(DataFrame, varlist) ## Prepare the 'seqinfo' slot. if (is.null(seqlengths)) { seqlengths <- rep(NA_integer_, length(levels(seqnames))) names(seqlengths) <- levels(seqnames) } else if (!is.numeric(seqlengths) || is.null(names(seqlengths)) || any(duplicated(names(seqlengths)))) { stop("'seqlengths' must be an integer vector with unique names") } else if (!setequal(names(seqlengths), levels(seqnames))) { stop("'names(seqlengths)' incompatible with 'levels(seqnames)'") } else if (!is.integer(seqlengths)) { storage.mode(seqlengths) <- "integer" } seqinfo <- Seqinfo(seqnames=names(seqlengths), seqlengths=seqlengths) ## Create and return the GAlignments instance. new("GAlignments", NAMES=names, seqnames=seqnames, start=pos, cigar=cigar, strand=strand, elementMetadata=elementMetadata, seqinfo=seqinfo) } setMethod("updateObject", "GAlignments", function(object, ..., verbose=FALSE) { if (verbose) message("updateObject(object = 'GAlignments')") if (is(try(object@NAMES, silent=TRUE), "try-error")) { object@NAMES <- NULL return(object) } if (is(try(validObject(object@seqinfo, complete=TRUE), silent=TRUE), "try-error")) { object@seqinfo <- updateObject(object@seqinfo) return(object) } object } ) setMethod("update", "GAlignments", function(object, ...) { BiocGenerics:::updateS4(object, ...) }) readGAlignments <- function(file, format="BAM", use.names=FALSE, ...) { if (!isSingleString(format)) stop("'format' must be a single string") if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") if (format == "BAM") { suppressMessages(library("Rsamtools")) ans <- readGAlignmentsFromBam(file=file, use.names=use.names, ...) return(ans) } stop("only BAM format is supported at the moment") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Three helper functions used by higher level coercion functions. ### ### Note that their arguments are the different components of a ### GAlignments object instead of just the GAlignments object ### itself (arg 'x'). This allows them to be used in many different contexts ### e.g. when 'x' doesn't exist yet but is in the process of being constructed. ### .GAlignmentsToGRanges <- function(seqnames, start, width, strand, seqinfo, names=NULL) { ranges <- IRanges(start=start, width=width, names=names) ans <- GRanges(seqnames=seqnames, ranges=ranges, strand=strand) seqinfo(ans) <- seqinfo ans } ### Names are propagated via 'x@partitioning' ('x' is a CompressedIRangesList). .CompressedIRangesListToGRangesList <- function(x, seqnames, strand, seqinfo) { elt_lens <- elementLengths(x) seqnames <- rep.int(seqnames, elt_lens) strand <- rep.int(strand, elt_lens) unlistData <- GRanges(seqnames=seqnames, ranges=x@unlistData, strand=strand) seqinfo(unlistData) <- seqinfo new("GRangesList", unlistData=unlistData, partitioning=x@partitioning, elementMetadata=x@elementMetadata) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setGeneric("grglist", function(x, ...) standardGeneric("grglist")) setGeneric("granges", function(x, ...) standardGeneric("granges")) setGeneric("introns", function(x, ...) standardGeneric("introns")) setGeneric("rglist", function(x, ...) standardGeneric("rglist")) setMethod("grglist", "GAlignments", function(x, order.as.in.query=FALSE, drop.D.ranges=FALSE) { rgl <- rglist(x, order.as.in.query=order.as.in.query, drop.D.ranges=drop.D.ranges) .CompressedIRangesListToGRangesList(rgl, seqnames(x), strand(x), seqinfo(x)) } ) setMethod("granges", "GAlignments", function(x) .GAlignmentsToGRanges(seqnames(x), start(x), width(x), strand(x), seqinfo(x), names(x)) ) setMethod("introns", "GAlignments", function(x) { grl <- grglist(x, order.as.in.query=TRUE) psetdiff(granges(x), grl) } ) setMethod("rglist", "GAlignments", function(x, order.as.in.query=FALSE, drop.D.ranges=FALSE) { if (!isTRUEorFALSE(order.as.in.query)) stop("'reorder.ranges.from5to3' must be TRUE or FALSE") ans <- extractAlignmentRangesOnReference(x@cigar, x@start, drop.D.ranges=drop.D.ranges) if (order.as.in.query) ans <- revElements(ans, strand(x) == "-") names(ans) <- names(x) mcols(ans) <- mcols(x) ans } ) setMethod("ranges", "GAlignments", function(x) IRanges(start=start(x), width=width(x), names=names(x)) ) setAs("GAlignments", "GRangesList", function(from) grglist(from)) setAs("GAlignments", "GRanges", function(from) granges(from)) setAs("GAlignments", "RangesList", function(from) rglist(from)) setAs("GAlignments", "Ranges", function(from) ranges(from)) setMethod("as.data.frame", "GAlignments", function(x, row.names=NULL, optional=FALSE, ...) { if (is.null(row.names)) row.names <- names(x) else if (!is.character(row.names)) stop("'row.names' must be NULL or a character vector") ans <- data.frame(seqnames=as.character(seqnames(x)), strand=as.character(strand(x)), cigar=cigar(x), qwidth=qwidth(x), start=start(x), end=end(x), width=width(x), ngap=ngap(x), row.names=row.names, check.rows=TRUE, check.names=FALSE, stringsAsFactors=FALSE) if (ncol(mcols(x))) ans <- cbind(ans, as.data.frame(mcols(x))) return(ans) } ) setAs("GenomicRanges", "GAlignments", function(from) { ga <- GAlignments(seqnames(from), start(from), if (!is.null(mcols(from)[["cigar"]])) mcols(from)[["cigar"]] else paste0(width(from), "M"), strand(from), if (!is.null(names(from))) names(from) else mcols(from)$name, seqlengths(from), mcols(from)[setdiff(colnames(mcols(from)), c("cigar", "name"))]) metadata(ga) <- metadata(from) seqinfo(ga) <- seqinfo(from) ga }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting. ### setMethod(IRanges:::extractROWS, "GAlignments", function(x, i) { if (missing(i) || !is(i, "Ranges")) i <- IRanges:::normalizeSingleBracketSubscript(i, x) ans_names <- IRanges:::extractROWS(names(x), i) ans_seqnames <- IRanges:::extractROWS(seqnames(x), i) ans_start <- IRanges:::extractROWS(start(x), i) ans_cigar <- IRanges:::extractROWS(cigar(x), i) ans_strand <- IRanges:::extractROWS(strand(x), i) ans_mcols <- IRanges:::extractROWS(mcols(x), i) clone(x, NAMES=ans_names, seqnames=ans_seqnames, start=ans_start, cigar=ans_cigar, strand=ans_strand, elementMetadata=ans_mcols) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "show" method. ### .makeNakedMatFromGAlignments <- function(x) { lx <- length(x) nc <- ncol(mcols(x)) ans <- cbind(seqnames=as.character(seqnames(x)), strand=as.character(strand(x)), cigar=cigar(x), qwidth=qwidth(x), start=start(x), end=end(x), width=width(x), ngap=ngap(x)) if (nc > 0L) { tmp <- do.call(data.frame, lapply(mcols(x), IRanges:::showAsCell)) ans <- cbind(ans, `|`=rep.int("|", lx), as.matrix(tmp)) } ans } showGAlignments <- function(x, margin="", with.classinfo=FALSE, print.seqlengths=FALSE) { lx <- length(x) nc <- ncol(mcols(x)) cat(class(x), " with ", lx, " ", ifelse(lx == 1L, "alignment", "alignments"), " and ", nc, " metadata ", ifelse(nc == 1L, "column", "columns"), ":\n", sep="") out <- IRanges:::makePrettyMatrixForCompactPrinting(x, .makeNakedMatFromGAlignments) if (with.classinfo) { .COL2CLASS <- c( seqnames="Rle", strand="Rle", cigar="character", qwidth="integer", start="integer", end="integer", width="integer", ngap="integer" ) classinfo <- makeClassinfoRowForCompactPrinting(x, .COL2CLASS) ## A sanity check, but this should never happen! stopifnot(identical(colnames(classinfo), colnames(out))) out <- rbind(classinfo, out) } if (nrow(out) != 0L) rownames(out) <- paste0(margin, rownames(out)) print(out, quote=FALSE, right=TRUE) if (print.seqlengths) { cat(margin, "---\n", sep="") showSeqlengths(x, margin=margin) } } setMethod("show", "GAlignments", function(object) showGAlignments(object, margin=" ", with.classinfo=TRUE, print.seqlengths=TRUE) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Combining and splitting. ### ### TODO: Support 'use.names=TRUE'. unlist_list_of_GAlignments <- function(x, use.names=TRUE, ignore.mcols=FALSE) { if (!is.list(x)) stop("'x' must be a list") if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") if (use.names) stop("'use.names=TRUE' is not supported yet") if (!isTRUEorFALSE(ignore.mcols)) stop("'ignore.mcols' must be TRUE or FALSE") ## TODO: Implement (in C) fast elementIsNull(x) in IRanges, that does ## 'sapply(x, is.null)' on list 'x', and use it here. null_idx <- which(sapply(x, is.null)) if (length(null_idx) != 0L) x <- x[-null_idx] if (length(x) == 0L) return(new("GAlignments")) x1 <- x[[1L]] if (!is(x1, "GAlignments")) stop("first non-NULL element in 'x' must be a GAlignments object") if (length(x) == 1L) return(x1) ## TODO: Implement (in C) fast elementIs(x, class) in IRanges, that does ## 'sapply(x, is, class)' on list 'x', and use it here. ## 'elementIs(x, "NULL")' should work and be equivalent to ## 'elementIsNull(x)'. class1 <- class(x1) if (!all(sapply(x, is, class1))) stop("all elements in 'x' must be ", class1, " objects (or NULLs)") x_names <- names(x) names(x) <- NULL ## Combine "NAMES" slots. NAMES_slots <- lapply(x, function(xi) xi@NAMES) ## TODO: Use elementIsNull() here when it becomes available. has_no_names <- sapply(NAMES_slots, is.null) if (all(has_no_names)) { ans_NAMES <- NULL } else { noname_idx <- which(has_no_names) if (length(noname_idx) != 0L) NAMES_slots[noname_idx] <- lapply(elementLengths(x[noname_idx]), character) ans_NAMES <- unlist(NAMES_slots, use.names=FALSE) } ## Combine "seqnames" slots. seqnames_slots <- lapply(x, function(xi) xi@seqnames) ## TODO: Implement unlist_list_of_Rle() in IRanges and use it here. ans_seqnames <- do.call(c, seqnames_slots) ## Combine "start" slots. start_slots <- lapply(x, function(xi) xi@start) ans_start <- unlist(start_slots, use.names=FALSE) ## Combine "cigar" slots. cigar_slots <- lapply(x, function(xi) xi@cigar) ans_cigar <- unlist(cigar_slots, use.names=FALSE) ## Combine "strand" slots. strand_slots <- lapply(x, function(xi) xi@strand) ## TODO: Implement unlist_list_of_Rle() in IRanges and use it here. ans_strand <- do.call(c, strand_slots) ## Combine "mcols" slots. We don't need to use fancy ## IRanges:::rbind.mcols() for this because the "mcols" slot of a ## GAlignments object is guaranteed to be a DataFrame. if (ignore.mcols) { ans_mcols <- new("DataFrame", nrows=length(ans_start)) } else { mcols_slots <- lapply(x, function(xi) xi@elementMetadata) ## Will fail if not all the GAlignments objects in 'x' have exactly ## the same metadata cols. ans_mcols <- do.call(rbind, mcols_slots) } ## Combine "seqinfo" slots. seqinfo_slots <- lapply(x, function(xi) xi@seqinfo) ans_seqinfo <- do.call(merge, seqinfo_slots) ## Make 'ans' and return it. new(class(x1), NAMES=ans_NAMES, seqnames=ans_seqnames, start=ans_start, cigar=ans_cigar, strand=ans_strand, elementMetadata=ans_mcols, seqinfo=ans_seqinfo) } setMethod("c", "GAlignments", function (x, ..., ignore.mcols=FALSE, recursive=FALSE) { if (!identical(recursive, FALSE)) stop("\"c\" method for GAlignments objects ", "does not support the 'recursive' argument") if (missing(x)) { args <- unname(list(...)) } else { args <- unname(list(x, ...)) } unlist_list_of_GAlignments(args, use.names=FALSE, ignore.mcols=ignore.mcols) } ) setMethod("splitAsListReturnedClass", "GAlignments", function(x) "GAlignmentsList" ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "updateCigarAndStart" method. ### ### Performs atomic update of the cigar/start information. ### For internal use only (not exported). ### setMethod("updateCigarAndStart", "GAlignments", # not exported function(x, cigar=NULL, start=NULL) { if (is.null(cigar)) { cigar <- cigar(x) } else { if (!is.character(cigar) || length(cigar) != length(x)) stop("when not NULL, 'cigar' must be a character vector ", "of the same length as 'x'") ## There might be an "rshift" attribute on 'cigar', typically. ## We want to get rid of it as well as any other potential ## attribute like names, dim, dimnames etc... attributes(cigar) <- NULL } if (is.null(start)) start <- start(x) else if (!is.integer(start) || length(start) != length(x)) stop("when not NULL, 'start' must be an integer vector ", "of the same length as 'x'") x@cigar <- cigar x@start <- start x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "qnarrow" method. ### narrowGAlignments <- function(x, CIGAR_CUTTER, start, end, width) { ans_cigar <- CIGAR_CUTTER(cigar(x), start=start, end=end, width=width) ans_start <- start(x) + attr(ans_cigar, "rshift") updateCigarAndStart(x, cigar=ans_cigar, start=ans_start) } setMethod("qnarrow", "GAlignments", function(x, start=NA, end=NA, width=NA) narrowGAlignments(x, cigarQNarrow, start, end, width) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Mapping ### setMethod("map", c("GenomicRanges", "GAlignments"), function(from, to) { to_grl <- grglist(to, drop.D.ranges=TRUE) from_ol <- findOverlaps(from, to_grl, ignore.strand=TRUE, type="within") to_hits <- to[subjectHits(from_ol)] from_hits <- ranges(from)[queryHits(from_ol)] ranges <- pmap(from_hits, to_hits) space <- names(to_hits) if (is.null(space)) space <- as.character(seq_len(length(to))[subjectHits(from_ol)]) new("RangesMapping", hits = from_ol, space = Rle(space), ranges = ranges) }) setMethod("pmap", c("Ranges", "GAlignments"), function(from, to) { starts <- .Call("ref_locs_to_query_locs", start(from), cigar(to), start(to), FALSE, PACKAGE="GenomicRanges") ends <- .Call("ref_locs_to_query_locs", end(from), cigar(to), start(to), TRUE, PACKAGE="GenomicRanges") ends <- pmax(ends, starts - 1L) IRanges(starts, ends) }) setGeneric("prmap", function(from, to) standardGeneric("prmap")) # not exported setMethod("prmap", c("Ranges", "GAlignments"), # not exported function(from, to) { starts <- .Call("query_locs_to_ref_locs", start(from), cigar(to), start(to), FALSE, PACKAGE="GenomicRanges") ends <- .Call("query_locs_to_ref_locs", end(from), cigar(to), start(to), TRUE, PACKAGE="GenomicRanges") ends <- pmax(ends, starts - 1L) IRanges(starts, ends) }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Old stuff (deprecated & defunct) ### .GappedAlignments_warning_msg <- function() { msg <- c(" The GappedAlignments class, the GappedAlignments()", "constructor, and the readGappedAlignments() function, have been", "renamed: GAlignments, GAlignments(), and readGAlignments(),", "respectively. The old names are deprecated. Please use the new ", "names instead.") paste0(msg, collapse="\n ") } setClass("GappedAlignments", contains="GAlignments") setValidity("GappedAlignments", function(object) { .Deprecated(msg=.GappedAlignments_warning_msg()) TRUE } ) setMethod("show", "GappedAlignments", function(object) { .Deprecated(msg=.GappedAlignments_warning_msg()) callNextMethod() } ) GappedAlignments <- function(...) { .Deprecated(msg=.GappedAlignments_warning_msg()) GAlignments(...) } readGappedAlignments <- function(...) { .Deprecated(msg=.GappedAlignments_warning_msg()) readGAlignments(...) } GenomicRanges/R/GAlignmentsList-class.R0000644000126300012640000003162412227070333021356 0ustar00biocbuildphs_compbio### ========================================================================= ### GAlignmentsList objects ### ------------------------------------------------------------------------- ### setClass("GAlignmentsList", contains="CompressedList", representation( unlistData="GAlignments", elementMetadata="DataFrame" ), prototype( elementType="GAlignments" ) ) ### Formal API: ### names(x) - NULL or character vector. ### length(x) - single integer. Nb of alignments in 'x'. ### seqnames(x) - 'factor' Rle of the same length as 'x'. ### rname(x) - same as 'seqnames(x)'. ### seqnames(x) <- value - replacement form of 'seqnames(x)'. ### rname(x) <- value - same as 'seqnames(x) <- value'. ### cigar(x) - character vector of the same length as 'x'. ### strand(x) - 'factor' Rle of the same length as 'x' (levels: +, -, *). ### qwidth(x) - integer vector of the same length as 'x'. ### start(x), end(x), width(x) - integer vectors of the same length as 'x'. ### ngap(x) - integer vector of the same length as 'x'. ### grglist(x) - GRangesList object of the same length as 'x'. ### granges(x) - GRanges object of the same length as 'x'. ### introns(x) - Extract the N gaps in a GAlignmentsList object of the same ### length as 'x'. ### rglist(x) - CompressedIRangesList object of the same length as 'x'. ### ranges(x) - IRanges object of the same length as 'x'. ### as.data.frame(x) - data.frame with 1 row per alignment in 'x'. ### show(x) - compact display in a data.frame-like fashion. ### GAlignmentsList(x, ...) - constructor. ### x[i] - GAlignmentsList object of the same class as 'x' ### (endomorphism). ### ### findOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. Just a convenient wrapper for ### 'findOverlaps(grglist(query), subject, ...)', etc... ### ### countOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. Just a convenient wrapper for ### 'countOverlaps(grglist(query), subject, ...)', etc... ### ### subsetByOverlaps(query, subject) - 'query' or 'subject' or both are ### GAlignments objects. ### ### qnarrow(x, start=NA, end=NA, width=NA) - GAlignmentsList object of the ### same length and class as 'x' (endomorphism). ### ### narrow(x, start=NA, end=NA, width=NA) - GAlignmentsList object of the ### same length and class as 'x' (endomorphism). ### ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Getters. ### setMethod("seqnames", "GAlignmentsList", function(x) new2("CompressedRleList", unlistData=x@unlistData@seqnames, partitioning=x@partitioning, check=FALSE) ) setMethod("rname", "GAlignmentsList", function(x) new2("CompressedRleList", unlistData=x@unlistData@seqnames, partitioning=x@partitioning, check=FALSE) ) setMethod("cigar", "GAlignmentsList", function(x) new2("CompressedCharacterList", unlistData=x@unlistData@cigar, partitioning=x@partitioning, check=FALSE) ) setMethod("strand", "GAlignmentsList", function(x) new2("CompressedRleList", unlistData=x@unlistData@strand, partitioning=x@partitioning, check=FALSE) ) setMethod("qwidth", "GAlignmentsList", function(x) new2("CompressedIntegerList", unlistData=cigarWidthAlongQuerySpace(x@unlistData@cigar), partitioning=x@partitioning, check=FALSE) ) setMethod("ngap", "GAlignmentsList", function(x) new2("CompressedIntegerList", unlistData=unname(elementLengths(rglist(x@unlistData))) - 1L, partitioning=x@partitioning, check=FALSE) ) setMethod("start", "GAlignmentsList", function(x, ...) new2("CompressedIntegerList", unlistData=x@unlistData@start, partitioning=x@partitioning, check=FALSE) ) setMethod("end", "GAlignmentsList", function(x, ...) new2("CompressedIntegerList", unlistData=end(x@unlistData), partitioning=x@partitioning, check=FALSE) ) setMethod("width", "GAlignmentsList", function(x) new2("CompressedIntegerList", unlistData=cigarWidthAlongReferenceSpace(x@unlistData@cigar), partitioning=x@partitioning, check=FALSE) ) setMethod("seqinfo", "GAlignmentsList", function(x) seqinfo(x@unlistData)) setMethod("elementMetadata", "GAlignmentsList", .getElementMetadataList) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Setters. ### setReplaceMethod("rname", "GAlignmentsList", function(x, value) `seqnames<-`(x, value) ) setReplaceMethod("elementMetadata", "GAlignmentsList", .replaceElementMetadataList ) setReplaceMethod("strand", "GAlignmentsList", .replaceStrandList) setReplaceMethod("seqinfo", "GAlignmentsList", .replaceSeqinfoList) setReplaceMethod("seqnames", "GAlignmentsList", .replaceSeqnamesList) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.GAlignmentsList <- function(x) { ## TDB: Currently known pitfalls are caught by ## GAlignments validity. } setValidity2("GAlignmentsList", .valid.GAlignmentsList) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructors. ### GAlignmentsList <- function(...) { listData <- list(...) if (length(listData) == 0L) { unlistData <- GAlignments() } else { if (length(listData) == 1L && is.list(listData[[1L]])) listData <- listData[[1L]] if (!all(sapply(listData, is, "GAlignments"))) stop("all elements in '...' must be GAlignments objects") unlistData <- suppressWarnings(do.call("c", unname(listData))) } relist(unlistData, PartitioningByEnd(listData)) } ## Taken from GRangesList. Maybe not needed? makeGAlignmentsListFromFeatureFragments <- function(seqnames=Rle(factor()), fragmentPos=list(), fragmentCigar=list(), strand=character(0), sep=",") { fragmentPos <- .normargListOfIntegers(fragmentPos, sep, "fragmentPos") nfrag_per_feature <- elementLengths(fragmentPos) pos <- unlist(fragmentPos, recursive=FALSE, use.names=FALSE) ncigar_per_elt <- elementLengths(fragmentCigar) if (length(ncigar_per_elt) != 0L) { if (length(nfrag_per_feature) == 0L) nfrag_per_feature <- ncigar_per_elt else if (!identical(ncigar_per_elt, nfrag_per_feature)) stop("'fragmentPos' and 'fragmentCigar' have ", "incompatible \"shapes\"") } cigar <- unlist(fragmentCigar, recursive=FALSE, use.names=FALSE) nfrag <- sum(nfrag_per_feature) if (nfrag == 0L) { ## Cannot blindly subset by FALSE because it doesn't work on a ## zero-length Rle. if (length(seqnames) != 0L) seqnames <- seqnames[FALSE] if (length(strand) != 0L) strand <- strand[FALSE] } else { if (length(seqnames) != length(nfrag_per_feature) || length(strand) != length(nfrag_per_feature)) stop("length of 'seqnames' and/or 'strand' is incompatible ", "with fragmentPos/Cigar") seqnames <- rep.int(seqnames, nfrag_per_feature) strand <- rep.int(strand, nfrag_per_feature) } unlistData <- GAlignments(seqnames=seqnames, pos=pos, cigar=cigar, strand=strand) partitioning <- PartitioningByEnd(cumsum(nfrag_per_feature), names=NULL) relist(unlistData, partitioning) } setMethod("updateObject", "GAlignmentsList", function(object, ..., verbose=FALSE) { if (verbose) message("updateObject(object = 'GAlignmentsList')") if (is(try(validObject(object@unlistData, complete=TRUE), silent=TRUE), "try-error")) { object@unlistData <- updateObject(object@unlistData) return(object) } object } ) readGAlignmentsList <- function(file, format="BAM", use.names=FALSE, ...) { if (!isSingleString(format)) stop("'format' must be a single string") if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") if (format == "BAM") { suppressMessages(library("Rsamtools")) ans <- readGAlignmentsListFromBam(file=file, use.names=use.names, ...) return(ans) } stop("only BAM format is supported at the moment") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setMethod("grglist", "GAlignmentsList", function(x, order.as.in.query=FALSE, drop.D.ranges=FALSE, ignore.strand=FALSE) { if (ignore.strand) strand(x@unlistData) <- "*" rgl <- rglist(x@unlistData, order.as.in.query=order.as.in.query, drop.D.ranges=drop.D.ranges) eltlen <- elementLengths(rgl) gr <- GRanges(rep.int(seqnames(x@unlistData), eltlen), ranges=unlist(rgl), strand=rep.int(strand(x@unlistData), eltlen), seqinfo=seqinfo(x@unlistData)) relist(gr, .shiftPartition(x@partitioning, rgl@partitioning)) } ) setMethod("granges", "GAlignmentsList", function(x, ignore.strand=FALSE) { if (ignore.strand) strand(x@unlistData) <- "*" msg <- paste0("For some list elements in 'x', the ranges are ", "not aligned to the same chromosome and strand. ", "Cannot extract a single range for them.") rg <- range(grglist(x, ignore.strand=ignore.strand)) if (all(elementLengths(rg) != 1L)) { if (ignore.strand) warning(msg) else warning(paste0(msg, " Consider using 'ignore.strand=TRUE'.")) } unlist(rg) } ) setMethod("introns", "GAlignmentsList", function(x, ignore.strand=FALSE) { if (ignore.strand) strand(x@unlistData) <- "*" grl <- introns(x@unlistData) f <- rep(seq_along(x@partitioning), width(x@partitioning)) relist(grl@unlistData, .shiftPartition(x@partitioning, grl@partitioning)) } ) setMethod("rglist", "GAlignmentsList", function(x, order.as.in.query=FALSE, drop.D.ranges=FALSE) { rgl <- rglist(x@unlistData) partitioning <- .shiftPartition(x@partitioning, rgl@partitioning) relist(rgl@unlistData, partitioning) } ) ## Adjust the widths of 'partition1' to accomodate the ## increased / decreased number of splits in 'partition2'. ## The return value is a PartitioningByEnd object the same ## length as 'partition1'. .shiftPartition <- function(partition1, partition2) { f <- rep(seq_along(partition1), width(partition1)) w <- sapply(split(width(partition2), f), sum) if (any(w < 0)) stop("width of 'partition2' cannot be negative") wdiff <- w - width(partition1) PartitioningByEnd(end(partition1) + cumsum(wdiff), names=names(partition1)) } setMethod("ranges", "GAlignmentsList", function(x) { rgl <- rglist(x@unlistData) lst <- relist(unlist(rgl), .shiftPartition(x@partitioning, rgl@partitioning)) unlist(range(lst), use.names=FALSE) } ) setAs("GAlignmentsList", "GRangesList", function(from) grglist(from) ) setAs("GAlignmentsList", "GRanges", function(from) granges(from) ) setAs("GAlignmentsList", "RangesList", function(from) rglist(from) ) setAs("GAlignmentsList", "Ranges", function(from) ranges(from) ) setMethod("as.data.frame", "GAlignmentsList", .GRangesListAsdataframe) setAs("GAlignmentPairs", "GAlignmentsList", function(from) { if (length(from) == 0L) pbe <- PartitioningByEnd() else pbe <- PartitioningByEnd(seq(2, 2*length(from), 2), names=names(from)) new("GAlignmentsList", unlistData=unlist(from, use.names=FALSE), partitioning=pbe) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting. ### ## "[", "[<-" and "[[", "[[<-" from CompressedList ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### show method. ### setMethod("show", "GAlignmentsList", function(object) .showList(object, showGAlignments, FALSE) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "qnarrow" method. ### setMethod("qnarrow", "GAlignmentsList", function(x, start=NA, end=NA, width=NA) { gal <- qnarrow(x@unlistData, start=start, end=end, width=width) relist(gal, x@partitioning) } ) GenomicRanges/R/GIntervalTree-class.R0000644000126300012640000001060412227070333021020 0ustar00biocbuildphs_compbio#' GIntervalTree class #' #' Defines persistent interval trees for GRanges objects. #' #' #' @name GIntervalTree-class #' @family GIntervalTree #' #' @exportClass GIntervalTree #' @import GenomicRanges #' @import BiocGenerics setClass("GIntervalTree", contains="GenomicRanges", representation( ranges="IntervalForest", rngidx="IRanges", strand="Rle", elementMetadata="DataFrame", seqinfo="Seqinfo"), prototype( strand=Rle(strand())) ) .valid.GIntervalTree.rngidx <- function(x) { x_len <- length(x) if (sum(width(x@rngidx)) != x_len) return("ivalid 'rngidx' slot") NULL } .valid.GIntervalTree.ranges <- function(x) { if (class(x@ranges) != "IntervalForest") return("'x@ranges' must be an IntervalForest instance") if (nobj(x@ranges@partitioning) != length(x)) return("'nobj(x@ranges@partitioning)' must equal 'length(x)'") NULL } .valid.GIntervalTree <- function(x) { c(.valid.GIntervalTree.ranges(x), .valid.GIntervalTree.rngidx(x)) } setValidity2("GIntervalTree", .valid.GIntervalTree) .GT_getIndex <- function(from) { fvals <- as.integer(runValue(seqnames(from))) if (IRanges:::isNotSorted(fvals)) { flens <- runLength(seqnames(from)) idx <- IRanges:::orderInteger(fvals) rngidx <- successiveIRanges(flens)[idx] idx <- IRanges:::orderInteger(start(rngidx)) return(IRanges(end=cumsum(width(rngidx))[idx], width=width(rngidx)[idx])) } IRanges() } .GT_reorderValue <- function(obj, val, rngidx=NULL) { if (!is(obj, "GIntervalTree") && is.null(rngidx)) stop("obj must be 'GIntervalTree' object") if (is.null(rngidx)) rngidx <- obj@rngidx if (length(rngidx)) val <- IRanges:::extractROWS(val, rngidx) val } #' seqnames accessor #' #' #' @rdname GIntervalTree-class #' @family GIntervalTree #' @export #' @importMethodsFrom GenomicRanges seqnames setMethod("seqnames", "GIntervalTree", function(x) Rle(.GT_reorderValue(x, space(x@ranges)))) #' ranges accessor #' #' @rdname GIntervalTree-class #' @family GIntervalTree #' @export #' @importMethodsFrom GenomicRanges ranges setMethod("ranges", "GIntervalTree", function(x) .GT_reorderValue(x, as(x@ranges, "IRanges"))) #' strand accessor #' #' @rdname GIntervalTree-class #' @family GIntervalTree #' @export #' @importMethodsFrom GenomicRanges strand setMethod("strand", "GIntervalTree", function(x) x@strand) #' seqinfo accessor #' #' @rdname GIntervalTree-class #' @family GIntervalTree #' @export #' @importMethodsFrom GenomicRanges seqinfo setMethod("seqinfo", "GIntervalTree", function(x) x@seqinfo) setMethod("start", "GIntervalTree", function(x, ...) .GT_reorderValue(x,start(x@ranges, ...)@unlistData)) setMethod("end", "GIntervalTree", function(x, ...) .GT_reorderValue(x, end(x@ranges, ...)@unlistData)) setMethod("width", "GIntervalTree", function(x) .GT_reorderValue(x, width(x@ranges)@unlistData)) #' construct from GRanges object via coercion #' #' @name as #' @family GIntervalTree #' @importClassesFrom GenomicRanges GRanges setAs("GRanges", "GIntervalTree", function(from) { if (any(isCircular(from), na.rm=TRUE)) stop("'GIntervalTree' objects not supported for circular sequences") rl <- split(unname(ranges(from)), seqnames(from)) new2("GIntervalTree", strand=strand(from), elementMetadata=mcols(from), seqinfo=seqinfo(from), ranges=IntervalForest(rl), rngidx=.GT_getIndex(from), check=FALSE) } ) #' constructor function using GRanges object #' #' @family GIntervalTree #' @export GIntervalTree <- function(x) { as(x, "GIntervalTree") } #' coercion from GIntervalTree to GRanges object #' #' @family GIntervalTree #' @name as #' @importClassesFrom GenomicRanges GRanges setAs("GIntervalTree", "GRanges", function(from) { out=new("GRanges", seqnames=seqnames(from), strand=strand(from), elementMetadata=mcols(from), seqinfo=seqinfo(from), ranges=ranges(from)) out } ) #' subsetting #' #' @family GIntervalTree #' @rdname GIntervalTree-class #' @export setMethod("[", "GIntervalTree", function(x, i, j, ...) { gr <- callGeneric(as(x, "GRanges"),i=i, ...) as(gr, "GIntervalTree") }) GenomicRanges/R/GRanges-class.R0000644000126300012640000001631412227070333017637 0ustar00biocbuildphs_compbio### ========================================================================= ### GRanges objects ### ------------------------------------------------------------------------- ### setClass("GRanges", contains="GenomicRanges", representation( seqnames="Rle", ranges="IRanges", strand="Rle", elementMetadata="DataFrame", seqinfo="Seqinfo" ), prototype( seqnames=Rle(factor()), strand=Rle(strand()) ) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.GRanges.ranges <- function(x) { if (!is.null(x@ranges@elementMetadata)) return("slot 'ranges' cannot have metadata columns") NULL } .valid.GRanges.mcols <- function(x) { x_mcols <- x@elementMetadata if (!is.null(rownames(x_mcols))) return("'mcols(x)' cannot have row names") NULL } .valid.GRanges <- function(x) { c(.valid.GRanges.ranges(x), .valid.GRanges.mcols(x)) } setValidity2("GRanges", .valid.GRanges) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor. ### ### TODO: Revisit this constructor to make it more user friendly. ### Also provide a way to supply the sequence circularity flags. newGRanges <- ## hidden constructor shared with other GRanges-like objects function(class, seqnames = Rle(), ranges = IRanges(), strand = Rle("*", length(seqnames)), mcols = DataFrame(), seqlengths = NULL, seqinfo = NULL) { ## occurs first for generation of default seqlengths if (!is(seqnames, "Rle")) seqnames <- Rle(seqnames) if (!is.factor(runValue(seqnames))) runValue(seqnames) <- factor(runValue(seqnames)) if (class(ranges) != "IRanges") ranges <- as(ranges, "IRanges") if (!is(strand, "Rle")) strand <- Rle(strand) if (!is.factor(runValue(strand)) || !identical(levels(runValue(strand)), levels(strand()))) runValue(strand) <- strand(runValue(strand)) if (IRanges:::anyMissing(runValue(strand))) { warning("missing values in strand converted to \"*\"") runValue(strand)[is.na(runValue(strand))] <- "*" } lx <- max(length(seqnames), length(ranges), length(strand)) if (lx > 1) { if (length(seqnames) == 1) seqnames <- rep(seqnames, lx) if (length(ranges) == 1) ranges <- rep(ranges, lx) if (length(strand) == 1) strand <- rep(strand, lx) } if (is.null(seqlengths)) seqlengths <- setNames(rep(NA_integer_, length(levels(seqnames))), levels(seqnames)) if (is.null(seqinfo)) seqinfo <- Seqinfo(names(seqlengths), seqlengths) ## in case we have seqlengths for unrepresented sequences runValue(seqnames) <- factor(runValue(seqnames), seqnames(seqinfo)) if (!is.null(mcols(ranges))) { warning("'ranges' has metadata columns, dropping them") mcols(ranges) <- NULL } if (!is(mcols, "DataFrame")) # should never happen when calling GRanges() stop("'mcols' must be a DataFrame object") if (ncol(mcols) == 0L) { mcols <- new("DataFrame", nrows = length(seqnames)) } else if (!is.null(rownames(mcols))) { if (is.null(names(ranges))) names(ranges) <- rownames(mcols) rownames(mcols) <- NULL } new(class, seqnames = seqnames, ranges = ranges, strand = strand, seqinfo = seqinfo, elementMetadata = mcols) } GRanges <- function(seqnames = Rle(), ranges = IRanges(), strand = Rle("*", length(seqnames)), ..., seqlengths = NULL, seqinfo = NULL) { newGRanges("GRanges", seqnames = seqnames, ranges = ranges, strand = strand, mcols = DataFrame(...), seqlengths = seqlengths, seqinfo = seqinfo) } setMethod("updateObject", "GRanges", function(object, ..., verbose=FALSE) { if (verbose) message("updateObject(object = 'GRanges')") if (is(try(object@seqinfo, silent=TRUE), "try-error")) { object <- new(class(object), seqnames = object@seqnames, ranges = object@ranges, strand = object@strand, elementMetadata = object@elementMetadata, metadata = object@metadata, seqinfo = Seqinfo(seqnames = names(object@seqlengths), seqlengths = object@seqlengths)) return(object) } if (is(try(validObject(object@seqinfo, complete=TRUE), silent=TRUE), "try-error")) { object@seqinfo <- updateObject(object@seqinfo) return(object) } object } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setAs("RangedData", "GRanges", function(from) { ans_ranges <- unlist(ranges(from), use.names=FALSE) ans_mcols <- unlist(values(from), use.names=FALSE) rownames(ans_mcols) <- NULL whichStrand <- match("strand", colnames(ans_mcols)) if (is.na(whichStrand)) { ans_strand <- Rle(strand("*"), length(ans_ranges)) } else { ans_strand <- Rle(strand(from)) ans_mcols <- ans_mcols[-whichStrand] } ans <- GRanges(seqnames=space(from), ranges=ans_ranges, strand=ans_strand, ans_mcols, seqinfo=seqinfo(from)) metadata(ans) <- metadata(from) ans } ) ### Does NOT propagate the ranges names and metadata columns i.e. always ### returns an unnamed GRanges object with no metadata columns. setAs("RangesList", "GRanges", function(from) { if (!length(from)) return(GRanges()) from <- as(from, "CompressedIRangesList") ranges <- unlist(from, use.names=FALSE) ranges <- IRanges(start=start(ranges), width=width(ranges)) ## From now, ranges is guaranteed to be an IRanges *instance*. gr <- GRanges(seqnames = space(from), ranges = ranges, strand = Rle("*", length(ranges))) seqinfo(gr) <- seqinfo(from) metadata(gr) <- metadata(from) gr }) setAs("RleList", "GRanges", function(from) { rd <- as(from, "RangedData") rd$strand <- "*" gr <- as(rd, "GRanges") seqlengths(gr) <- elementLengths(from) gr }) setAs("RleViewsList", "GRanges", function(from) { as(as(from, "RangedData"), "GRanges") }) setAs("Seqinfo", "GRanges", .fromSeqinfoToGRanges) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Slot getters and setters. ### setMethod("seqnames", "GRanges", function(x) x@seqnames) setMethod("ranges", "GRanges", function(x, ...) x@ranges) setMethod("strand", "GRanges", function(x) x@strand) setMethod("seqinfo", "GRanges", function(x) x@seqinfo) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Combining and Splitting ### setMethod("splitAsListReturnedClass", "GRanges", function(x) "GRangesList") GenomicRanges/R/GRangesList-class.R0000644000126300012640000005715712227070333020505 0ustar00biocbuildphs_compbio### ========================================================================= ### GRangesList objects ### ------------------------------------------------------------------------- ### setClass("GRangesList", contains=c("CompressedList", "GenomicRangesList"), representation( unlistData="GRanges", elementMetadata="DataFrame" ), prototype( elementType="GRanges" ) ) setClassUnion("GenomicRangesORGRangesList", c("GenomicRanges", "GRangesList")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.GRangesList.mcols <- function(x) { msg <- NULL x_mcols <- x@elementMetadata if (nrow(x_mcols) != length(x)) msg <- "'mcols(x)' has an incorrect number of rows" if (any(c("seqnames", "ranges", "strand", "start", "end", "width", "element") %in% colnames(x_mcols))) msg <- c(msg, paste("'mcols(x)' cannot have columns named \"seqnames\", ", "\"ranges\", \"strand\", \"start\", \"end\", \"width\", ", "or \"element\"")) if (!is.null(rownames(x_mcols))) msg <- c(msg, "'mcols(x)' cannot have row names") msg } .valid.GRangesList <- function(x) { c(.valid.GRangesList.mcols(x)) } setValidity2("GRangesList", .valid.GRangesList) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructors. ### GRangesList <- function(...) { listData <- list(...) if (length(listData) == 0L) { unlistData <- GRanges() } else { if (length(listData) == 1L && is.list(listData[[1L]])) listData <- listData[[1L]] if (!all(sapply(listData, is, "GRanges"))) stop("all elements in '...' must be GRanges objects") unlistData <- suppressWarnings(do.call("c", unname(listData))) } relist(unlistData, PartitioningByEnd(listData)) } ### TODO: Use this in GenomicFeatures::transcriptLocs2refLocs() and remove ### GenomicFeatures:::.normargExonStartsOrEnds(). .normargListOfIntegers <- function(arg, sep, argname) { if (is.list(arg)) return(arg) if (is(arg, "IntegerList")) return(as.list(arg)) if (is.character(arg)) return(strsplitAsListOfIntegerVectors(arg, sep=sep)) stop("'", argname, "' must be a list of integer vectors, ", "an IntegerList object,\n or a character vector where ", "each element is a comma-separated list of\n integers") } ### Typically, the field values will come from a file that needs to be loaded ### into a data.frame first. makeGRangesListFromFeatureFragments <- function(seqnames=Rle(factor()), fragmentStarts=list(), fragmentEnds=list(), fragmentWidths=list(), strand=character(0), sep=",") { fragmentStarts <- .normargListOfIntegers(fragmentStarts, sep, "fragmentStarts") nfrag_per_feature <- elementLengths(fragmentStarts) start <- unlist(fragmentStarts, recursive=FALSE, use.names=FALSE) fragmentEnds <- .normargListOfIntegers(fragmentEnds, sep, "fragmentEnds") nend_per_elt <- elementLengths(fragmentEnds) if (length(nend_per_elt) != 0L) { if (length(nfrag_per_feature) == 0L) nfrag_per_feature <- nend_per_elt else if (!identical(nend_per_elt, nfrag_per_feature)) stop("'fragmentStarts' and 'fragmentEnds' have ", "incompatible \"shapes\"") } end <- unlist(fragmentEnds, recursive=FALSE, use.names=FALSE) fragmentWidths <- .normargListOfIntegers(fragmentWidths, sep, "fragmentWidths") nwidth_per_elt <- elementLengths(fragmentWidths) if (length(nwidth_per_elt) != 0L) { if (length(nfrag_per_feature) == 0L) nfrag_per_feature <- nwidth_per_elt else if (!identical(nwidth_per_elt, nfrag_per_feature)) stop("\"shape\" of 'fragmentWidths' is incompatible ", "with \"shape\" of 'fragmentStarts' or 'fragmentEnds'") } width <- unlist(fragmentWidths, recursive=FALSE, use.names=FALSE) ranges <- IRanges(start=start, end=end, width=width) nfrag <- sum(nfrag_per_feature) if (nfrag != length(ranges)) stop("GenomicRanges internal error in makeGRangesListFromFields(): ", "nfrag != length(ranges). This should never happen. ", "Please report.") if (nfrag == 0L) { ## Cannot blindly subset by FALSE because it doesn't work on a ## zero-length Rle. if (length(seqnames) != 0L) seqnames <- seqnames[FALSE] if (length(strand) != 0L) strand <- strand[FALSE] } else { if (length(seqnames) != length(nfrag_per_feature) || length(strand) != length(nfrag_per_feature)) stop("length of 'seqnames' and/or 'strand' is incompatible ", "with fragmentStarts/Ends/Widths") seqnames <- rep.int(seqnames, nfrag_per_feature) strand <- rep.int(strand, nfrag_per_feature) } unlistData <- GRanges(seqnames=seqnames, ranges=ranges, strand=strand) partitioning <- PartitioningByEnd(cumsum(nfrag_per_feature), names=NULL) relist(unlistData, partitioning) } setMethod("updateObject", "GRangesList", function(object, ..., verbose=FALSE) { if (verbose) message("updateObject(object = 'GRangesList')") if (is(try(validObject(object@unlistData, complete=TRUE), silent=TRUE), "try-error")) { object@unlistData <- updateObject(object@unlistData) return(object) } object } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### .GRangesListAsdataframe <- function(x, row.names=NULL, optional=FALSE, ...) { if (missing(row.names)) row.names <- names(x@unlistData) if (is.null(names(x))) element <- rep.int(seq_len(length(x)), elementLengths(x)) else element <- rep.int(names(x), elementLengths(x)) data.frame(element = element, as.data.frame(unlist(x, use.names = FALSE), row.names = row.names), stringsAsFactors = FALSE) } setMethod("as.data.frame", "GRangesList", .GRangesListAsdataframe) .GRangesListAsCompressedIRangesList <- function(from) { ans_ranges <- from@unlistData@ranges ans_ranges@elementMetadata <- from@unlistData@elementMetadata new("CompressedIRangesList", unlistData=ans_ranges, partitioning=from@partitioning, elementMetadata=from@elementMetadata) } setAs("GRangesList", "CompressedIRangesList", .GRangesListAsCompressedIRangesList ) setAs("GRangesList", "IRangesList", .GRangesListAsCompressedIRangesList ) setAs("RangedDataList", "GRangesList", function(from) GRangesList(lapply(from, as, "GRanges"))) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Accessor methods. ### setMethod("seqnames", "GRangesList", function(x) new2("CompressedRleList", unlistData = x@unlistData@seqnames, partitioning = x@partitioning, check=FALSE)) setMethod("ranges", "GRangesList", function(x, ...) new2("CompressedIRangesList", unlistData = x@unlistData@ranges, partitioning = x@partitioning, check=FALSE)) setMethod("strand", "GRangesList", function(x) new2("CompressedRleList", unlistData = x@unlistData@strand, partitioning = x@partitioning, check=FALSE)) .getElementMetadataList <- function(x, use.names=FALSE, level = c("between", "within"), ...) { if (!isTRUEorFALSE(use.names)) stop("'use.names' must be TRUE or FALSE") level <- match.arg(level) if (level == "between") { ans <- x@elementMetadata if (use.names) rownames(ans) <- names(x) } else { elementMetadata <- x@unlistData@elementMetadata if (use.names) rownames(elementMetadata) <- names(x@unlistData) ans <- new2("CompressedSplitDataFrameList", unlistData = elementMetadata, partitioning = x@partitioning, check=FALSE) } ans } setMethod("elementMetadata", "GRangesList", .getElementMetadataList) setMethod("seqinfo", "GRangesList", function(x) seqinfo(x@unlistData)) .replaceSeqnamesList <- function(x, value) { if (!is(value, "AtomicList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not an AtomicList with the same ", "elementLengths as 'x'") value <- unlist(value, use.names = FALSE) if (!is(value, "Rle")) value <- Rle(factor(value)) else if (!is.factor(runValue(value))) runValue(value) <- factor(runValue(value)) seqnames(x@unlistData) <- value x } setReplaceMethod("seqnames", "GRangesList", .replaceSeqnamesList) setReplaceMethod("ranges", "GRangesList", function(x, value) { if (!is(value, "RangesList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not a RangesList with the same ", "elementLengths as 'x'") ranges(x@unlistData) <- as(unlist(value, use.names = FALSE), "IRanges") x } ) .replaceStrandList <- function(x, value) { if (!is(value, "AtomicList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not an AtomicList with the same ", "elementLengths as 'x'") value <- unlist(value, use.names = FALSE) if (!is(value, "Rle")) value <- Rle(strand(value)) else if (!is.factor(runValue(value)) || !identical(levels(runValue(value)), levels(strand()))) runValue(value) <- strand(runValue(value)) strand(x@unlistData) <- value x } setReplaceMethod("strand", "GRangesList", .replaceStrandList) .replaceElementMetadataList <- function(x, level = c("between", "within"), ..., value) { level <- match.arg(level) if (level == "between") { if (is.null(value)) value <- new("DataFrame", nrows = length(x)) else if (!is(value, "DataFrame")) value <- DataFrame(value) if (!is.null(rownames(value))) rownames(value) <- NULL n <- length(x) k <- nrow(value) if (k != n) { if ((k == 0) || (k > n) || (n %% k != 0)) stop(k, " rows in value to replace ", n, "rows") value <- value[rep(seq_len(k), length.out = n), , drop=FALSE] } x@elementMetadata <- value } else { if (is.null(value)) { value <- new("DataFrame", nrows = length(x@unlistData)) } else { if (!is(value, "SplitDataFrameList") || !identical(elementLengths(x), elementLengths(value))) { stop("replacement 'value' is not a SplitDataFrameList with ", "the same elementLengths as 'x'") } value <- unlist(value, use.names = FALSE) } elementMetadata(x@unlistData) <- value } x } setReplaceMethod("elementMetadata", "GRangesList", .replaceElementMetadataList) .replaceSeqinfoList <- function(x, new2old=NULL, force=FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") dangling_seqlevels <- getDanglingSeqlevels(x, new2old=new2old, force=force, seqlevels(value)) if (length(dangling_seqlevels) != 0L) { dropme <- which(seqnames(x@unlistData) %in% dangling_seqlevels) x <- x[-unique(togroup(x, j=dropme))] } seqinfo(x@unlistData, new2old=new2old) <- value x } setReplaceMethod("seqinfo", "GRangesList", .replaceSeqinfoList) setMethod("score", "GRangesList", function(x) { mcols(x)$score }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### RangesList methods. ### setMethod("start", "GRangesList", function(x, ...) new2("CompressedIntegerList", unlistData = start(x@unlistData@ranges), partitioning = x@partitioning, check=FALSE)) setMethod("end", "GRangesList", function(x, ...) new2("CompressedIntegerList", unlistData = end(x@unlistData@ranges), partitioning = x@partitioning, check=FALSE)) setMethod("width", "GRangesList", function(x) new2("CompressedIntegerList", unlistData = width(x@unlistData@ranges), partitioning = x@partitioning, check=FALSE)) setReplaceMethod("start", "GRangesList", function(x, check = TRUE, value) { if (!is(value, "IntegerList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not an IntegerList with the same ", "elementLengths as 'x'") value <- unlist(value, use.names = FALSE) start(ranges(x@unlistData), check = check) <- value x } ) setReplaceMethod("end", "GRangesList", function(x, check = TRUE, value) { if (!is(value, "IntegerList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not an IntegerList with the same ", "elementLengths as 'x'") value <- unlist(value, use.names = FALSE) end(ranges(x@unlistData), check = check) <- value x } ) setReplaceMethod("width", "GRangesList", function(x, check = TRUE, value) { if (!is(value, "IntegerList") || !identical(elementLengths(x), elementLengths(value))) stop("replacement 'value' is not an IntegerList with the same ", "elementLengths as 'x'") value <- unlist(value, use.names = FALSE) width(ranges(x@unlistData), check = check) <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Vector methods. ### .sBracketSubsetGRList <- function(x, i, j, ..., drop) { if (!missing(i)) { x <- callNextMethod(x = x, i = i) } if (!missing(j)) { if (!is.character(j)) stop("'j' must be a character vector") withinLevel <- (j %in% colnames(x@unlistData@elementMetadata)) if (any(withinLevel) && !all(withinLevel)) stop("'j' cannot mix between and within metadata column names") if (any(withinLevel)) { mcols(x, level="within") <- mcols(x, level="within")[, j, drop=FALSE] } else { mcols(x) <- mcols(x)[, j, drop=FALSE] } } x } setMethod("[", "GRangesList", .sBracketSubsetGRList) .sBracketReplaceGRList <- function(x, i, j, ..., value) { if (!is(value, class(x)[1])) stop(paste0("replacement value must be a ", class(x)[1], " object")) if (!missing(i)) i <- IRanges:::extractROWS(setNames(seq_along(x), names(x)), i) if (!missing(j)) { if (!is.character(j)) stop("'j' must be a character vector") withinLevel <- (j %in% colnames(x@unlistData@elementMetadata)) if (any(withinLevel) && !all(withinLevel)) stop("'j' cannot mix between and within metadata column names") if (missing(i)) { if (any(withinLevel)) { mcols(x, level="within")[, j] <- mcols(x, level="within") } else { mcols(x)[, j] <- mcols(x) } } else { if (any(withinLevel)) { mcols(x, level="within")[i, j] <- mcols(x, level="within") } else { mcols(x)[i, j] <- mcols(x) } } } callNextMethod(x = x, i = i, value = value) } setReplaceMethod("[", "GRangesList", .sBracketReplaceGRList) .dBracketReplaceGRList <- function(x, i, j, ..., value) { nameValue <- if (is.character(i)) i else "" i <- IRanges:::normargSubset2_iOnly(x, i, j, ..., .conditionPrefix=paste0("[[<-,", class(x)[1], "-method: ")) len <- length(x) if (i > len) { value <- list(value) if (nzchar(nameValue)) names(value) <- nameValue x <- c(x, do.call(getFunction(class(x)), value)) } else { x <- callNextMethod(x, i, ..., value=value) } validObject(x) x } setReplaceMethod("[[", "GRangesList", .dBracketReplaceGRList) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### show method. ### setMethod("show", "GRangesList", function(object) .showList(object, showGenomicRanges, TRUE) ) .showList <- function(object, showFunction, with.classinfo, ...) { k <- length(object) cumsumN <- cumsum(elementLengths(object)) N <- tail(cumsumN, 1) cat(class(object), " of length ", k, ":\n", sep = "") if (k == 0L) { cat("<0 elements>\n\n") } else if ((k == 1L) || ((k <= 3L) && (N <= 20L))) { nms <- names(object) defnms <- paste0("[[", seq_len(k), "]]") if (is.null(nms)) { nms <- defnms } else { empty <- nchar(nms) == 0L nms[empty] <- defnms[empty] nms[!empty] <- paste0("$", nms[!empty]) } for (i in seq_len(k)) { cat(nms[i], "\n") showFunction(object[[i]], margin=" ", with.classinfo=with.classinfo) if (with.classinfo) with.classinfo <- FALSE cat("\n") } } else { sketch <- function(x) c(head(x, 3), "...", tail(x, 3)) if (k >= 3 && cumsumN[3L] <= 20) showK <- 3 else if (k >= 2 && cumsumN[2L] <= 20) showK <- 2 else showK <- 1 diffK <- k - showK nms <- names(object)[seq_len(showK)] defnms <- paste0("[[", seq_len(showK), "]]") if (is.null(nms)) { nms <- defnms } else { empty <- nchar(nms) == 0L nms[empty] <- defnms[empty] nms[!empty] <- paste0("$", nms[!empty]) } for (i in seq_len(showK)) { cat(nms[i], "\n") showFunction(object[[i]], margin=" ", with.classinfo=with.classinfo) if (with.classinfo) with.classinfo <- FALSE cat("\n") } if (diffK > 0) { cat("...\n<", k - showK, ifelse(diffK == 1, " more element>\n", " more elements>\n"), sep="") } } cat("---\n") showSeqlengths(object) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Deconstruction/reconstruction of a GRangesList into/from a GRanges ### object. ### ### For internal use only (not exported). ### ### Unlist GRangesList object 'x' into a GRanges object but the differences ### with the "unlist" method for GRangesList objects are: ### - The sequence names of the returned GRanges object are modified by ### embedding the "grouping by top-level element" information in them. ### - The seqinfo is modified accordingly. deconstructGRLintoGR <- function(x, expand.levels=FALSE) { ans <- x@unlistData f1 <- rep.int(seq_len(length(x)), elementLengths(x)) f2 <- as.integer(seqnames(ans)) f12 <- paste(f1, f2, sep="|") ## Compute 'ans_seqinfo'. if (expand.levels) { x_nlev <- length(seqlevels(x)) i1 <- rep(seq_len(length(x)), each=x_nlev) i2 <- rep.int(seq_len(x_nlev), length(x)) } else { oo <- IRanges:::orderIntegerPairs(f1, f2) of1 <- f1[oo] of2 <- f2[oo] ## TODO: Add "presorted" method to IRanges:::duplicatedIntegerPairs() ## for when the 2 input vectors are already sorted. notdups <- !IRanges:::duplicatedIntegerPairs(of1, of2) i1 <- of1[notdups] i2 <- of2[notdups] } x_seqinfo <- seqinfo(x) ans_seqlevels <- paste(i1, i2, sep="|") ans_seqlengths <- unname(seqlengths(x_seqinfo))[i2] ans_isCircular <- unname(isCircular(x_seqinfo))[i2] ans_seqinfo <- Seqinfo(ans_seqlevels, ans_seqlengths, ans_isCircular) ## The 2 following modifications must be seen as a single atomic ## operation since doing the 1st without doing the 2nd would leave 'ans' ## in a broken state. ans@seqnames <- Rle(factor(f12, ans_seqlevels)) ans@seqinfo <- ans_seqinfo ans } ### The "inverse" transform of deconstructGRLintoGR(). ### More precisely, reconstructGRLfromGR() transforms GRanges object 'gr' ### with sequence names in the "f1|f2" format (as produced by ### deconstructGRLintoGR() above) back into a GRangesList object with the ### same length & names & metadata columns & seqinfo as 'x'. ### The fundamental property of this deconstruction/reconstruction mechanism ### is that, for any GRangesList object 'x': ### ### reconstructGRLfromGR(deconstructGRLintoGR(x), x) is identical to x ### reconstructGRLfromGR <- function(gr, x) { snames <- strsplit(as.character(seqnames(gr)), "|", fixed=TRUE) m12 <- matrix(as.integer(unlist(snames)), ncol=2, byrow=TRUE) ## Restore the real sequence names. f2 <- m12[ , 2L] x_seqlevels <- seqlevels(x) ## The 2 following modifications must be seen as a single atomic ## operation since doing the 1st without doing the 2nd would leave 'ans' ## in a broken state. gr@seqnames <- Rle(factor(x_seqlevels[f2], x_seqlevels)) gr@seqinfo <- seqinfo(x) ## Split. f1 <- m12[ , 1L] ans <- split(gr, factor(f1, levels=seq_len(length(x)))) names(ans) <- names(x) metadata(ans) <- metadata(x) mcols(ans) <- mcols(x) ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "map" methods. ### .listCumsum <- function(x) { x_unlisted <- unlist(x, use.names=FALSE) x_cumsum <- cumsum(x_unlisted) x_part <- PartitioningByWidth(elementLengths(x)) x_cumsum - rep(x_cumsum[start(x_part)] - x_unlisted[start(x_part)], width(x_part)) } .listCumsumShifted <- function(x) { cs <- .listCumsum(x) shifted <- c(0L, head(cs, -1)) shifted[start(PartitioningByWidth(elementLengths(x)))] <- 0L shifted } .orderElementsByTranscription <- function(x) { gr <- unlist(x, use.names = FALSE) gr <- gr[order(togroup(x), start(gr))] part <- PartitioningByWidth(x) neg <- strand(gr)[start(part)] == "-" ord <- IRanges:::mseq(ifelse(neg, end(part), start(part)), ifelse(neg, start(part), end(part))) relist(gr[ord], x) } setMethod("map", c("GenomicRanges", "GRangesList"), function(from, to) { ## make sure 'to' is properly sorted by strand to <- .orderElementsByTranscription(to) ## find overlaps gr <- unlist(to, use.names=FALSE) ol <- findOverlaps(from, gr, type = "within") shits <- subjectHits(ol) qhits <- queryHits(ol) local <- ranges(from)[qhits] bounds <- ranges(gr)[shits] ## location wrt start of coding region neg <- as.vector(strand(gr)[shits] == "-") local[!neg] <- shift(local[!neg], - start(bounds)[!neg]) local[neg] <- IRanges(end(bounds)[neg] - end(local)[neg], width = width(local)[neg]) ## location wrt transcript cumsums <- .listCumsumShifted(width(to)) local <- shift(local, 1L + cumsums[shits]) toInd <- togroup(to)[shits] matching <- new("Hits", queryHits = qhits, subjectHits = toInd, queryLength = length(from), subjectLength = length(to)) space <- names(to)[toInd] if (is.null(space)) space <- as.character(seq_len(length(to))[subjectHits(ol)]) new("RangesMapping", hits = matching, ranges = local, space = Rle(space)) }) GenomicRanges/R/GenomicRanges-class.R0000644000126300012640000006366612227070333021046 0ustar00biocbuildphs_compbio### ========================================================================= ### The GenomicRanges interface ### ------------------------------------------------------------------------- ### ### TODO: The 'constraint' slot could be moved to the Vector class (or to the ### Annotated class) so any Vector object could be constrained. setClass("GenomicRanges", contains="Vector", representation( "VIRTUAL"#, #No more constraint slot for now... #constraint="ConstraintORNULL" ) ) setClassUnion("GenomicRangesORmissing", c("GenomicRanges", "missing")) ### The code in this file will work out-of-the-box on 'x' as long as ### seqnames(x), ranges(x), strand(x), seqlengths(x), seqinfo(), ### update(x) and clone(x) are defined. ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### 2 non-exported low-level helper functions. ### ### For the 2 functions below, 'x' must be a GenomicRanges object. ### They both return a named integer vector where the names are guaranteed ### to be 'seqlevels(x)'. ### minStartPerGRangesSequence <- function(x) { cil <- splitAsList(start(x), seqnames(x)) # CompressedIntegerList object v <- Views(cil@unlistData, cil@partitioning) # XIntegerViews object ans <- viewMins(v) ans[width(v) == 0L] <- NA_integer_ names(ans) <- names(v) ans } maxEndPerGRangesSequence <- function(x) { cil <- splitAsList(end(x), seqnames(x)) # CompressedIntegerList object v <- Views(cil@unlistData, cil@partitioning) # XIntegerViews object ans <- viewMaxs(v) ans[width(v) == 0L] <- NA_integer_ names(ans) <- names(v) ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Getters. ### setMethod("length", "GenomicRanges", function(x) length(seqnames(x))) setMethod("names", "GenomicRanges", function(x) names(ranges(x))) #setMethod("constraint", "GenomicRanges", function(x) x@constraint) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Extra column slots (implemented by subclasses) ### extraColumnSlots <- function(x) { sapply(extraColumnSlotNames(x), slot, object = x, simplify = FALSE) } extraColumnSlotsAsDF <- function(x) { ## low-level fast path; otherwise, would need to wrap some things with I() new("DataFrame", listData = extraColumnSlots(x), nrows = length(x)) } setGeneric("extraColumnSlotNames", function(x) standardGeneric("extraColumnSlotNames")) setMethod("extraColumnSlotNames", "ANY", function(x) character()) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### ### TODO: Should we enforce ranges(x) to be an IRanges *instance* (i.e. ### class(ranges(x) == "IRanges")) instead of just an IRanges *object* (i.e. ### is(ranges(x), "IRanges"))? Right now I can create a GRanges object where ### the ranges are a Views object on a very long DNAString subject with ### something like 'GRanges("chr1", Views(subject, start=1:2, end=5))'. ### Sounds cool but there are also some potential complications with this... .valid.GenomicRanges.length <- function(x) { x_len <- length(x) checkCoreGetterReturnedLength <- function(getter) { if (NROW(get(getter)(x)) != x_len) paste0("NROW(", getter, "(x)) != length(x)") } pbs1 <- unlist(lapply(c("seqnames", "ranges", "strand", "mcols"), checkCoreGetterReturnedLength)) checkExtraColumnLength <- function(slotname) { if (NROW(slot(x, slotname)) != x_len) paste0("NROW(x@", slotname, ") != length(x)") } pbs2 <- unlist(lapply(extraColumnSlotNames(x), checkExtraColumnLength)) c(pbs1, pbs2) } .valid.GenomicRanges.seqnames <- function(x) { if (!is.factor(runValue(seqnames(x)))) return("'seqnames' should be a 'factor' Rle") if (IRanges:::anyMissing(runValue(seqnames(x)))) return("'seqnames' contains missing values") NULL } .valid.GenomicRanges.ranges <- function(x) { if (class(ranges(x)) != "IRanges") return("'ranges(x)' must be an IRanges instance") NULL } .valid.GenomicRanges.strand <- function(x) { if (!is.factor(runValue(strand(x))) || !identical(levels(runValue(strand(x))), levels(strand()))) { msg <- c("'strand' should be a 'factor' Rle with levels c(", paste0('"', levels(strand()), '"', collapse=", "), ")") return(paste(msg, collapse="")) } if (IRanges:::anyMissing(runValue(strand(x)))) return("'strand' contains missing values") NULL } ### NOTE: This list is also included in the man page for GRanges objects. ### Keep the 2 lists in sync! ### We don't put "genome" in that list in order to facilitate import of GFF3 ### files as GRanges objects (see ?import.gff3 in rtracklayer). INVALID.GR.COLNAMES <- c("seqnames", "ranges", "strand", "seqlevels", "seqlengths", "isCircular", #"genome", "start", "end", "width", "element") .valid.GenomicRanges.mcols <- function(x) { if (any(INVALID.GR.COLNAMES %in% colnames(mcols(x)))) { msg <- c("names of metadata columns cannot be one of ", paste0("\"", INVALID.GR.COLNAMES, "\"", collapse=", ")) return(paste(msg, collapse=" ")) } NULL } ### Also used by the validity method for GAlignments objects. valid.GenomicRanges.seqinfo <- function(x) { x_seqinfo <- seqinfo(x) if (!identical(seqlevels(x_seqinfo), levels(seqnames(x)))) { msg <- c("'seqlevels(seqinfo(x))' and 'levels(seqnames(x))'", "are not identical") return(paste(msg, collapse=" ")) } x_seqlengths <- seqlengths(x_seqinfo) seqs_with_known_length <- names(x_seqlengths)[!is.na(x_seqlengths)] if (length(seqs_with_known_length) == 0L) return(NULL) if (any(x_seqlengths < 0L, na.rm=TRUE)) return("'seqlengths(x)' contains negative values") ## We check only the ranges that are on a non-circular sequence with ## a known length. x_isCircular <- isCircular(x_seqinfo) non_circ_seqs <- names(x_isCircular)[!(x_isCircular %in% TRUE)] ncswkl <- intersect(non_circ_seqs, seqs_with_known_length) if (length(ncswkl) == 0L) return(NULL) x_seqnames <- seqnames(x) runValue(x_seqnames) <- runValue(x_seqnames)[drop=TRUE] minStarts <- minStartPerGRangesSequence(x) maxEnds <- maxEndPerGRangesSequence(x) if (any(minStarts[ncswkl] < 1L, na.rm=TRUE) || any(maxEnds[ncswkl] > seqlengths(x)[ncswkl], na.rm=TRUE)) warning("'ranges' contains values outside of sequence bounds. ", "See ?trim to subset ranges.") NULL } ## For convenience, validate the extra column slots that are virtual ## classes. Since they are not directly constructed, any validity ## checks specific to the virtual class have probably not been called. .valid.GenomicRanges.ecs <- function(x) { virtuals <- Filter(isVirtualClass, getSlots(class(x))[extraColumnSlotNames(x)]) unlist(lapply(names(virtuals), function(nm) validObject(slot(x, nm)))) } .valid.GenomicRanges <- function(x) { c(.valid.GenomicRanges.length(x), .valid.GenomicRanges.seqnames(x), .valid.GenomicRanges.ranges(x), .valid.GenomicRanges.strand(x), .valid.GenomicRanges.mcols(x), valid.GenomicRanges.seqinfo(x), .valid.GenomicRanges.ecs(x)) #checkConstraint(x, constraint(x))) } setValidity2("GenomicRanges", .valid.GenomicRanges) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setAs("GenomicRanges", "RangedData", function(from) { mcols <- mcols(from) ecs <- extraColumnSlotsAsDF(from) if (length(ecs)) mcols <- cbind(mcols, ecs) rd <- RangedData(ranges(from), strand=strand(from), mcols, space=seqnames(from)) mcols(ranges(rd)) <- DataFrame(seqlengths=seqlengths(from), isCircular=isCircular(from), genome=genome(from)) metadata(ranges(rd)) <- metadata(from) metadata(ranges(rd))$seqinfo <- seqinfo(from) rd } ) setAs("GenomicRanges", "RangesList", function(from) { strand_mcols <- DataFrame(strand=strand(from), mcols(from)) ecs <- extraColumnSlotsAsDF(from) if (length(ecs)) strand_mcols <- cbind(strand_mcols, ecs) rngs <- ranges(from) mcols(rngs) <- strand_mcols rl <- split(rngs, seqnames(from)) mcols(rl) <- DataFrame(seqlengths=seqlengths(from), isCircular=isCircular(from), genome=genome(from)) metadata(rl) <- metadata(from) metadata(rl)$seqinfo <- seqinfo(from) rl } ) setMethod("as.data.frame", "GenomicRanges", function(x, row.names=NULL, optional=FALSE, ...) { ranges <- ranges(x) if (missing(row.names)) row.names <- names(x) if (!is.null(names(x))) names(x) <- NULL mcols_df <- as.data.frame(mcols(x), ...) if (length(extraColumnSlotNames(x)) > 0L) mcols_df <- cbind(as.data.frame(extraColumnSlotsAsDF(x), ...), mcols_df) data.frame(seqnames=as.factor(seqnames(x)), start=start(x), end=end(x), width=width(x), strand=as.factor(strand(x)), mcols_df, row.names=row.names, stringsAsFactors=FALSE) } ) .fromSeqinfoToGRanges <- function(from) { if (any(is.na(seqlengths(from)))) stop("cannot create a GenomicRanges from a Seqinfo ", "with NA seqlengths") GRanges(seqnames(from), IRanges(rep(1L, length(from)), width=seqlengths(from), names=seqnames(from)), seqinfo=from) } setAs("Seqinfo", "GenomicRanges", .fromSeqinfoToGRanges) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Setters. ### setReplaceMethod("names", "GenomicRanges", function(x, value) { names(ranges(x)) <- value x } ) setReplaceMethod("seqnames", "GenomicRanges", function(x, value) { if (!is(value, "Rle")) value <- Rle(value) if (!is.factor(runValue(value))) runValue(value) <- factor(runValue(value)) if (!identical(levels(value), seqlevels(x))) stop("levels of supplied 'seqnames' must be ", "identical to 'seqlevels(x)'") n <- length(x) k <- length(value) if (k != n) { if ((k == 0L) || (k > n) || (n %% k != 0L)) stop(k, " elements in value to replace ", n, " elements") value <- rep(value, length.out=n) } update(x, seqnames=value) } ) setReplaceMethod("ranges", "GenomicRanges", function(x, value) { if (!is(value, "IRanges")) value <- as(value, "IRanges") n <- length(x) k <- length(value) if (k != n) { if ((k == 0L) || (k > n) || (n %% k != 0L)) stop(k, " elements in value to replace ", n, "elements") value <- rep(value, length.out=n) } update(x, ranges=value, check=FALSE) } ) normargGenomicRangesStrand <- function(strand, n) { if (!is(strand, "Rle")) strand <- Rle(strand) if (!is.factor(runValue(strand)) || !identical(levels(runValue(strand)), levels(strand()))) runValue(strand) <- strand(runValue(strand)) k <- length(strand) if (k != n) { if (k != 1L && (k == 0L || k > n || n %% k != 0L)) stop("supplied 'strand' has ", k, " elements (", n, " expected)") strand <- rep(strand, length.out=n) } strand } setReplaceMethod("strand", "GenomicRanges", function(x, value) { value <- normargGenomicRangesStrand(value, length(x)) x <- update(x, strand=value, check=FALSE) msg <- .valid.GenomicRanges.strand(x) if (!is.null(msg)) stop(msg) x } ) setReplaceMethod("elementMetadata", "GenomicRanges", function(x, ..., value) { value <- normalizeMetadataColumnsReplacementValue(value, x) x <- update(x, elementMetadata=value, check=FALSE) msg <- .valid.GenomicRanges.mcols(x) if (!is.null(msg)) stop(msg) x } ) setReplaceMethod("seqinfo", "GenomicRanges", function(x, new2old=NULL, force=FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") dangling_seqlevels <- getDanglingSeqlevels(x, new2old=new2old, force=force, seqlevels(value)) if (length(dangling_seqlevels) != 0L) x <- x[!(seqnames(x) %in% dangling_seqlevels)] old_seqinfo <- seqinfo(x) new_seqnames <- makeNewSeqnames(x, new2old=new2old, seqlevels(value)) x <- update(x, seqnames=new_seqnames, seqinfo=value, check=FALSE) geom_has_changed <- sequenceGeometryHasChanged(seqinfo(x), old_seqinfo, new2old=new2old) if (any(geom_has_changed, na.rm=TRUE)) { msg <- valid.GenomicRanges.seqinfo(x) if (!is.null(msg)) stop(msg) } x } ) setMethod("score", "GenomicRanges", function(x) mcols(x)$score) #setReplaceMethod("constraint", "GenomicRanges", # function(x, value) # { # if (isSingleString(value)) # value <- new(value) # if (!is(value, "ConstraintORNULL")) # stop("the supplied 'constraint' must be a ", # "Constraint object, a single string, or NULL") # x@constraint <- value # validObject(x) # x # } #) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Updating and cloning. ### ### An object is either 'update'd in place (usually with a replacement ### method) or 'clone'd (copied), with specified slots/fields overridden. ### For an object with a pure S4 slot representation, these both map to ### initialize. Reference classes will want to override 'update'. Other ### external representations need further customization. setGeneric("clone", function(x, ...) standardGeneric("clone")) # not exported setMethod("clone", "ANY", # not exported function(x, ...) { if (nargs() > 1L) update(x, ...) else x } ) setMethod("update", "GenomicRanges", function(object, ...) { BiocGenerics:::updateS4(object, ...) }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Ranges methods. ### setMethod("start", "GenomicRanges", function(x, ...) start(ranges(x))) setMethod("end", "GenomicRanges", function(x, ...) end(ranges(x))) setMethod("width", "GenomicRanges", function(x) width(ranges(x))) setReplaceMethod("start", "GenomicRanges", function(x, check=TRUE, value) { if (!is.integer(value)) value <- as.integer(value) ranges <- ranges(x) starts <- start(ranges) starts[] <- value ## TODO: Revisit this to handle circularity (maybe). if (!IRanges:::anyMissing(seqlengths(x))) { if (IRanges:::anyMissingOrOutside(starts, 1L)) { warning("trimmed start values to be positive") starts[starts < 1L] <- 1L } } start(ranges, check=check) <- starts update(x, ranges=ranges, check=FALSE) } ) setReplaceMethod("end", "GenomicRanges", function(x, check=TRUE, value) { if (!is.integer(value)) value <- as.integer(value) ranges <- ranges(x) ends <- end(ranges) ends[] <- value seqlengths <- seqlengths(x) ## TODO: Revisit this to handle circularity. if (!IRanges:::anyMissing(seqlengths)) { seqlengths <- seqlengths[seqlevels(x)] maxEnds <- seqlengths[as.integer(seqnames(x))] trim <- which(ends > maxEnds) if (length(trim) > 0L) { warning("trimmed end values to be <= seqlengths") ends[trim] <- maxEnds[trim] } } end(ranges, check=check) <- ends update(x, ranges=ranges, check=FALSE) } ) setReplaceMethod("width", "GenomicRanges", function(x, check=TRUE, value) { if (!is.integer(value)) value <- as.integer(value) if (!IRanges:::anyMissing(seqlengths(x))) { end(x) <- start(x) + (value - 1L) } else { ranges <- ranges(x) width(ranges, check=check) <- value x <- update(x, ranges=ranges, check=FALSE) } x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting and combining. ### setMethod(IRanges:::extractROWS, "GenomicRanges", function(x, i) { if (missing(i) || !is(i, "Ranges")) i <- IRanges:::normalizeSingleBracketSubscript(i, x) ans_seqnames <- IRanges:::extractROWS(seqnames(x), i) ans_ranges <- IRanges:::extractROWS(ranges(x), i) ans_strand <- IRanges:::extractROWS(strand(x), i) ans_mcols <- IRanges:::extractROWS(mcols(x), i) ans_ecs <- lapply(extraColumnSlots(x), IRanges:::extractROWS, i) clone(x, seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, elementMetadata=ans_mcols, .slotList=ans_ecs) } ) ### Needed only because we want to support x[i, j] subsetting. setMethod("[", "GenomicRanges", function(x, i, j, ..., drop) { if (length(list(...)) > 0L) stop("invalid subsetting") ans <- IRanges:::extractROWS(x, i) if (missing(j)) return(ans) ans_mcols <- mcols(ans)[ , j, drop=FALSE] clone(ans, elementMetadata=ans_mcols) } ) setMethod(IRanges:::replaceROWS, "GenomicRanges", function(x, i, value) { if (missing(i) || !is(i, "Ranges")) i <- IRanges:::normalizeSingleBracketSubscript(i, x) seqinfo(x) <- merge(seqinfo(x), seqinfo(value)) ans_seqnames <- IRanges:::replaceROWS(seqnames(x), i, seqnames(value)) ans_ranges <- IRanges:::replaceROWS(ranges(x), i, ranges(value)) ans_strand <- IRanges:::replaceROWS(strand(x), i, strand(value)) ans_mcols <- IRanges:::replaceROWS(mcols(x), i, mcols(value)) ans_ecs_names <- extraColumnSlotNames(x) ans_necs <- length(ans_ecs_names) if (ans_necs == 0L) { ans_ecs <- NULL } else { value_ecs_names <- extraColumnSlotNames(value) if (!identical(value_ecs_names[seq_len(ans_necs)], ans_ecs_names)) stop("'value' can have more extra column slots but not less") ans_ecs <- extraColumnSlotsAsDF(x) value_ecs <- extraColumnSlotsAsDF(value) ans_ecs <- IRanges:::replaceROWS(ans_ecs, i, value_ecs[seq_len(ans_necs)]) } update(x, seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, elementMetadata=ans_mcols, .slotList=as.list(ans_ecs)) } ) setReplaceMethod("[", "GenomicRanges", function(x, i, j, ..., value) { if (!is(value, "GenomicRanges")) stop("replacement value must be a GenomicRanges object") seqinfo(x) <- merge(seqinfo(x), seqinfo(value)) seqnames <- seqnames(x) ranges <- ranges(x) strand <- strand(x) ans_mcols <- mcols(x, FALSE) value_ecs <- extraColumnSlotsAsDF(value) x_ecs <- extraColumnSlotsAsDF(x) new_ecs <- value_ecs[!names(value_ecs) %in% names(x_ecs)] ecs_to_replace <- intersect(names(value_ecs), names(x_ecs)) if (missing(i)) { seqnames[] <- seqnames(value) ranges[] <- ranges(value) strand[] <- strand(value) if (missing(j)) ans_mcols[ , ] <- mcols(value, FALSE) else ans_mcols[ , j] <- mcols(value, FALSE) if (length(new_ecs) > 0L) ans_mcols[names(new_ecs)] <- new_ecs x_ecs[ecs_to_replace] <- value_ecs[ecs_to_replace] } else { i <- IRanges:::extractROWS(setNames(seq_along(x), names(x)), i) seqnames[i] <- seqnames(value) ranges[i] <- ranges(value) strand[i] <- strand(value) if (missing(j)) ans_mcols[i, ] <- mcols(value, FALSE) else ans_mcols[i, j] <- mcols(value, FALSE) if (length(new_ecs) > 0L) ans_mcols[i, names(new_ecs)] <- DataFrame(new_ecs) if (length(ecs_to_replace) > 0L) { x_ecs[i, ecs_to_replace] <- value_ecs[ecs_to_replace] } } update(x, seqnames=seqnames, ranges=ranges, strand=strand, elementMetadata=ans_mcols, .slotList=as.list(x_ecs)) } ) ### Not exported. 'x' *must* be an unnamed list of length >= 1 (not checked). .unlist_list_of_GenomicRanges <- function(x, ignore.mcols=FALSE) { if (!isTRUEorFALSE(ignore.mcols)) stop("'ignore.mcols' must be TRUE or FALSE") ans_class <- class(x[[1L]]) ans_seqinfo <- do.call(merge, lapply(x, seqinfo)) ans_seqnames <- do.call(c, lapply(x, seqnames)) ans_ranges <- do.call(c, lapply(x, ranges)) ans_strand <- do.call(c, lapply(x, strand)) if (ignore.mcols) { ans_mcols <- new("DataFrame", nrows=length(ans_ranges)) } else { ans_mcols <- do.call(rbind, lapply(x, mcols, FALSE)) } if (length(extraColumnSlotNames(x[[1L]])) > 0L) { ans_ecs <- do.call(rbind, lapply(x, extraColumnSlotsAsDF)) do.call(new, c(list(ans_class, seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, elementMetadata=ans_mcols, seqinfo=ans_seqinfo), as.list(ans_ecs))) } else { new(ans_class, seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, elementMetadata=ans_mcols, seqinfo=ans_seqinfo) } } setMethod("c", "GenomicRanges", function(x, ..., ignore.mcols=FALSE, recursive=FALSE) { if (!identical(recursive, FALSE)) stop("'recursive' argument not supported") if (missing(x)) args <- unname(list(...)) else args <- unname(list(x, ...)) .unlist_list_of_GenomicRanges(args, ignore.mcols=ignore.mcols) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### $ and $<- methods ### ### Provided as a convenience, for GenomicRanges *only*, and as the result ### of strong popular demand. ### Note that those methods are not consistent with the other $ and $<- ### methods in the IRanges/GenomicRanges infrastructure, and might confuse ### some users by making them believe that a GenomicRanges object can be ### manipulated as a data.frame-like object. ### Therefore we recommend using them only interactively, and we discourage ### their use in scripts or packages. For the latter, use 'mcols(x)$name' ### instead of 'x$name'. ### .DollarNames.GenomicRanges <- function(x, pattern) grep(pattern, names(mcols(x)), value=TRUE) setMethod("$", "GenomicRanges", function(x, name) mcols(x)[[name]] ) setReplaceMethod("$", "GenomicRanges", function(x, name, value) {mcols(x)[[name]] <- value; x} ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "show" method. ### .makeNakedMatFromGenomicRanges <- function(x) { lx <- length(x) nc <- ncol(mcols(x)) ans <- cbind(seqnames=as.character(seqnames(x)), ranges=IRanges:::showAsCell(ranges(x)), strand=as.character(strand(x))) extraColumnNames <- extraColumnSlotNames(x) if (length(extraColumnNames) > 0L) { ans <- do.call(cbind, c(list(ans), lapply(extraColumnSlots(x), showAsCell))) } if (nc > 0L) { tmp <- do.call(data.frame, c(lapply(mcols(x), IRanges:::showAsCell), list(check.names=FALSE))) ans <- cbind(ans, `|`=rep.int("|", lx), as.matrix(tmp)) } ans } showGenomicRanges <- function(x, margin="", with.classinfo=FALSE, print.seqlengths=FALSE) { lx <- length(x) nc <- ncol(mcols(x)) cat(class(x), " with ", lx, " ", ifelse(lx == 1L, "range", "ranges"), " and ", nc, " metadata ", ifelse(nc == 1L, "column", "columns"), ":\n", sep="") out <- IRanges:::makePrettyMatrixForCompactPrinting(x, .makeNakedMatFromGenomicRanges) if (with.classinfo) { .COL2CLASS <- c( seqnames="Rle", ranges="IRanges", strand="Rle" ) extraColumnNames <- extraColumnSlotNames(x) .COL2CLASS <- c(.COL2CLASS, getSlots(class(x))[extraColumnNames]) classinfo <- makeClassinfoRowForCompactPrinting(x, .COL2CLASS) ## A sanity check, but this should never happen! stopifnot(identical(colnames(classinfo), colnames(out))) out <- rbind(classinfo, out) } if (nrow(out) != 0L) rownames(out) <- paste0(margin, rownames(out)) print(out, quote=FALSE, right=TRUE) if (print.seqlengths) { cat(margin, "---\n", sep="") showSeqlengths(x, margin=margin) } } setMethod("show", "GenomicRanges", function(object) showGenomicRanges(object, margin=" ", with.classinfo=TRUE, print.seqlengths=TRUE) ) setMethod("showAsCell", "GenomicRanges", function(object) { if (length(object) > 0L) { paste0(seqnames(object), ":", strand(object), ":", showAsCell(ranges(object))) } else character(0) }) GenomicRanges/R/GenomicRanges-comparison.R0000644000126300012640000003132112227070333022072 0ustar00biocbuildphs_compbio### ========================================================================= ### Comparing and ordering genomic ranges ### ------------------------------------------------------------------------- ### ### I. UNIQUE AND DUPLICATED ELEMENTS WITHIN A GenomicRanges OBJECT ### --------------------------------------------------------------- ### Two elements of a GenomicRanges object (i.e. two genomic ranges) are ### considered equal iff they are on the same underlying sequence and strand, ### and have the same start and width. duplicated() and unique() on a ### GenomicRanges object are conforming to this. ### ### II. ORDERING THE ELEMENTS OF A GenomicRanges OBJECT ### --------------------------------------------------- ### The "natural order" for the elements of a GenomicRanges object is to order ### them (a) first by sequence level, (b) then by strand, (c) then by start, ### (d) and finally by width. ### This way, the space of genomic ranges is totally ordered. ### Note that the "reduce" method for GenomicRanges uses this "natural order" ### implicitly. Also, note that, because we already do (c) and (d) for regular ### ranges, genomic ranges that belong to the same underlying sequence ### and strand are ordered like regular ranges. ### order(), sort(), and rank() on a GenomicRanges object are using this ### "natural order". ### ### III. ELEMENT-WISE (AKA "PARALLEL") COMPARISON OF 2 GenomicRanges OBJECTS ### ------------------------------------------------------------------------ ### We want the "==", "!=", "<=", ">=", "<" and ">" operators between 2 ### GenomicRanges objects to be compatible with the "natural order" defined ### previously. Defining those operators when the 2 objects have *identical* ### seqlevels() is straighforward but we can in fact extend this comparison ### to the following situation: ### (A) 'e1' and 'e2' have compatible sets of underlying sequences, that is, ### 'seqinfo(e1)' and 'seqinfo(e2)' can be merged. ### (B) 'seqlevels(e1)' and 'seqlevels(e2)' are in the same order. Note that ### (A) guarantees that the seqlevels of one is a subset of the seqlevels ### of the other. (B) is saying that this subset should be a subsequence. ### Pre-comparison step: if (A) and (B) are satisfied, then the 2 seqinfo() are ### merged and the seqlevels() of the result is assigned back to each object ### to compare. This is a way to have 2 objects with identical seqlevels() ### before the comparison can actually be performed and meaningful. ### The reason (B) is required for the pre-comparison step is because we want ### this step to preserve the original order of the seqlevels() in *both* ### objects. Without this precaution, the expected anti-symetric property of ### some operators would not be satisfied e.g. 'any(e1 < e2 & e2 < e1)' could ### be TRUE. ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### compare() ### ### Doing 'compare(x, y)' on 2 vector-like objects 'x' and 'y' of length 1 ### must return an integer less than, equal to, or greater than zero if the ### single element in 'x' is considered to be respectively less than, equal ### to, or greater than the single element in 'y'. ### ### On 2 GenomicRanges objects, it returns one of the 13 predefined codes ### (>= -6 and <= 6) used by the method for Ranges objects when 'x[i]' and ### 'y[i]' are on the same space (i.e. on the same underlying sequence and ### strand). Otherwise, it returns a code that is < -6 if 'x[i] < y[i]', ### and > 6 if 'x[i] > y[i]'. ### See '?compare' (in IRanges) for the 13 predefined codes. .GenomicRanges.compare <- function(x, y) { ## Pre-comparison step (see above for details). ## merge() will fail if 'x' and 'y' don't have compatible underlying ## sequences. seqinfo <- merge(seqinfo(x), seqinfo(y)) seqlevels <- seqlevels(seqinfo) if (any(diff(match(seqlevels(y), seqlevels)) < 0L)) stop("the 2 objects to compare have seqlevels in incompatible orders") ## This should only insert new seqlevels in the existing ones i.e. it ## should NEVER drop or reorder existing levels seqlevels(x) <- seqlevels(y) <- seqlevels a <- compare(ranges(x), ranges(y)) b <- as.integer(strand(x)) - as.integer(strand(y)) c <- as.integer(seqnames(x)) - as.integer(seqnames(y)) ## Note that sign() always returns a numeric vector, even on an integer ## vector. a + 13L * as.integer(sign(b) + 3L * sign(c)) } ### The "compare" method. setMethod("compare", c("GenomicRanges", "GenomicRanges"), function(x, y) .GenomicRanges.compare(x, y) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Element-wise (aka "parallel") comparison of 2 GenomicRanges objects. ### ### We only need to implement "==" and "<=" methods. The other comparison ### binary operators (!=, >=, <, >) will then work out-of-the-box on ### GenomicRanges objects thanks to the methods for Vector objects. ### setMethod("==", signature(e1="GenomicRanges", e2="GenomicRanges"), function(e1, e2) { .GenomicRanges.compare(e1, e2) == 0L } ) setMethod("<=", signature(e1="GenomicRanges", e2="GenomicRanges"), function(e1, e2) { .GenomicRanges.compare(e1, e2) <= 0L } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### duplicated() ### ### unique() will work out-of-the-box on a GenomicRanges object thanks to the ### method for Vector objects. ### .duplicated.GenomicRanges <- function(x, incomparables=FALSE, fromLast=FALSE, method=c("auto", "quick", "hash")) { if (!identical(incomparables, FALSE)) stop("\"duplicated\" method for GenomicRanges objects ", "only accepts 'incomparables=FALSE'") IRanges:::duplicatedIntegerQuads(as.factor(seqnames(x)), as.factor(strand(x)), start(x), width(x), fromLast=fromLast, method=method) } ### S3/S4 combo for duplicated.GenomicRanges duplicated.GenomicRanges <- function(x, incomparables=FALSE, ...) .duplicated.GenomicRanges(x, incomparables=incomparables, ...) setMethod("duplicated", "GenomicRanges", .duplicated.GenomicRanges) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### match() ### ### %in% will work out-of-the-box on GenomicRanges objects thanks to the ### method for Vector objects. ### ### TODO: Defunct 'match.if.overlap' arg in BioC 2.14. setMethod("match", c("GenomicRanges", "GenomicRanges"), function(x, table, nomatch=NA_integer_, incomparables=NULL, method=c("auto", "quick", "hash"), ignore.strand=FALSE, match.if.overlap=FALSE) { if (!isSingleNumberOrNA(nomatch)) stop("'nomatch' must be a single number or NA") if (!is.integer(nomatch)) nomatch <- as.integer(nomatch) if (!is.null(incomparables)) stop("\"match\" method for GenomicRanges objects ", "only accepts 'incomparables=NULL'") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (!isTRUEorFALSE(match.if.overlap)) stop("'match.if.overlap' must be TRUE or FALSE") if (match.if.overlap) { msg <- c(" In the near future (starting with BioC 2.14), ", "match() on GRanges objects\n won't support ", "the 'match.if.overlap' argument anymore. Please use\n\n", " findOverlaps(x, table, select=\"first\", ", "ignore.strand=ignore.strand)\n\n", " instead of\n\n", " match(x, table, ignore.strand=ignore.strand, ", "match.if.overlap=TRUE)") .Deprecated(msg=msg) ans <- findOverlaps(x, table, select="first", ignore.strand=ignore.strand) if (!is.na(nomatch) && anyMissing(ans)) ans[is.na(ans)] <- nomatch return(ans) } ## Calling merge() is the way to check that 'x' and 'table' are based ## on the same reference genome. merge(seqinfo(x), seqinfo(table)) x_seqnames <- relevelSeqnamesForMatch(x, table) if (ignore.strand) { x_strand <- integer(length(x)) table_strand <- integer(length(table)) } else { x_strand <- as.factor(strand(x)) table_strand <- as.factor(strand(table)) } ## Equivalent to (but faster than): ## findOverlaps(x, table, type="equal", select="first") ## except when 'x' and 'table' both contain empty ranges. IRanges:::matchIntegerQuads(x_seqnames, x_strand, start(x), width(x), as.factor(seqnames(table)), table_strand, start(table), width(table), nomatch=nomatch, method=method) } ) relevelSeqnamesForMatch <- function(x, table) { x_seqnames <- as.factor(seqnames(x)) if (!hasHead(seqlevels(x), seqlevels(table)) && !hasHead(seqlevels(table), seqlevels(x))) { x_seqnames <- factor(x_seqnames, union(seqlevels(table), seqlevels(x))) } x_seqnames } ### The only reason for overriding the method for Vector objects is to issue ### the warning. ### TODO: Remove this method in BioC 2.14 when the 'match.if.overlap' arg of ### match() is defunct. setMethod("%in%", c("GenomicRanges", "GenomicRanges"), function(x, table) { warning(IRanges:::`%in%.warning.msg`("GenomicRanges")) !is.na(match(x, table)) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### findMatches(), countMatches() ### ### The only reason for defining these methods is to prevent the warnings ### that otherwise would be issued when the user calls findMatches() or ### countMatches() on GenomicRanges objects. ### TODO: Remove these methods in BioC 2.14 when the 'match.if.overlap' arg ### of match() is defunct. setMethod("findMatches", c("GenomicRanges", "GenomicRanges"), function(x, table, select=c("all", "first", "last"), ...) { select <- match.arg(select) if (select != "all") stop("'select' is not supported yet. Note that you can use ", "match() if you want to do 'select=\"first\"'. Otherwise ", "you're welcome to request this on the Bioconductor ", "mailing list.") IRanges:::.findAllMatchesInSmallTable(x, table, match.if.overlap=FALSE, ...) } ) setMethod("countMatches", c("GenomicRanges", "GenomicRanges"), function(x, table, ...) IRanges:::.countMatches.default(x, table, match.if.overlap=FALSE, ...) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### order() and related methods. ### ### The "order" and "rank" methods for GenomicRanges objects are consistent ### with the order implied by compare(). ### sort() will work out-of-the-box on a GenomicRanges object thanks to the ### method for Vector objects. ### setMethod("order", "GenomicRanges", function(..., na.last=TRUE, decreasing=FALSE) { if (!isTRUEorFALSE(decreasing)) stop("'decreasing' must be TRUE or FALSE") ## All arguments in '...' are guaranteed to be GenomicRanges objects. args <- list(...) if (length(args) == 1L) { x <- args[[1L]] return(IRanges:::orderIntegerQuads(as.factor(seqnames(x)), as.factor(strand(x)), start(x), width(x), decreasing=decreasing)) } order_args <- vector("list", 4L*length(args)) idx <- 4L*seq_len(length(args)) order_args[idx - 3L] <- lapply(args, function(x) as.factor(seqnames(x))) order_args[idx - 2L] <- lapply(args, function(x) as.factor(strand(x))) order_args[idx - 1L] <- lapply(args, start) order_args[idx] <- lapply(args, width) do.call(order, c(order_args, list(na.last=na.last, decreasing=decreasing))) } ) setMethod("rank", "GenomicRanges", function(x, na.last=TRUE, ties.method=c("average", "first", "random", "max", "min")) { if (!missing(ties.method) && !identical(ties.method, "first")) stop("only 'ties.method=\"first\"' is supported ", "when ranking genomic ranges") oo <- order(x) ## 'ans' is the reverse permutation of 'oo' ans <- integer(length(oo)) ans[oo] <- seq_len(length(oo)) ans } ) GenomicRanges/R/GenomicRangesList-class.R0000644000126300012640000000263712227070333021671 0ustar00biocbuildphs_compbio### ========================================================================= ### GenomicRangesList objects ### ------------------------------------------------------------------------- ### ### A List of GenomicRanges objects. Subclasses not necessarily have the same ### "compound" semantics as GRangesList. ### setClass("GenomicRangesList", prototype = prototype(elementType = "GenomicRanges"), contains = "List") setClass("SimpleGenomicRangesList", contains = c("GenomicRangesList", "SimpleList")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor. ### GenomicRangesList <- function(...) { args <- list(...) if (length(args) == 1 && is.list(args[[1]])) args <- args[[1]] IRanges:::newList("SimpleGenomicRangesList", args) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setAs("RangedDataList", "GenomicRangesList", function(from) GenomicRangesList(lapply(from, as, "GRanges"))) setAs("GenomicRangesList", "RangedDataList", function(from) RangedDataList(lapply(from, as, "RangedData"))) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Utilities. ### setMethod("stack", "GenomicRangesList", function(x, indName = "sample") { x_flat <- unlist(x, use.names = FALSE) mcols(x_flat) <- cbind(IRanges:::.stack.ind(x, indName), mcols(x_flat)) x_flat }) GenomicRanges/R/RangedData-methods.R0000644000126300012640000000262112227070333020635 0ustar00biocbuildphs_compbio### ========================================================================= ### RangedData/RangesList implementation of the GenomicRanges API ### ------------------------------------------------------------------------- ### ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqinfo ### setMethod("seqinfo", "List", function(x) { si <- metadata(x)$seqinfo if (is.null(si)) { sn <- names(x) if (is.null(sn)) sn <- as.character(seq_len(length(x))) si <- Seqinfo(unique(sn)) } si }) setMethod("seqinfo", "RangesList", function(x) { si <- callNextMethod() if (!is.null(universe(x))) genome(si) <- universe(x) si }) ### FIXME: needs sanity checks setReplaceMethod("seqinfo", "List", function(x, value) { metadata(x)$seqinfo <- value x }) setMethod("seqinfo", "RangedData", function(x) seqinfo(ranges(x))) setReplaceMethod("seqinfo", "RangedData", function(x, value) { seqinfo(ranges(x)) <- value x }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqnames ### setMethod("seqnames", "RangesList", function(x) { if (is.null(names(x))) NULL else seqsplit(Rle(space(x)), rep(names(x), elementLengths(x))) }) setMethod("seqnames", "RangedData", function(x) space(x)) GenomicRanges/R/RangesMapping-methods.R0000644000126300012640000000063212227070333021376 0ustar00biocbuildphs_compbio### ========================================================================= ### RangesMapping methods ### ------------------------------------------------------------------------- ### setMethod("granges", "RangesMapping", function(x) { GRanges(space(x), ranges(x)) }) setAs("RangesMapping", "GenomicRanges", function(from) { gr <- granges(from) mcols(gr) <- DataFrame(as.matrix(hits(from))) gr }) GenomicRanges/R/Seqinfo-class.R0000644000126300012640000005214612227070333017720 0ustar00biocbuildphs_compbio### ========================================================================= ### Seqinfo objects ### ------------------------------------------------------------------------- ### ### A Seqinfo object is a table-like object that contains basic information ### about a set of genomic sequences. The table has 1 row per sequence and ### 1 column per sequence attribute. Currently the only attributes are the ### length, circularity flag, and genome provenance (e.g. hg19) of the ### sequence, but more attributes might be added in the future as the need ### arises. ### setClass("Seqinfo", representation( seqnames="character", seqlengths="integer", is_circular="logical", genome="character" ) ) ### NOTE: Other possible (maybe better) names: GSeqinfo or GenomicSeqinfo ### for Genome/Genomic Sequence info. ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Getters. ### setMethod("seqnames", "Seqinfo", function(x) x@seqnames) setMethod("names", "Seqinfo", function(x) seqnames(x)) setMethod("length", "Seqinfo", function(x) length(seqnames(x))) setMethod("seqlevels", "Seqinfo", function(x) seqnames(x)) setMethod("seqlengths", "Seqinfo", function(x) { ans <- x@seqlengths names(ans) <- seqnames(x) ans } ) setMethod("isCircular", "Seqinfo", function(x) { ans <- x@is_circular names(ans) <- seqnames(x) ans } ) setMethod("genome", "Seqinfo", function(x) { ans <- x@genome names(ans) <- seqnames(x) ans } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### .valid.Seqinfo.seqnames <- function(x_seqnames, what="'seqnames(x)'") { if (!is.character(x_seqnames)) return(paste0(what, " must be a character vector")) if (!is.null(names(x_seqnames))) return(paste0(what, " must be unnamed")) if (any(x_seqnames %in% c(NA, ""))) return(paste0(what, " cannot contain NAs or empty strings (\"\")")) if (anyDuplicated(x_seqnames)) return(paste0(what, " cannot contain duplicated sequence names")) NULL } ### Not really checking the slot itself but the value returned by the ### slot accessor. .valid.Seqinfo.seqlengths <- function(x) { x_seqlengths <- seqlengths(x) if (!is.integer(x_seqlengths) || length(x_seqlengths) != length(x) || !identical(names(x_seqlengths), seqnames(x))) return("'seqlengths(x)' must be an integer vector of the length of 'x' and with names 'seqnames(x)'") if (any(x_seqlengths < 0L, na.rm=TRUE)) return("'seqlengths(x)' contains negative values") NULL } ### Not really checking the slot itself but the value returned by the ### slot accessor. .valid.Seqinfo.isCircular <- function(x) { x_is_circular <- isCircular(x) if (!is.logical(x_is_circular) || length(x_is_circular) != length(x) || !identical(names(x_is_circular), seqnames(x))) return("'isCircular(x)' must be a logical vector of the length of 'x' and with names 'seqnames(x)'") NULL } ### Not really checking the slot itself but the value returned by the ### slot accessor. .valid.Seqinfo.genome <- function(x) { x_genome <- genome(x) if (!is.character(x_genome) || length(x_genome) != length(x) || !identical(names(x_genome), seqnames(x))) return("'genome(x)' must be a character vector of the length of 'x' and with names 'seqnames(x)'") NULL } .valid.Seqinfo <- function(x) { c(.valid.Seqinfo.seqnames(seqnames(x)), .valid.Seqinfo.seqlengths(x), .valid.Seqinfo.isCircular(x), .valid.Seqinfo.genome(x)) } setValidity2("Seqinfo", .valid.Seqinfo) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor. ### ### The .normarg*() helper functions below do only partial checking of the ### arguments. The full validation is performed by new() thru the validity ### method. ### ### Make sure this always returns an *unnamed* character vector. .normargSeqnames <- function(seqnames) { if (is.null(seqnames)) return(character(0)) seqnames <- unname(seqnames) errmsg <- .valid.Seqinfo.seqnames(seqnames, what="supplied 'seqnames'") if (!is.null(errmsg)) stop(errmsg) seqnames } ### Make sure this always returns an *unnamed* integer vector. .normargSeqlengths <- function(seqlengths, seqnames) { if (identical(seqlengths, NA)) return(rep.int(NA_integer_, length(seqnames))) if (!is.vector(seqlengths)) stop("supplied 'seqlengths' must be a vector") if (length(seqlengths) != length(seqnames)) stop("length of supplied 'seqlengths' must equal ", "the number of sequences") if (!is.null(names(seqlengths)) && !identical(names(seqlengths), seqnames)) stop("when the supplied 'seqlengths' vector is named, ", "the names must match the seqnames") if (is.logical(seqlengths)) { if (all(is.na(seqlengths))) return(as.integer(seqlengths)) stop("bad supplied 'seqlengths' vector") } if (!is.numeric(seqlengths)) stop("bad supplied 'seqlengths' vector") if (!is.integer(seqlengths)) return(as.integer(seqlengths)) unname(seqlengths) } ### Make sure this always returns an *unnamed* logical vector. .normargIsCircular <- function(isCircular, seqnames) { if (identical(isCircular, NA)) return(rep.int(NA, length(seqnames))) if (!is.vector(isCircular)) stop("supplied 'isCircular' must be a vector") if (length(isCircular) != length(seqnames)) stop("length of supplied 'isCircular' must equal ", "the number of sequences") if (!is.null(names(isCircular)) && !identical(names(isCircular), seqnames)) stop("when the supplied circularity flags are named, ", "the names must match the seqnames") if (!is.logical(isCircular)) stop("bad supplied 'isCircular' vector") unname(isCircular) } ### Make sure this always returns an *unnamed* character vector. .normargGenome <- function(genome, seqnames) { if (identical(genome, NA)) return(rep.int(NA_character_, length(seqnames))) if (is.factor(genome)) genome <- as.character(genome) else if (!is.vector(genome)) stop("supplied 'genome' must be a vector") if (length(genome) != length(seqnames)) { if (length(genome) != 1L) stop("when length of supplied 'genome' vector is not 1, ", "then it must equal the number of sequences") if (!is.null(names(genome))) stop("when length of supplied 'genome' vector is 1 ", "and number of sequences is != 1, ", "then 'genome' cannot be named") if (length(seqnames) == 0L) warning("supplied 'genome' vector has length 1 ", "but number of sequences is 0") genome <- rep.int(genome, length(seqnames)) } else if (!is.null(names(genome)) && !identical(names(genome), seqnames)) stop("when the supplied 'genome' vector is named, ", "the names must match the seqnames") if (is.logical(genome)) { if (all(is.na(genome))) return(as.character(genome)) stop("bad supplied 'genome' vector") } if (!is.character(genome)) stop("bad supplied 'genome' vector") unname(genome) } Seqinfo <- function(seqnames=NULL, seqlengths=NA, isCircular=NA, genome=NA) { seqnames <- .normargSeqnames(seqnames) seqlengths <- .normargSeqlengths(seqlengths, seqnames) is_circular <- .normargIsCircular(isCircular, seqnames) genome <- .normargGenome(genome, seqnames) new("Seqinfo", seqnames=seqnames, seqlengths=seqlengths, is_circular=is_circular, genome=genome) } setMethod("updateObject", "Seqinfo", function(object, ..., verbose=FALSE) { if (verbose) message("updateObject(object = 'Seqinfo')") if (!is(try(object@genome, silent=TRUE), "try-error")) return(genome) as(Seqinfo(seqnames=object@seqnames, seqlengths=object@seqlengths, isCircular=object@is_circular), class(object)) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting. ### ### Support subsetting only by name. setMethod("[", "Seqinfo", function(x, i, j, ..., drop=TRUE) { if (!missing(j) || length(list(...)) > 0L) stop("invalid subsetting") if (missing(i)) return(x) if (!is.character(i)) stop("a Seqinfo object can be subsetted only by name") if (!identical(drop, TRUE)) warning("'drop' argument is ignored when subsetting ", "a Seqinfo object") x_names <- names(x) i2names <- match(i, x_names) new_seqlengths <- unname(seqlengths(x))[i2names] new_isCircular <- unname(isCircular(x))[i2names] new_genome <- unname(genome(x))[i2names] Seqinfo(seqnames=i, seqlengths=new_seqlengths, isCircular=new_isCircular, genome=new_genome) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Setters. ### setReplaceMethod("seqnames", "Seqinfo", function(x, value) { value <- .normargSeqnames(value) if (length(value) != length(x)) stop("length of supplied 'seqnames' vector must equal ", "the number of sequences") x@seqnames <- value x } ) setReplaceMethod("names", "Seqinfo", function(x, value) `seqnames<-`(x, value) ) setReplaceMethod("seqlevels", "Seqinfo", function(x, force=FALSE, value) { if (!identical(force, FALSE)) warning("'force' is ignored in \"seqlevels<-\" method ", "for Seqinfo objects") mode <- getSeqlevelsReplacementMode(value, seqlevels(x)) if (identical(mode, -2L)) return(x[value]) if (identical(mode, -1L)) { seqnames(x) <- value return(x) } new_seqlengths <- unname(seqlengths(x))[mode] new_isCircular <- unname(isCircular(x))[mode] new_genome <- unname(genome(x))[mode] Seqinfo(seqnames=value, seqlengths=new_seqlengths, isCircular=new_isCircular, genome=new_genome) } ) setReplaceMethod("seqlengths", "Seqinfo", function(x, value) { x@seqlengths <- .normargSeqlengths(value, seqnames(x)) x } ) setReplaceMethod("isCircular", "Seqinfo", function(x, value) { x@is_circular <- .normargIsCircular(value, seqnames(x)) x } ) setReplaceMethod("genome", "Seqinfo", function(x, value) { x@genome <- .normargGenome(value, seqnames(x)) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### setMethod("as.data.frame", "Seqinfo", function(x, row.names=NULL, optional=FALSE, ...) { if (!is.null(row.names)) warning("supplied 'row.names' value was ignored") if (!identical(optional, FALSE)) warning("supplied 'optional' value was ignored") if (length(list(...)) != 0L) warning("extra arguments were ignored") data.frame(seqlengths=unname(seqlengths(x)), isCircular=unname(isCircular(x)), genome=unname(genome(x)), row.names=seqnames(x), check.names=FALSE, stringsAsFactors=FALSE) } ) setAs("Seqinfo", "RangesList", function(from) as(as(from, "GenomicRanges"), "RangesList") ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "show" method. ### ### cat(.showOutputAsCharacter(x), sep="\n") is equivalent to show(x). .showOutputAsCharacter <- function(x) { tmp <- tempfile() sink(file=tmp, type="output") show(x) sink(file=NULL) readLines(tmp) } .compactDataFrame <- function(x) { head_nrow <- get_showHeadLines() tail_nrow <- get_showTailLines() max_nrow <- head_nrow + tail_nrow + 1L if (nrow(x) <= max_nrow) return(x) head <- head(x, n=head_nrow) tail <- tail(x, n=tail_nrow) dotrow <- rep.int("...", ncol(x)) names(dotrow) <- colnames(x) dotrow <- data.frame(as.list(dotrow), row.names="...", check.names=FALSE, stringsAsFactors=FALSE) ## Won't handle properly the situation where one row in 'head' or 'tail' ## happens to be named "...". rbind(head, dotrow, tail) } ### Should work properly on "narrow" data frames. Untested on data frames ### that are wider than the terminal. showCompactDataFrame <- function(x, rownames.label="", left.margin="") { compactdf <- .compactDataFrame(x) label_nchar <- nchar(rownames.label) if (label_nchar != 0L) row.names(compactdf) <- format(row.names(compactdf), width=label_nchar) showme <- .showOutputAsCharacter(compactdf) if (label_nchar != 0L) substr(showme[1L], 1L, label_nchar) <- rownames.label cat(paste0(left.margin, showme), sep="\n") } setMethod("show", "Seqinfo", function(object) { lo <- length(object) cat(class(object), " of length ", lo, "\n", sep="") if (lo == 0L) return(NULL) showCompactDataFrame(as.data.frame(object), "seqnames") } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Combining. ### ### Why no "c" or "rbind" method for Seqinfo objects? ### 'c(x, y)' would be expected to just append the rows in 'y' to the rows in ### 'x' resulting in an object of length 'length(x) + length(y)'. But that ### would tend to break the constraint that the seqnames of a Seqinfo object ### must be unique. ### So what we really need is the ability to "merge" Seqinfo objects, that is, ### if a row in 'x' has the same seqname as a row in 'y', then the 2 rows must ### be merged in a single row before it's put in the result. If 2 rows cannot ### be merged because they contain incompatible information (e.g. different ### seqlengths or different circularity flags), then an error must be raised. ### .Seqinfo.mergexy <- function(x, y) { x_propernames <- setdiff(seqnames(x), seqnames(y)) y_propernames <- setdiff(seqnames(y), seqnames(x)) if (length(x_propernames) != 0L && length(y_propernames) != 0L) { msg <- c("Each of the 2 combined objects has sequence levels not in ", "the other:\n - in 'x': ", paste(x_propernames, collapse=", "), "\n - in 'y': ", paste(y_propernames, collapse=", "), "\n", " Make sure to always combine/compare objects based on the ", "same reference\n genome (use suppressWarnings() to ", "suppress this warning).") warning(msg) } ans_seqnames <- union(seqnames(x), seqnames(y)) ans_seqlengths <- mergeNamedAtomicVectors(seqlengths(x), seqlengths(y), what=c("sequence", "seqlengths")) ans_is_circular <- mergeNamedAtomicVectors(isCircular(x), isCircular(y), what=c("sequence", "circularity flags")) ans_genome <- mergeNamedAtomicVectors(genome(x), genome(y), what=c("sequence", "genomes")) Seqinfo(seqnames=ans_seqnames, seqlengths=ans_seqlengths, isCircular=ans_is_circular, genome=ans_genome) } .Seqinfo.merge <- function(...) { args <- unname(list(...)) ## Remove NULL elements... arg_is_null <- sapply(args, is.null) if (any(arg_is_null)) args[arg_is_null] <- NULL # ... by setting them to NULL! if (length(args) == 0L) return(Seqinfo()) x <- args[[1L]] if (length(args) == 1L) return(x) args <- args[-1L] if (!all(sapply(args, is, class(x)))) stop("all arguments in must be ", class(x), " objects (or NULLs)") for (y in args) x <- .Seqinfo.mergexy(x, y) x } ### These methods should not be called with named arguments: this tends to ### break dispatch! setMethod("merge", c("Seqinfo", "missing"), function(x, y, ...) .Seqinfo.merge(x, ...) ) setMethod("merge", c("missing", "Seqinfo"), function(x, y, ...) .Seqinfo.merge(y, ...) ) setMethod("merge", c("Seqinfo", "NULL"), function(x, y, ...) .Seqinfo.merge(x, ...) ) setMethod("merge", c("NULL", "Seqinfo"), function(x, y, ...) .Seqinfo.merge(y, ...) ) setMethod("merge", c("Seqinfo", "Seqinfo"), function(x, y, ...) .Seqinfo.merge(x, y, ...) ) setMethod("intersect", c("Seqinfo", "Seqinfo"), function(x, y) { merge(x, y)[intersect(seqnames(x), seqnames(y))] }) ## Long comment by Marc ## -------------------- ## To make this work I need to do some kind of 'fuzzy matching'. What that means mostly is just that a lot of things DO NOT MATTER HERE. For example, I don't care if I have the organism wrong for this getter! Not only am I not returning the organism, but I only need to match to *A* seqnameStyle such that all the things in my seqinfo are accounted for. Also, it doesn't matter if my seqnameStyle is not the perfect one, because I only need one that works for all the fields that the user has in their seqinfo. ## But what are "all" the things in my seqinfo? Because sometimes things are in there that the user does NOT need renamed (I don't want to try to match those!). How do I know which things are the ones I have to match? In the case of determineDefaultSeqnameStyle() I was able to rely on the fact that all the fields in the DB would have to be present in the incoming data, but now I don't have the luxury of that test. I no longer know which things are the ones I need to be matching. Maybe this too doesn't really matter. Those other things are NEVER going to match, so all I really need is the best match? But that won't quite cut it since my best match might kind of suck. Suppose that there really is no good match in the DB, shouldn't the user be told that??? ## proposed strategy: ## 1) Go down the seqnames vector and find things that match NOTHING in the DB. Throw those things away. We don't want to even try to match those. If the vector is not length 0, then error out. ## 2) Find the best match you can of the remaining things. If there are multiple best matches, keep the 1st one of them and return the name of that seqnameStyle. If the set of things that each have the same number of best matches have "match indices" that are not identical, then issue a warning. .getSeqnameStyle <- function(x) { ## We load AnnotationDbi to get supportedSeqnames() and ## listAllSupportedSeqnameStyles(). library(AnnotationDbi) seqnames <- seqnames(x) ## Get vector of ALL possible chromosome names allNames <- AnnotationDbi::supportedSeqnames() ## compare to seqnames and filter out things that can never match seqnames <- seqnames[seqnames %in% allNames] if(length(seqnames)==0){ stop("It is not possibe to match the seqnameStyle of this object to the seqnames.db database") } ## now compare to all, one style at a time. allseqnameStyles <- AnnotationDbi::listAllSupportedSeqnameStyles() ## (get match indices for each style) .getIndices <- function(style, seqnames){ match(seqnames, style) } indices <- lapply(allseqnameStyles,.getIndices,seqnames=seqnames) ## I need to count the number that have some match (are not NA) cnts <- unlist(lapply(indices, function(x){x<-x[!is.na(x)];length(x)})) ## now I can calculate the result res <- names(cnts)[cnts==max(cnts)] res <- unique(sub("^.*__","",res,perl=TRUE)) ## if things are matching poorly in a way that may be consequential give a ## warning if(length(res) > 1 && length(cnts[cnts==max(cnts)]) > 1){ ## more than one match means things are ambiguous warning("The seqnames for this object matches multiple different seqname styles equally well. You may wish to verify that the seqnames.db database contains records that match your data.") } res } setMethod("seqnameStyle", "Seqinfo", .getSeqnameStyle) setReplaceMethod("seqnameStyle", "Seqinfo", function(x, value) { ## We load AnnotationDbi to get findSequenceRenamingMaps(). library(AnnotationDbi) x_seqnames <- seqnames(x) renaming_maps <- AnnotationDbi::findSequenceRenamingMaps(x_seqnames, value, drop=FALSE) if (nrow(renaming_maps) == 0L) { msg <- c("found no sequence renaming map compatible ", "with seqname style \"", value, "\" for this object") stop(msg) } ## Use 1st best renaming map. if (nrow(renaming_maps) != 1L) { msg <- c("found more than one best sequence renaming map ", "compatible with seqname style \"", value, "\" for ", "this object, using the first one") warning(msg) renaming_maps <- renaming_maps[1L, , drop=FALSE] } new_seqnames <- as.vector(renaming_maps) na_idx <- which(is.na(new_seqnames)) new_seqnames[na_idx] <- x_seqnames[na_idx] seqnames(x) <- new_seqnames x } ) GenomicRanges/R/SummarizedExperiment-class.R0000644000126300012640000005360112227070333022472 0ustar00biocbuildphs_compbio## ## Helper classes: Assays, ShallowData, ShallowSimpleListAssays setClass("Assays") .ShallowData <- setRefClass("ShallowData", fields = list( data = "ANY" )) setMethod("clone", "ShallowData", # not exported function(x, ...) { args <- list(...) x <- x$copy() for (nm in names(args)) x$field(nm, args[[nm]]) x }) .ShallowSimpleListAssays0 <- setRefClass("ShallowSimpleListAssays", fields = list( data = "SimpleList" ), contains = c("ShallowData", "Assays")) .ShallowSimpleListAssays <- function(..., data = SimpleList()) ## this two-step constructor is much faster, 16 May, 2013 { xx <- .ShallowSimpleListAssays0(...) xx$data <- data xx } ## ## SummarizedExperiment setClass("SummarizedExperiment", representation( exptData="SimpleList", # overall description rowData="GenomicRangesORGRangesList", # rows and their annotations colData="DataFrame", # columns and their annotations assays="Assays"), # Data -- e.g., list of matricies prototype( rowData=GRanges(), assays=.ShallowSimpleListAssays(data=SimpleList()))) ## validity .valid.SummarizedExperiment.assays_current <- function(x) { if (!is(slot(x, "assays"), "Assays")) return("'assays' is out-of-date; use updateObject()") NULL } .valid.SummarizedExperiment.assays_class <- function(x) { ok <- sapply(assays(x, withDimnames=FALSE), function(cl) { (!is.null(dim(cl))) && (length(dim(cl)) >= 2L) }) if (!all(ok)) return("'assays' must be matrix-like with 2 (or more?) dimensions") NULL } .valid.SummarizedExperiment.rowData_dims <- function(x) { if (!all(sapply(assays(x, withDimnames=FALSE), nrow) == length(rowData(x)))) return("'rowData' length differs from 'assays' nrow") NULL } .valid.SummarizedExperiment.colData_dims <- function(x) { if (!all(sapply(assays(x, withDimnames=FALSE), ncol) == nrow(colData(x)))) return("'colData' nrow differs from 'assays' ncol") NULL } .valid.SummarizedExperiment.assays_dims <- function(x) { c(.valid.SummarizedExperiment.rowData_dims(x), .valid.SummarizedExperiment.colData_dims(x)) } .valid.SummarizedExperiment <- function(x) { c(.valid.SummarizedExperiment.assays_current(x), msg <- .valid.SummarizedExperiment.assays_class(x), if (is.null(msg)) { .valid.SummarizedExperiment.assays_dims(x) } else NULL) } setValidity2("SummarizedExperiment", .valid.SummarizedExperiment) setGeneric("SummarizedExperiment", function(assays, ...) standardGeneric("SummarizedExperiment")) .GRangesList_assays <- function(assays) { m <- assays[[1]] n <- nrow(m) names <- rownames(m) relist(GRanges(), PartitioningByEnd(integer(n), names=names)) } setMethod(SummarizedExperiment, "SimpleList", function(assays, rowData=GRangesList(), colData=DataFrame(), exptData=SimpleList(), ..., verbose=FALSE) { if (missing(rowData) && 0L != length(assays)) rowData <- .GRangesList_assays(assays) if (missing(colData) && 0L != length(assays)) { nms <- colnames(assays[[1]]) if (is.null(nms) && 0L != ncol(assays[[1]])) stop("'SummarizedExperiment' assay colnames must not be NULL") colData <- DataFrame(row.names=nms) } FUN <- function(x) ## dimnames as NULL or list(NULL, NULL) all(sapply(dimnames(x), is.null)) if (!all(sapply(assays, FUN))) assays <- endoapply(assays, unname) if (!is(assays, "Assays")) assays <- .ShallowSimpleListAssays(data=assays) new("SummarizedExperiment", exptData=exptData, rowData=rowData, colData=colData, assays=assays, ...) }) setMethod(SummarizedExperiment, "missing", function(assays, ...) { SummarizedExperiment(SimpleList(), ...) }) setMethod(SummarizedExperiment, "list", function(assays, ...) { SummarizedExperiment(do.call(SimpleList, assays), ...) }) setMethod(SummarizedExperiment, "matrix", function(assays, ...) { SummarizedExperiment(SimpleList(assays), ...) }) ## update / clone setMethod("clone", "SummarizedExperiment", # not exported function(x, ...) { ## IRanges:::extraArgsAsList would prevent using clone on ## subclasses args <- list(...) firstTime <- TRUE for (nm in names(args)) { s <- slot(x, nm) v <- args[[nm]] if (is(s, "ShallowData")) v <- clone(s, data=v) if (firstTime) { slot(x, nm, FALSE) <- v firstTime <- FALSE } else { `slot<-`(x, nm, FALSE, v) } } x }) setGeneric("value", # not exported function(x, name, ...) standardGeneric("value"), signature = "x") setMethod("value", "SummarizedExperiment", # not exported function(x, name, ...) { s <- slot(x, name) if (is(s, "ShallowData")) s <- s$data s }) ## getter / setter generics setGeneric("exptData", function(x, ...) standardGeneric("exptData")) setGeneric("exptData<-", function(x, ..., value) standardGeneric("exptData<-")) ## rowData, colData seem too vague, but from eSet derived classes wanted to ## call the rows / cols something different from 'features' or 'samples', so ## might as well avoid the issue setGeneric("rowData", function(x, ...) standardGeneric("rowData")) setGeneric("rowData<-", function(x, ..., value) standardGeneric("rowData<-")) setGeneric("colData", function(x, ...) standardGeneric("colData")) setGeneric("colData<-", function(x, ..., value) standardGeneric("colData<-")) setGeneric("assays", function(x, ..., withDimnames=TRUE) standardGeneric("assays"), signature="x") setGeneric("assays<-", function(x, ..., value) standardGeneric("assays<-")) setGeneric("assay", function(x, i, ...) standardGeneric("assay")) setGeneric("assay<-", function(x, i, ..., value) standardGeneric("assay<-")) ## Simple 'getters' / 'setters' setMethod(exptData, "SummarizedExperiment", function(x, ...) value(x, "exptData")) setReplaceMethod("exptData", c("SummarizedExperiment", "SimpleList"), function(x, ..., value) { clone(x, ..., exptData=value) }) setReplaceMethod("exptData", c("SummarizedExperiment", "list"), function(x, ..., value) { clone(x, ..., exptData=SimpleList(value)) }) setMethod(rowData, "SummarizedExperiment", function(x, ...) value(x, "rowData")) .SummarizedExperiment.rowData.replace <- function(x, ..., value) { x <- clone(x, ..., rowData=value) msg <- .valid.SummarizedExperiment.rowData_dims(x) if (!is.null(msg)) stop(msg) x } setReplaceMethod("rowData", c("SummarizedExperiment", "GenomicRanges"), .SummarizedExperiment.rowData.replace) setReplaceMethod("rowData", c("SummarizedExperiment", "GRangesList"), .SummarizedExperiment.rowData.replace) setMethod(colData, "SummarizedExperiment", function(x, ...) value(x, "colData")) setReplaceMethod("colData", c("SummarizedExperiment", "DataFrame"), function(x, ..., value) { x <- clone(x, ..., colData=value) msg <- .valid.SummarizedExperiment.colData_dims(x) if (!is.null(msg)) stop(msg) x }) setMethod(assays, "SummarizedExperiment", function(x, ..., withDimnames=TRUE) { if (withDimnames) endoapply(value(x, "assays"), "dimnames<-", dimnames(x)) else value(x, "assays") }) .SummarizedExperiment.assays.replace <- function(x, ..., value) { x <- clone(x, ..., assays=value) msg <- .valid.SummarizedExperiment(x) if (!is.null(msg)) stop(msg) x } setReplaceMethod("assays", c("SummarizedExperiment", "SimpleList"), .SummarizedExperiment.assays.replace) setReplaceMethod("assays", c("SummarizedExperiment", "list"), function(x, ..., value) { value <- lapply(x, "dimnames<-", NULL) .SummarizedExperiment.assays.replace(x, ..., value=SimpleList(value)) }) ## convenience for common use case setMethod(assay, c("SummarizedExperiment", "missing"), function(x, i, ...) { assays <- assays(x, ...) if (0L == length(assays)) stop("'assay(<", class(x), ">, i=\"missing\", ...) ", "length(assays(<", class(x), ">)) is 0'") assays[[1]] }) setMethod(assay, c("SummarizedExperiment", "numeric"), function(x, i, ...) { tryCatch({ assays(x, ...)[[i]] }, error=function(err) { stop("'assay(<", class(x), ">, i=\"numeric\", ...)' ", "invalid subscript 'i'\n", conditionMessage(err)) }) }) setMethod(assay, c("SummarizedExperiment", "character"), function(x, i = names(x)[1], ...) { msg <- paste0("'assay(<", class(x), ">, i=\"character\", ...)' ", "invalid subscript 'i'") res <- tryCatch({ assays(x, ...)[[i]] }, error=function(err) { stop(msg, "\n", conditionMessage(err)) }) if (is.null(res)) stop(msg, "\n'i' not in names(assays(<", class(x), ">))") res }) setReplaceMethod("assay", c("SummarizedExperiment", "missing", "matrix"), function(x, i, ..., value) { if (0L == length(assays(x))) stop("'assay(<", class(x), ">) <- value' ", "length(assays(<", class(x), ">)) is 0") assays(x)[[1]] <- value x }) setReplaceMethod("assay", c("SummarizedExperiment", "numeric", "matrix"), function(x, i = 1, ..., value) { assays(x, ...)[[i]] <- value x }) setReplaceMethod("assay", c("SummarizedExperiment", "character", "matrix"), function(x, i = names(x)[1], ..., value) { assays(x, ...)[[i]] <- value x }) ## cannonical location for dim, dimnames; dimnames should be checked ## for consistency (if non-null) and stripped from assays on ## construction, or added from assays if row/col names are NULL in ## but not assays. dimnames need to be added on ## to assays when assays() invoked setMethod(dim, "SummarizedExperiment", function(x) { c(length(rowData(x)), nrow(colData(x))) }) setMethod(dimnames, "SummarizedExperiment", function(x) { list(names(rowData(x)), rownames(colData(x))) }) setReplaceMethod("dimnames", c("SummarizedExperiment", "list"), function(x, value) { rowData <- rowData(x) names(rowData) <- value[[1]] colData <- colData(x) rownames(colData) <- value[[2]] clone(x, rowData=rowData, colData=colData) }) setReplaceMethod("dimnames", c("SummarizedExperiment", "NULL"), function(x, value) { dimnames(x) <- list(NULL, NULL) x }) ## Subset -- array-like .SummarizedExperiment.charbound <- function(idx, txt, fmt) { orig <- idx idx <- match(idx, txt) if (any(bad <- is.na(idx))) { msg <- paste(BiocGenerics:::selectSome(orig[bad]), collapse=" ") stop(sprintf(fmt, msg)) } idx } .SummarizedExperiment.assays.subset <- function(x, i, j, ...) { ## need to expand Rle's for subsetting standard matrix if (!missing(i) && !missing(j)) { fun <- function(x) { if (length(dim(x)) == 2L) x[i, j, drop=FALSE] else x[i, j, , drop=FALSE] } } else if (!missing(i)) { fun <- function(x) { if (length(dim(x)) == 2L) x[i, , drop=FALSE] else x[i, , , drop=FALSE] } } else if (!missing(j)) { fun <- function(x) { if (length(dim(x)) == 2L) x[, j, drop=FALSE] else x[, j, , drop=FALSE] } } endoapply(assays(x, withDimnames=FALSE), fun) } setMethod("[", c("SummarizedExperiment", "ANY", "ANY"), function(x, i, j, ..., drop=TRUE) { if (1L != length(drop) || (!missing(drop) && drop)) warning("'drop' ignored '[,", class(x), ",ANY,ANY-method'") if (missing(i) && missing(j)) return(x) if (!missing(i) && is.character(i)) { fmt <- paste0("<", class(x), ">[i,] index out of bounds: %s") i <- .SummarizedExperiment.charbound(i, rownames(x), fmt) } if (!missing(j) && is.character(j)) { fmt <- paste0("<", class(x), ">[,j] index out of bounds: %s") j <- .SummarizedExperiment.charbound(j, colnames(x), fmt) } if (!missing(i) && !missing(j)) { ii <- as.vector(i) jj <- as.vector(j) x <- clone(x, ..., rowData=rowData(x)[i], colData=colData(x)[j, , drop=FALSE], assays=.SummarizedExperiment.assays.subset(x, ii, jj)) } else if (missing(i)) { jj <- as.vector(j) x <- clone(x, ..., colData=colData(x)[j, , drop=FALSE], assays=.SummarizedExperiment.assays.subset(x, j=jj)) } else { # missing(j) ii <- as.vector(i) x <- clone(x, ..., rowData=rowData(x)[i], assays=.SummarizedExperiment.assays.subset(x, ii)) } x }) .SummarizedExperiment.assays.subsetgets <- function(x, i, j, ..., value) { ## need to expand Rle's for subsetting standard matrix if (!missing(i) && !missing(j)) { fun <- function(x, value) { if (length(dim(x)) == 2L) x[i, j] <- value else x[i, j, ] <- value x } } else if (!missing(i)) { fun <- function(x, value) { if (length(dim(x)) == 2L) x[i, ] <- value else x[i, , ] <- value x } } else if (!missing(j)) { fun <- function(x, value) { if (length(dim(x)) == 2L) x[, j] <- value else x[, j, ] <- value x } } a <- assays(x, withDimnames=FALSE) v <- assays(value, withDimnames=FALSE) mendoapply(fun, x=a, value=v) } setReplaceMethod("[", c("SummarizedExperiment", "ANY", "ANY", "SummarizedExperiment"), function(x, i, j, ..., value) { if (missing(i) && missing(j)) return(value) if (!missing(i) && is.character(i)) { fmt <- paste0("<", class(x), ">[i,] index out of bounds: %s") i <- .SummarizedExperiment.charbound(i, rownames(x), fmt) } if (!missing(j) && is.character(j)) { fmt <- paste0("<", class(x), ">[,j] index out of bounds: %s") j <- .SummarizedExperiment.charbound(j, colnames(x), fmt) } if (!missing(i) && !missing(j)) { ii <- as.vector(i) jj <- as.vector(j) x <- clone(x, ..., exptData=c(exptData(x), exptData(value)), rowData=local({ r <- rowData(x) r[i] <- rowData(value) names(r)[ii] <- names(rowData(value)) r }), colData=local({ c <- colData(x) c[j,] <- colData(value) rownames(c)[jj] <- rownames(colData(value)) c }), assays=.SummarizedExperiment.assays.subsetgets(x, ii, jj, ..., value=value)) msg <- .valid.SummarizedExperiment.assays_dims(x) } else if (missing(i)) { jj <- as.vector(j) x <- clone(x, ..., exptData=c(exptData(x), exptData(value)), colData=local({ c <- colData(x) c[j,] <- colData(value) rownames(c)[jj] <- rownames(colData(value)) c }), assays=.SummarizedExperiment.assays.subsetgets(x, j=jj, ..., value=value)) msg <- .valid.SummarizedExperiment.colData_dims(x) } else { # missing(j) ii <- as.vector(i) x <- clone(x, ..., exptData=c(exptData(x), exptData(value)), rowData=local({ r <- rowData(x) r[i] <- rowData(value) names(r)[ii] <- names(rowData(value)) r }), assays=.SummarizedExperiment.assays.subsetgets(x, ii, ..., value=value)) msg <- .valid.SummarizedExperiment.rowData_dims(x) } if (!is.null(msg)) stop(msg) x }) ## rbind, cbind ## Appropriate for objects with different ranges and same samples. setMethod("rbind", "SummarizedExperiment", function(..., deparse.level=1) { args <- unname(list(...)) .rbind.SummarizedExperiment(args) }) .rbind.SummarizedExperiment <- function(args) { if (!.compare(lapply(args, colnames))) stop("'...' objects must have the same colnames") if (!.compare(lapply(args, ncol))) stop("'...' objects must have the same number of samples") rowData <- do.call(c, lapply(args, function(i) slot(i, "rowData"))) cdlst <- lapply(args, colData) colData <- .cbind.DataFrame(args, colData, "colData") assays <- .bind.arrays(args, rbind, "assays") exptData <- do.call(c, lapply(args, exptData)) SummarizedExperiment(assays=assays, rowData=rowData, colData=colData, exptData=exptData) } ## Appropriate for objects with same ranges and different samples. setMethod("cbind", "SummarizedExperiment", function(..., deparse.level=1) { args <- unname(list(...)) .cbind.SummarizedExperiment(args) }) .cbind.SummarizedExperiment <- function(args) { if (!.compare(lapply(args, rowData), TRUE)) stop("'...' object ranges (rows) are not compatible") rowData <- rowData(args[[1]]) mcols(rowData) <- .cbind.DataFrame(args, mcols, "mcols") colData <- do.call(rbind, lapply(args, colData)) assays <- .bind.arrays(args, cbind, "assays") exptData <- do.call(c, lapply(args, exptData)) SummarizedExperiment(assays=assays, rowData=rowData, colData=colData, exptData=exptData) } .compare <- function(x, GenomicRanges=FALSE) { x1 <- x[[1]] if (GenomicRanges) { if (is(x1, "GRangesList")) { x <- lapply(x, unlist) x1 <- x[[1]] } for (i in seq_along(x[-1])) { if (length(x1) != length(x[[i]])) return(FALSE) ok <- x1 == x[[i]] if (!all(ok)) return(FALSE) } return(TRUE) } else { all(sapply(x[-1], function(xelt) all(identical(xelt, x[[1]])))) } } .cbind.DataFrame <- function(args, accessor, accessorName) { lst <- lapply(args, accessor) if (!.compare(lst)) { nms <- lapply(lst, names) nmsv <- unlist(nms, use.names=FALSE) names(nmsv) <- rep(seq_along(nms), elementLengths(nms)) dups <- duplicated(nmsv) ## no duplicates if (!any(dups)) return(do.call(cbind, lst)) ## confirm duplicates are the same lapply(nmsv[duplicated(nmsv)], function(d) { if (!.compare(lapply(lst, "[", d))) stop("column(s) '", unname(d), "' in ", sQuote(accessorName), " are duplicated and the data do not match")}) ## remove duplicates do.call(cbind, lst)[,!dups] } else { lst[[1]] } } .bind.arrays <- function(args, bind, accessor, accessorName) { lst <- lapply(args, accessor) var <- lapply(lst, names) if (is.null(uvar <- unique(unlist(var)))) return(SimpleList()) if (!.compare(var)) stop("elements in ", sQuote(accessorName), " must have the same names") ## extract variable l1 <- lapply(uvar, function(v) { l2 <- lapply(lst, "[[", v) dim <- .assay.dimension(l2, bind) if (!is.na(dim[3])) { ## assay: combine each dimension of each element l3 <- lapply(1:dim[3], function(i) do.call(bind, lapply(l2, "[", ,,i))) array(do.call(c, l3), dim=dim) } else { ## matrix: combine each element do.call(bind, l2) } }) names(l1) <- uvar SimpleList(l1) } .assay.dimension <- function(lst, bind) { dim <- lapply(lst, dim) if (!.compare(lapply(dim, "[", 3))) stop("elements in assays must have the same dimension") if (identical(bind, cbind)) c(dim[[1]][1], do.call(sum, lapply(dim, "[", 2)), dim[[1]][3]) else c(do.call(sum, lapply(dim, "[", 1)), dim[[1]][2], dim[[1]][3]) } ## $, $<-, [[, [[<- for colData access setMethod("[[", c("SummarizedExperiment", "ANY", "missing"), function(x, i, j, ...) { colData(x)[[i, ...]] }) setReplaceMethod("[[", c("SummarizedExperiment", "ANY", "missing", "ANY"), function(x, i, j, ..., value) { colData(x)[[i, ...]] <- value x }) setMethod("$", "SummarizedExperiment", function(x, name) { colData(x)[[name]] }) setReplaceMethod("$", c("SummarizedExperiment", "ANY"), function(x, name, value) { colData(x)[[name]] <- value x }) ## compatibility setMethod(updateObject, "SummarizedExperiment", function(object, ..., verbose=FALSE) { s <- slot(object, "assays") if (is(s, "SimpleList")) slot(object, "assays") <- .ShallowSimpleListAssays(data=s) object }) ## show setMethod(show, "SummarizedExperiment", function(object) { selectSome <- BiocGenerics:::selectSome scat <- function(fmt, vals=character(), exdent=2, ...) { vals <- ifelse(nzchar(vals), vals, "''") lbls <- paste(BiocGenerics:::selectSome(vals), collapse=" ") txt <- sprintf(fmt, length(vals), lbls) cat(strwrap(txt, exdent=exdent, ...), sep="\n") } cat("class:", class(object), "\n") cat("dim:", dim(object), "\n") expt <- names(exptData(object)) if (is.null(expt)) expt <- character(length(exptData(object))) scat("exptData(%d): %s\n", expt) nms <- names(assays(object, withDimnames=FALSE)) if (is.null(nms)) nms <- character(length(assays(object, withDimnames=FALSE))) scat("assays(%d): %s\n", nms) dimnames <- dimnames(object) dlen <- sapply(dimnames, length) if (dlen[[1]]) scat("rownames(%d): %s\n", dimnames[[1]]) else scat("rownames: NULL\n") scat("rowData metadata column names(%d): %s\n", names(mcols(rowData(object)))) if (dlen[[2]]) scat("colnames(%d): %s\n", dimnames[[2]]) else cat("colnames: NULL\n") scat("colData names(%d): %s\n", names(colData(object))) }) GenomicRanges/R/SummarizedExperiment-rowData-methods.R0000644000126300012640000001746712227070333024441 0ustar00biocbuildphs_compbio## colData-as-GRanges compatibility: allow direct access to GRanges / ## GRangesList colData for select functions ## Not supported: ## ## Not consistent SummarizedExperiment structure: length, names, ## as.data.frame, c. ## Length-changing endomorphisms: disjoin, gaps, reduce, unique. ## 'legacy' data types / functions: as "RangedData", as "RangesList", ## renameSeqlevels, keepSeqlevels. ## Possile to implement, but not yet: Ops, map, window, window<- ## mcols setMethod(mcols, "SummarizedExperiment", function(x, use.names=FALSE, ...) { mcols(rowData(x), use.names=use.names, ...) }) setReplaceMethod("mcols", "SummarizedExperiment", function(x, ..., value) { clone(x, rowData=local({ r <- rowData(x) mcols(r) <- value r })) }) ### mcols() is the recommended way for accessing the metadata columns. ### Use of values() or elementMetadata() is discouraged. setMethod(elementMetadata, "SummarizedExperiment", function(x, use.names=FALSE, ...) { elementMetadata(rowData(x), use.names=use.names, ...) }) setReplaceMethod("elementMetadata", "SummarizedExperiment", function(x, ..., value) { elementMetadata(rowData(x), ...) <- value x }) setMethod(values, "SummarizedExperiment", function(x, ...) { values(rowData(x), ...) }) setReplaceMethod("values", "SummarizedExperiment", function(x, ..., value) { values(rowData(x), ...) <- value x }) ## Single dispatch, generic signature fun(x, ...) local({ .funs <- c("coverage", "disjointBins", "duplicated", "end", "end<-", "flank", "isDisjoint", "narrow", "ranges", "resize", "restrict", "seqinfo", "seqnames", "shift", "start", "start<-", "strand", "width", "width<-") endomorphisms <- c(.funs[grepl("<-$", .funs)], "flank", "narrow", "resize", "restrict", "shift") tmpl <- function() {} environment(tmpl) <- parent.frame(2) for (.fun in .funs) { generic <- getGeneric(.fun) formals(tmpl) <- formals(generic) fmls <- as.list(formals(tmpl)) fmls[] <- sapply(names(fmls), as.symbol) fmls[[generic@signature]] <- quote(rowData(x)) if (.fun %in% endomorphisms) body(tmpl) <- substitute({ rowData(x) <- do.call(FUN, ARGS) x }, list(FUN=.fun, ARGS=fmls)) else body(tmpl) <- substitute(do.call(FUN, ARGS), list(FUN=as.symbol(.fun), ARGS=fmls)) setMethod(.fun, "SummarizedExperiment", tmpl) } }) setMethod("granges", "SummarizedExperiment", function(x, ...) rowData(x)) ## 2-argument dispatch: ## compare / Compare ## precede, follow, nearest, distance, distanceToNearest ## ## findOverlaps / countOverlaps, match, subsetByOverlaps: see ## findOverlaps-method.R .SummarizedExperiment.compare <- function(x, y) { if (is(x, "SummarizedExperiment")) x <- rowData(x) if (is(y, "SummarizedExperiment")) y <- rowData(y) compare(x, y) } .SummarizedExperiment.Compare <- function(e1, e2) { if (is(e1, "SummarizedExperiment")) e1 <- rowData(e1) if (is(e2, "SummarizedExperiment")) e2 <- rowData(e2) callGeneric(e1=e1, e2=e2) } .SummarizedExperiment.nearest.missing <- function(x, subject, select = c("arbitrary", "all"), ignore.strand = FALSE, ...) { select <- match.arg(select) x <- rowData(x) nearest(x=x, subject=x, select=select, ignore.strand=ignore.strand, ignoreSelf=TRUE, ...) } .SummarizedExperiment.distance <- function(x, y, ignore.strand = FALSE, ...) { if (is(x, "SummarizedExperiment")) x <- rowData(x) if (is(y, "SummarizedExperiment")) y <- rowData(y) distance(x, y, ignore.strand=ignore.strand, ...) } .SummarizedExperiment.distanceToNearest <- function(x, subject, ignore.strand = FALSE, ...) { if (is(x, "SummarizedExperiment")) x <- rowData(x) if (is(subject, "SummarizedExperiment")) subject <- rowData(subject) distanceToNearest(x, subject, ignore.strand=ignore.strand, ...) } local({ .signatures <- list( c("SummarizedExperiment", "ANY"), c("ANY", "SummarizedExperiment"), c("SummarizedExperiment", "SummarizedExperiment")) for (.sig in .signatures) { .funs <- c("nearest", "precede", "follow") tmpl <- function(x, subject, select = c("arbitrary", "all"), ignore.strand = FALSE, ...) {} environment(tmpl) <- parent.frame(2) for (.fun in .funs) { body(tmpl) <- substitute({ select <- match.arg(select) if (is(x, "SummarizedExperiment")) x <- rowData(x) if (is(subject, "SummarizedExperiment")) subject <- rowData(subject) FUN(x=x, subject=subject, select=select, ignore.strand=ignore.strand, ...) }, list(FUN=as.symbol(.fun))) setMethod(.fun, .sig, tmpl) } setMethod("nearest", c("SummarizedExperiment", "missing"), .SummarizedExperiment.nearest.missing) setMethod("compare", .sig, .SummarizedExperiment.compare) setMethod("Compare", .sig, .SummarizedExperiment.Compare) setMethod("distance", .sig, .SummarizedExperiment.distance) setMethod("distanceToNearest", .sig, .SummarizedExperiment.distanceToNearest) } }) ## additional getters / setters setReplaceMethod("strand", "SummarizedExperiment", function(x, ..., value) { strand(rowData(x)) <- value x }) setReplaceMethod("ranges", "SummarizedExperiment", function(x, ..., value) { ranges(rowData(x)) <- value x }) ## order, rank, sort setMethod("order", "SummarizedExperiment", function(..., na.last = TRUE, decreasing = FALSE) { args <- lapply(list(...), rowData) do.call("order", c(args, list(na.last=na.last, decreasing=decreasing))) }) setMethod("rank", "SummarizedExperiment", function (x, na.last = TRUE, ties.method = c("average", "first", "random", "max", "min")) { ties.method <- match.arg(ties.method) rank(rowData(x), na.last=na.last, ties.method=ties.method) }) setMethod("sort", "SummarizedExperiment", function(x, decreasing = FALSE, ...) { x[order(rowData(x), decreasing=decreasing),] }) ## seqinfo (also seqlevels, genome, seqlevels<-, genome<-), seqinfo<- setMethod(seqinfo, "SummarizedExperiment", function(x) { seqinfo(x@rowData) }) setMethod("seqlevelsInUse", "SummarizedExperiment", function(x) { seqlevelsInUse(rowData(x)) }) setReplaceMethod("seqinfo", "SummarizedExperiment", function (x, new2old = NULL, force = FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") dangling_seqlevels <- getDanglingSeqlevels(x@rowData, new2old = new2old, force = force, seqlevels(value)) if (length(dangling_seqlevels) != 0L) x <- x[!(seqnames(x) %in% dangling_seqlevels)] x@rowData <- update(x@rowData, seqnames = makeNewSeqnames(x, new2old, seqlevels(value)), seqinfo = value) if (is.character(msg <- .valid.SummarizedExperiment(x))) stop(msg) x }) ## extractROWS, replaceROWS setMethod(IRanges:::extractROWS, "SummarizedExperiment", function(x, i) { ridx <- IRanges:::extractROWS(seq_len(nrow(x)), i) x[ridx,] }) setMethod(IRanges:::replaceROWS, "SummarizedExperiment", function (x, i, value) { ridx <- IRanges:::extractROWS(seq_len(nrow(x)), i) x[ridx,] <- value x }) setMethod(splitAsListReturnedClass, "SummarizedExperiment", function(x) "SimpleList") setMethod(split, "SummarizedExperiment", function(x, f, drop=FALSE, ...) { splitAsList(x, f, drop=drop) }) GenomicRanges/R/cigar-utils.R0000644000126300012640000004457012227070333017436 0ustar00biocbuildphs_compbio### ========================================================================= ### Low-level CIGAR utilities ### ------------------------------------------------------------------------- ### See p. 4 of the SAM Spec v1.4 at http://samtools.sourceforge.net/ for the ### list of CIGAR operations and their meanings. CIGAR_OPS <- c("M", "I", "D", "N", "S", "H", "P", "=", "X") .normarg_cigar <- function(cigar) { if (is.factor(cigar)) cigar <- as.character(cigar) if (!is.character(cigar)) stop("'cigar' must be a character vector or factor") cigar } .normarg_flag <- function(flag, cigar) { if (!is.null(flag)) { if (!is.numeric(flag)) stop("'flag' must be NULL or a vector of integers") if (!is.integer(flag)) flag <- as.integer(flag) if (length(cigar) != length(flag)) stop("'cigar' and 'flag' must have the same length") } flag } .normarg_pos <- function(pos, cigar) { if (!is.numeric(pos)) stop("'pos' must be a vector of integers") if (!is.integer(pos)) pos <- as.integer(pos) if (length(pos) != 1L && length(pos) != length(cigar)) stop("'pos' must have length 1 or the same length as 'cigar'") pos } .select_reference_space <- function(N.regions.removed) { if (!isTRUEorFALSE(N.regions.removed)) stop("'N.regions.removed' must be TRUE or FALSE") if (N.regions.removed) { space <- 2L # REFERENCE_N_REGIONS_REMOVED } else { space <- 1L # REFERENCE } space } .select_query_space <- function(before.hard.clipping, after.soft.clipping) { if (!isTRUEorFALSE(before.hard.clipping)) stop("'before.hard.clipping' must be TRUE or FALSE") if (!isTRUEorFALSE(after.soft.clipping)) stop("'after.soft.clipping' must be TRUE or FALSE") if (before.hard.clipping) { if (after.soft.clipping) stop("'before.hard.clipping' and 'after.soft.clipping' ", "cannot both be TRUE") space <- 4L # QUERY_BEFORE_HARD_CLIPPING } else if (after.soft.clipping) { space <- 5L # QUERY_AFTER_SOFT_CLIPPING } else { space <- 3L # QUERY } space } .select_pairwise_space <- function(N.regions.removed, dense) { if (!isTRUEorFALSE(N.regions.removed)) stop("'N.regions.removed' must be TRUE or FALSE") if (!isTRUEorFALSE(dense)) stop("'dense' must be TRUE or FALSE") if (N.regions.removed) { if (dense) stop("'N.regions.removed' and 'dense' ", "cannot both be TRUE") space <- 7L # PAIRWISE_N_REGIONS_REMOVED } else if (dense) { space <- 8L # PAIRWISE_DENSE } else { space <- 6L # PAIRWISE } space } .normarg_ops <- function(ops) { if (is.null(ops)) return(ops) if (!is.character(ops)) stop("'ops' must be a character vector") if (any(is.na(ops))) stop("'ops' cannot contain NAs") if (length(ops) == 1L) { ops <- strsplit(ops, NULL, fixed=TRUE)[[1L]] } else if (any(nchar(ops) != 1L)) { stop("when 'length(ops) != 1', all its elements ", "must be single letters") } if (anyDuplicated(ops)) stop("'ops' cannot contain duplicated letters") if (!all(ops %in% CIGAR_OPS)) stop("'ops' contains invalid CIGAR operations") ops } validCigar <- function(cigar) { cigar <- .normarg_cigar(cigar) .Call2("valid_cigar", cigar, 0L, PACKAGE="GenomicRanges") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Transform CIGARs into other useful representations ### explodeCigarOps <- function(cigar, ops=CIGAR_OPS) { cigar <- .normarg_cigar(cigar) ops <- .normarg_ops(ops) .Call2("explode_cigar_ops", cigar, ops, PACKAGE="GenomicRanges") } explodeCigarOpLengths <- function(cigar, ops=CIGAR_OPS) { cigar <- .normarg_cigar(cigar) ops <- .normarg_ops(ops) .Call2("explode_cigar_op_lengths", cigar, ops, PACKAGE="GenomicRanges") } cigarToRleList <- function(cigar) { cigar_ops <- explodeCigarOps(cigar) cigar_op_lengths <- explodeCigarOpLengths(cigar) if (length(cigar) == 0L) { unlisted_cigar_ops <- character(0) unlisted_cigar_op_lengths <- integer(0) } else { unlisted_cigar_ops <- unlist(cigar_ops, use.names=FALSE) unlisted_cigar_op_lengths <- unlist(cigar_op_lengths, use.names=FALSE) } ## Prepare 'ans_flesh'. ans_flesh <- Rle(unlisted_cigar_ops, unlisted_cigar_op_lengths) ## Prepare 'ans_skeleton'. nops_per_cigar <- elementLengths(cigar_op_lengths) ans_breakpoints <- cumsum(unlisted_cigar_op_lengths)[cumsum(nops_per_cigar)] ans_skeleton <- PartitioningByEnd(ans_breakpoints) ## Relist. relist(ans_flesh, ans_skeleton) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Summarize CIGARs ### cigarOpTable <- function(cigar) { cigar <- .normarg_cigar(cigar) ans <- .Call2("cigar_op_table", cigar, PACKAGE="GenomicRanges") stopifnot(identical(CIGAR_OPS, colnames(ans))) # sanity check ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### From CIGARs to ranges ### .cigar_ranges <- function(cigar, flag, space, pos, f, ops, drop.empty.ranges, reduce.ranges, with.ops) { cigar <- .normarg_cigar(cigar) flag <- .normarg_flag(flag, cigar) if (!isSingleNumber(space)) stop("'space' must be a single integer") if (!is.integer(space)) space <- as.integer(space) pos <- .normarg_pos(pos, cigar) if (!is.null(f)) { if (!is.factor(f)) stop("'f' must be NULL or a factor") if (length(f) != length(cigar)) stop("'f' must have the same length as 'cigar'") } ops <- .normarg_ops(ops) if (!isTRUEorFALSE(drop.empty.ranges)) stop("'drop.empty.ranges' must be TRUE or FALSE") if (!isTRUEorFALSE(reduce.ranges)) stop("'reduce.ranges' must be TRUE or FALSE") if (!isTRUEorFALSE(with.ops)) stop("'with.ops' must be TRUE or FALSE") .Call2("cigar_ranges", cigar, flag, space, pos, f, ops, drop.empty.ranges, reduce.ranges, with.ops, PACKAGE="GenomicRanges") } cigarRangesAlongReferenceSpace <- function(cigar, flag=NULL, N.regions.removed=FALSE, pos=1L, f=NULL, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) { space <- .select_reference_space(N.regions.removed) C_ans <- .cigar_ranges(cigar, flag, space, pos, f, ops, drop.empty.ranges, reduce.ranges, with.ops) if (is.null(f)) return(C_ans) compress <- length(C_ans) >= 200L IRangesList(C_ans, compress=compress) } cigarRangesAlongQuerySpace <- function(cigar, flag=NULL, before.hard.clipping=FALSE, after.soft.clipping=FALSE, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) { space <- .select_query_space(before.hard.clipping, after.soft.clipping) .cigar_ranges(cigar, flag, space, 1L, NULL, ops, drop.empty.ranges, reduce.ranges, with.ops) } cigarRangesAlongPairwiseSpace <- function(cigar, flag=NULL, N.regions.removed=FALSE, dense=FALSE, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) { space <- .select_pairwise_space(N.regions.removed, dense) .cigar_ranges(cigar, flag, space, 1L, NULL, ops, drop.empty.ranges, reduce.ranges, with.ops) } ### A convenience wrapper to cigarRangesAlongReferenceSpace(). extractAlignmentRangesOnReference <- function(cigar, pos=1L, drop.D.ranges=FALSE, f=NULL) { if (!isTRUEorFALSE(drop.D.ranges)) stop("'drop.D.ranges' must be TRUE or FALSE") ## Not sure why we include "I" operations here since they don't generate ## coverage on the reference (they always produce zero-width ranges on the ## reference). Anyway, this is what old cigarToIRangesListByAlignment() ## and cigarToIRangesListByRName() have been doing for a while so ## extractAlignmentRangesOnReference() (which replaces them) does the same. if (drop.D.ranges) { ops <- c("M", "=", "X", "I") } else { ops <- c("M", "=", "X", "I", "D") } cigarRangesAlongReferenceSpace(cigar, flag=NULL, pos=pos, f=f, ops=ops, drop.empty.ranges=FALSE, reduce.ranges=TRUE) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### From CIGARs to sequence lengths ### .cigar_width <- function(cigar, flag, space) { cigar <- .normarg_cigar(cigar) flag <- .normarg_flag(flag, cigar) if (!isSingleNumber(space)) stop("'space' must be a single integer") if (!is.integer(space)) space <- as.integer(space) .Call2("cigar_width", cigar, flag, space, PACKAGE="GenomicRanges") } cigarWidthAlongReferenceSpace <- function(cigar, flag=NULL, N.regions.removed=FALSE) { space <- .select_reference_space(N.regions.removed) .cigar_width(cigar, flag, space) } cigarWidthAlongQuerySpace <- function(cigar, flag=NULL, before.hard.clipping=FALSE, after.soft.clipping=FALSE) { space <- .select_query_space(before.hard.clipping, after.soft.clipping) .cigar_width(cigar, flag, space) } cigarWidthAlongPairwiseSpace <- function(cigar, flag=NULL, N.regions.removed=FALSE, dense=FALSE) { space <- .select_pairwise_space(N.regions.removed, dense) .cigar_width(cigar, flag, space) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Narrow CIGARs ### cigarNarrow <- function(cigar, start=NA, end=NA, width=NA) { cigar_width <- cigarWidthAlongReferenceSpace(cigar) cigar_ranges <- IRanges(start=rep.int(1L, length(cigar_width)), width=cigar_width) threeranges <- threebands(cigar_ranges, start=start, end=end, width=width) C_ans <- .Call2("cigar_narrow", cigar, width(threeranges$left), width(threeranges$right), PACKAGE="GenomicRanges") ans <- C_ans[[1L]] attr(ans, "rshift") <- C_ans[[2L]] ans } cigarQNarrow <- function(cigar, start=NA, end=NA, width=NA) { cigar_qwidth <- cigarWidthAlongQuerySpace(cigar) cigar_qranges <- IRanges(start=rep.int(1L, length(cigar_qwidth)), width=cigar_qwidth) threeranges <- threebands(cigar_qranges, start=start, end=end, width=width) C_ans <- .Call2("cigar_qnarrow", cigar, width(threeranges$left), width(threeranges$right), PACKAGE="GenomicRanges") ans <- C_ans[[1L]] attr(ans, "rshift") <- C_ans[[2L]] ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Translate coordinates between query-based and reference-based ### queryLoc2refLoc <- function(qloc, cigar, pos=1L) { stop("NOT IMPLEMENTED YET, SORRY!") } queryLocs2refLocs <- function(qlocs, cigar, pos=1L, flag=NULL) { stop("NOT IMPLEMENTED YET, SORRY!") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Old stuff (deprecated & defunct) ### splitCigar <- function(cigar) { msg <- " splitCigar() is deprecated." .Deprecated(msg=msg) cigar <- .normarg_cigar(cigar) .Call2("split_cigar", cigar, PACKAGE="GenomicRanges") } cigarToIRanges <- function(cigar, drop.D.ranges=FALSE, drop.empty.ranges=FALSE, reduce.ranges=TRUE) { .Deprecated("extractAlignmentRangesOnReference") cigarToIRangesListByAlignment(cigar, drop.D.ranges=drop.D.ranges, drop.empty.ranges=drop.empty.ranges, reduce.ranges=reduce.ranges)[[1L]] } ### 2 wrappers to cigarRangesAlongReferenceSpace() with ugly names. Used ### internally in the GenomicRanges package for turning a GAlignments object ### into a GRangesList object and/or for extracting the ranges that generate ### coverage on the reference. cigarToIRangesListByAlignment <- function(cigar, pos=1L, flag=NULL, drop.D.ranges=FALSE, drop.empty.ranges=FALSE, reduce.ranges=TRUE) { .Deprecated("extractAlignmentRangesOnReference") if (!isTRUEorFALSE(drop.D.ranges)) stop("'drop.D.ranges' must be TRUE or FALSE") ## It doesn't really make sense to include "I" operations here since they ## don't generate coverage on the reference (they always produce zero-width ## ranges on the reference). Anyway, this is what ## cigarToIRangesListByAlignment() has been doing for a while. if (drop.D.ranges) { ops <- c("M", "=", "X", "I") } else { ops <- c("M", "=", "X", "I", "D") } cigarRangesAlongReferenceSpace(cigar, flag=flag, pos=pos, ops=ops, drop.empty.ranges=drop.empty.ranges, reduce.ranges=reduce.ranges) } cigarToIRangesListByRName <- function(cigar, rname, pos=1L, flag=NULL, drop.D.ranges=FALSE, drop.empty.ranges=FALSE, reduce.ranges=TRUE) { .Deprecated("extractAlignmentRangesOnReference") if (!is.factor(rname)) stop("'rname' must be a factor") if (length(rname) != length(cigar)) stop("'rname' must have the same length as 'cigar'") if (!isTRUEorFALSE(drop.D.ranges)) stop("'drop.D.ranges' must be TRUE or FALSE") ## It doesn't really make sense to include "I" operations here since they ## don't generate coverage on the reference (they always produce zero-width ## ranges on the reference). Anyway, this is what ## cigarToIRangesListByRName() has been doing for a while and the unit ## tests expect this. if (drop.D.ranges) { ops <- c("M", "=", "X", "I") } else { ops <- c("M", "=", "X", "I", "D") } cigarRangesAlongReferenceSpace(cigar, flag=flag, pos=pos, f=rname, ops=ops, drop.empty.ranges=drop.empty.ranges, reduce.ranges=reduce.ranges) } cigarToWidth <- function(...) { .Deprecated("cigarWidthAlongReferenceSpace") cigarWidthAlongReferenceSpace(...) } cigarToQWidth <- function(...) { .Deprecated("cigarWidthAlongQuerySpace") cigarWidthAlongQuerySpace(...) } cigarToCigarTable <- function(cigar) { msg <- c(" cigarToCigarTable() is deprecated.", "Please use 'table(cigar)' instead.") .Deprecated(msg=paste0(msg, collapse=" ")) if (is.character(cigar)) cigar <- factor(cigar) else if (!is.factor(cigar)) stop("'cigar' must be a character vector/factor") basicTable <- table(cigar) tableOrder <- order(basicTable, decreasing=TRUE) cigar <- factor(cigar, levels = levels(cigar)[tableOrder]) basicTable <- basicTable[tableOrder] DataFrame(cigar = cigarToRleList(levels(cigar)), count = as.integer(basicTable)) } ### summarizeCigarTable() is broken: ### ### > summarizeCigarTable(cigarToCigarTable(c("55M", "5M3I40M"))) ### Error in data.frame(subject = subjectHits(findOverlaps(IRanges(unlist(x[["cigar"]] == : ### arguments imply differing number of rows: 0, 1 ### ### In addition, what it's supposed to do and to return is not really ### documented, its implementation is kind of cryptic, and it doesn't seem ### very useful anyway (hard to know exactly without more details about what ### it does though). I doubt a lot of people have tried to use it ==> Probably ### not worth fixing/maintaining. summarizeCigarTable <- function(x) { msg <- " summarizeCigarTable() is deprecated." .Deprecated(msg=msg) alignedCharacters <- table(rep.int(elementLengths(x[["cigar"]]), x[["count"]]), rep.int(viewSums(Views(unlist(x[["cigar"]] == "M"), as(x[["cigar"]]@partitioning, "IRanges"))) == elementLengths(x[["cigar"]]), x[["count"]])) tabledAlignedCharacters <- as(rev(colSums(alignedCharacters)), "integer") names(tabledAlignedCharacters) <- unname(c("TRUE" = "AllAligned", "FALSE" = "SomeNonAligned")[names(tabledAlignedCharacters)]) indelHits <- rbind(data.frame(subject = subjectHits(findOverlaps(IRanges(unlist(x[["cigar"]] == "D")), x[["cigar"]]@partitioning)), type = factor("D", levels = c("D", "I"))), data.frame(subject = subjectHits(findOverlaps(IRanges(unlist(x[["cigar"]] == "I")), x[["cigar"]]@partitioning)), type = factor("I", levels = c("D", "I")))) tabledIndelHits <- table(indelHits[,1], indelHits[,2]) tabledIndelHits <- tabledIndelHits[rep.int(seq_len(nrow(tabledIndelHits)), x[["count"]][as.integer(rownames(tabledIndelHits))]), , drop = FALSE] tabledIndelHits <- as(table(tabledIndelHits[,"D"], tabledIndelHits[,"I"]), "matrix") rownames(tabledIndelHits) <- paste("D", rownames(tabledIndelHits), sep = "") colnames(tabledIndelHits) <- paste("I", colnames(tabledIndelHits), sep = "") if (!("D0" %in% rownames(tabledIndelHits))) tabledIndelHits <- rbind("D0" = rep.int(0L, ncol(tabledIndelHits)), tabledIndelHits) if (!("I0" %in% colnames(tabledIndelHits))) tabledIndelHits <- cbind("I0" = rep.int(0L, nrow(tabledIndelHits)), tabledIndelHits) tabledIndelHits["D0", "I0"] <- nrow(x) - sum(tabledIndelHits[-1]) list("AlignedCharacters" = tabledAlignedCharacters, "Indels" = tabledIndelHits) } GenomicRanges/R/constraint.R0000644000126300012640000001212212227070333017363 0ustar00biocbuildphs_compbio### ========================================================================= ### Enforcing constraints thru Constraint objects ### ------------------------------------------------------------------------- ### ### Attaching a Constraint object to an object of class A (the "constrained" ### object) is meant to be a convenient/reusable/extensible way to enforce ### a particular set of constraints on particular instances of A. It's an ### alternative to the more traditional approach that consists in creating ### subclasses of A and implementing specific validity methods for each of ### them. However, using constraints offers the following advantages over the ### traditional approach: ### (a) The traditional approach often tends to lead to a proliferation ### of subclasses of A. ### (b) Constraints can easily be re-used across different classes without ### the need to create any new class. ### (c) Constraints can easily be combined. ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constraint objects. ### ### Virtual class with no slots. setClass("Constraint", representation("VIRTUAL")) ### Like the Constraint virtual class itself, concrete constraint subclasses ### cannot have slots. A Constraint object doesn't need to contain anything ### anyway so by enforcing this we make sure that "combining" constraints ### (i.e. creating a Constraint subclass that extends more than one concrete ### Constraint subclass) always work smoothly (no slot clashes). setValidity2("Constraint", function(x) { if (length(slotNames(x)) != 0L) return("Constraint objects cannot have slots") NULL } ) ### Constrained objects can store a Constraint object (or NULL if no ### constraints) in their 'constraint' slot. setClassUnion("ConstraintORNULL", c("Constraint", "NULL")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### constraint() accessor. ### ### Get or set the Constraint object stored in the constrained object. ### Classes that want to support constraints need to implement methods for ### those 2 generics. setGeneric("constraint", function(x) standardGeneric("constraint")) setGeneric("constraint<-", signature="x", function(x, value) standardGeneric("constraint<-") ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The checkConstraint() generic. ### ### Returns a matrix with 1 signature per row. Less specific signatures are ### guaranteed to be *before* (i.e. lower row index) the more specific ones. .nextCheckConstraintSignatures <- function(xClass, constraintClass) { ## Loosely inspired by validObject(). xClassDef <- getClassDef(xClass) xAncestors <- sapply(xClassDef@contains, slot, "superClass") xAncestors <- c("ANY", rev(xAncestors), xClass) constraintClassDef <- getClassDef(constraintClass) constraintAncestors <- sapply(constraintClassDef@contains, slot, "superClass") constraintAncestors <- c("ANY", rev(constraintAncestors), constraintClass) signatures <- NULL for (class1 in xAncestors) { for (class2 in constraintAncestors) { methodDef <- selectMethod("checkConstraint", c(class1, class2), optional=TRUE, doCache=TRUE) if (!is.null(methodDef)) signatures <- rbind(signatures, methodDef@defined) } } unique(signatures) } ### The checkConstraint() generic function implements its own dispatch ### algorithm. Like validity methods, "checkConstraint" methods must return ### NULL or a character vector describing the problems found. suppressWarnings( setGeneric("checkConstraint", signature=c("x", "constraint"), function(x, constraint, verbose=FALSE) { errors <- NULL signatures <- .nextCheckConstraintSignatures(class(x), class(constraint)) if (is.null(signatures)) return(errors) ## We check from less specific to more specific constraints. for (i in seq_len(nrow(signatures))) { sig <- signatures[i, ] sigString <- paste(names(sig), paste0('"', sig, '"'), sep="=", collapse=", ") if (verbose) message("Calling \"checkConstraint\" method for\n", " ", sigString) method <- getMethod("checkConstraint", sig) errors <- method(x, constraint) if (length(errors) != 0L) { errors <- paste0("from \"checkConstraint\" method for c(", sigString, "): ", errors) ## If a constraint is not satisfied, we don't check the ## remaining constraints (so when implementing a constraint ## a developper can assume that the less specific constraints ## are satisfied). break } } errors } ) ) GenomicRanges/R/coverage-methods.R0000644000126300012640000000722412233570550020445 0ustar00biocbuildphs_compbio### ========================================================================= ### coverage methods ### ------------------------------------------------------------------------- ### ### TODO: Merge with Biostrings:::.V_recycle() and put in IRanges. .recycle <- function(x, skeleton_len, x.label, skeleton.label) { x_len <- length(x) if (x_len == skeleton_len) return(x) if (x_len < skeleton_len) { if (x_len == 0L) stop("cannot recycle zero-length '", x.label, "' ", "to the length of '", skeleton.label, "'") } else { if (x_len >= 2L) stop("'", x.label, "' is longer than '", skeleton.label, "'") } if (skeleton_len %% x_len != 0L) warning("'", x.label, "' length is not a divisor ", "of '", skeleton.label, "' length") rep(x, length.out=skeleton_len) } ### Returns a list-like object. .normarg_shift_or_weight <- function(arg, arg.label, x) { if (is.list(arg) || is(arg, "List")) { if (!identical(names(arg), seqlevels(x))) stop("when '", arg.label, "' is a list-like object, it must ", "have 1 list element per seqlevel in 'x', and its names ", "must be exactly 'seqlevels(x)'") return(arg) } if (isSingleString(arg)) { x_mcols <- mcols(x) if (!is(x_mcols, "DataTable") || sum(colnames(x_mcols) == arg) != 1L) stop("'mcols(x)' has 0 or more than 1 \"", arg, "\" columns") arg <- x_mcols[ , arg] } if (!is.numeric(arg)) stop("'", arg.label, "' must be a numeric vector, a single string, ", "or a list-like object") split(.recycle(arg, length(x), arg.label, "x"), seqnames(x)) } setMethod("coverage", "GenomicRanges", function(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash")) { ## Normalize 'shift'. shift <- .normarg_shift_or_weight(shift, "shift", x) ## Just handle the default 'width' here. Non default will be checked ## in IRanges:::.CompressedIRangesList.coverage(). if (is.null(width)) width <- seqlengths(x) ## Normalize 'weight'. weight <- .normarg_shift_or_weight(weight, "weight", x) x_ranges_list <- split(ranges(x), seqnames(x)) circle.length <- seqlengths(x) circle.length[!(isCircular(x) %in% TRUE)] <- NA_integer_ IRanges:::.CompressedIRangesList.coverage(x_ranges_list, shift=shift, width=width, weight=weight, circle.length=circle.length, method=method, x_names.label="'seqlevels(x)'") } ) setMethod("coverage", "GRangesList", function(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash")) { coverage(x@unlistData, shift=shift, width=width, weight=weight, method=method) } ) setMethod("coverage", "GAlignments", function(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash"), drop.D.ranges=FALSE) coverage(grglist(x, drop.D.ranges=drop.D.ranges), shift=shift, width=width, weight=weight, method=method) ) setMethod("coverage", "GAlignmentPairs", function(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash"), drop.D.ranges=FALSE) coverage(grglist(x, drop.D.ranges=drop.D.ranges), shift=shift, width=width, weight=weight, method=method) ) GenomicRanges/R/encodeOverlaps-methods.R0000644000126300012640000007310312227070333021617 0ustar00biocbuildphs_compbio### ========================================================================= ### encodeOverlaps methods and related utilities ### ------------------------------------------------------------------------- ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### .isWrongStrand() internal helper. ### .oneValPerTopLevelElt <- function(x, errmsg) { if (!is(x, "RleList")) stop("'x' must be an RleList object") vals <- runValue(x) elt_lens <- elementLengths(vals) if (!all(elt_lens == 1L)) stop(errmsg) unlist(vals, use.names=FALSE) } .isWrongStrand <- function(query, subject, hits) { if (!is(query, "GRangesList") || !is(subject, "GRangesList")) stop("'query' and 'subject' must be GRangesList objects") ## Extract the top-level strand and seqnames of the query. errmsg <- c("some alignments in 'query' have ranges on ", "more than 1 reference sequence (fusion reads?)") query_seqnames <- .oneValPerTopLevelElt(seqnames(query), errmsg) errmsg <- c("some alignments in 'query' have ranges on ", "both strands") query_strand <- .oneValPerTopLevelElt(strand(query), errmsg) ## Extract the top-level strand and seqnames of the subject. errmsg <- c("some transcripts in 'subject' mix exons from ", "different chromosomes (trans-splicing?)") subject_seqnames <- .oneValPerTopLevelElt(seqnames(subject), errmsg) errmsg <- c("some transcripts in 'subject' mix exons from ", "both strands (trans-splicing?)") subject_strand <- .oneValPerTopLevelElt(strand(subject), errmsg) ## Expand the top-level strand and seqnames of the query and subject. if (!is.null(hits)) { if (!is(hits, "Hits")) stop("'hits' must be NULL or a Hits object") if (queryLength(hits) != length(query) || subjectLength(hits) != length(subject)) stop("'hits' is not compatible with 'query' and 'subject' ", "('queryLength(hits)' and 'subjectLength(hits)' don't ", "match the lengths of 'query' and 'subject')") query_seqnames <- query_seqnames[queryHits(hits)] query_strand <- query_strand[queryHits(hits)] subject_seqnames <- subject_seqnames[subjectHits(hits)] subject_strand <- subject_strand[subjectHits(hits)] } ## Should never happen if 'encodeOverlaps(query, subject, hits)' ## was called with 'hits' being the result of a call to ## 'findOverlaps(query, subject)'. if (!all(query_seqnames == subject_seqnames)) stop("cannot use 'flip.query.if.wrong.strand=TRUE' to ", "encode overlaps across chromosomes") query_strand != subject_strand } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### 2 non-exported utilities for inverting the strand of an object. ### ### TODO: We should probably have an invertStrand() generic with methods for ### GRanges, GRangesList, GAlignments, GAlignmentPairs, and possibly more, ### instead of this. ### Works on GRanges and GAlignments objects. More generally, it should ### work on any object that has: (1) a strand() getter that returns a ### 'factor'-Rle, and (2) a strand() setter. invertRleStrand <- function(x) { x_strand <- strand(x) runValue(x_strand) <- strand(runValue(x_strand) == "+") strand(x) <- x_strand x } invertRleListStrand <- function(x) { x@unlistData <- invertRleStrand(x@unlistData) x } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### flipQuery() ### flipQuery <- function(x, i) { if (!is(x, "GRangesList")) stop("'x' must be a GRangesList object") if (missing(i)) i <- seq_len(length(x)) else i <- IRanges:::normalizeSingleBracketSubscript(i, x) xi <- x[i] x[i] <- invertRleListStrand(revElements(xi)) xi_query.break <- mcols(xi)$query.break if (!is.null(xi_query.break)) { revxi_query.break <- elementLengths(xi) - xi_query.break mcols(x)$query.break[i] <- revxi_query.break } x } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Should we use a generic + methods for this? ### .get_GRanges_spaces <- function(x) { ans <- as.integer(seqnames(x)) x_strand <- as.integer(strand(x)) is_minus <- which(x_strand == as.integer(strand("-"))) ans[is_minus] <- - ans[is_minus] ans } .get_GRangesList_spaces <- function(x) { unlisted_ans <- .get_GRanges_spaces(x@unlistData) as.list(relist(unlisted_ans, x)) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### "encodeOverlaps" methods. ### .GRangesList_encodeOverlaps <- function(query, subject, hits, flip.query.if.wrong.strand) { if (!isTRUEorFALSE(flip.query.if.wrong.strand)) stop("'flip.query.if.wrong.strand' must be TRUE or FALSE") seqinfo <- merge(seqinfo(query), seqinfo(subject)) seqlevels(query) <- seqlevels(subject) <- seqlevels(seqinfo) if (flip.query.if.wrong.strand) { flip.query <- .isWrongStrand(query, subject, hits) } else { flip.query <- NULL } query.breaks <- mcols(query)$query.break RangesList_encodeOverlaps(as.list(start(query)), as.list(width(query)), as.list(start(subject)), as.list(width(subject)), hits, flip.query, query.spaces=.get_GRangesList_spaces(query), subject.spaces=.get_GRangesList_spaces(subject), query.breaks=query.breaks) } setMethod("encodeOverlaps", c("GRangesList", "GRangesList"), function(query, subject, hits=NULL, flip.query.if.wrong.strand=FALSE) .GRangesList_encodeOverlaps(query, subject, hits, flip.query.if.wrong.strand) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### selectEncodingWithCompatibleStrand(). ### selectEncodingWithCompatibleStrand <- function(ovencA, ovencB, query.strand, subject.strand, hits=NULL) { if (!is(ovencA, "OverlapEncodings")) stop("'ovencA' must be an OverlapEncodings object") if (!is(ovencB, "OverlapEncodings")) stop("'ovencB' must be an OverlapEncodings object") if (!is.null(hits)) { if (!is(hits, "Hits")) stop("'hits' must be a Hits object or NULL") query.strand <- query.strand[queryHits(hits)] subject.strand <- subject.strand[subjectHits(hits)] } ans <- ovencA names(ans) <- NULL mcols(ans) <- NULL is_wrong_strand <- query.strand != subject.strand idx <- which(is_wrong_strand) ans@Loffset[idx] <- ovencB@Loffset[idx] ans@Roffset[idx] <- ovencB@Roffset[idx] ans_encoding <- as.character(ans@encoding) ans_encoding[idx] <- as.character(ovencB@encoding[idx]) ans@encoding <- as.factor(ans_encoding) ans@flippedQuery[is_wrong_strand] <- TRUE ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### isCompatibleWithSplicing(). ### .build_compatible_encoding_patterns <- function(ngap) { ## Each "atom" must match exactly 1 code in the encoding. ATOM0 <- "[fgij]" if (ngap == 0L) return(ATOM0) #ntimes <- function(atom, n) rep.int(atom, n) ntimes <- function(atom, n) { if (n == 1L) atom else c(atom, "{", n, "}") } LEFT_ATOM <- "[jg]" MIDDLE_ATOM <- "g" RIGHT_ATOM <- "[gf]" WILDCARD_ATOM <- "[^:-]" sapply(seq_len(ngap + 1L), function(i) { if (i == 1L) { atoms <- c(LEFT_ATOM, ntimes(WILDCARD_ATOM, ngap)) } else if (i == ngap + 1L) { atoms <- c(ntimes(WILDCARD_ATOM, ngap), RIGHT_ATOM) } else { atoms <- c(ntimes(WILDCARD_ATOM, i-1L), MIDDLE_ATOM, ntimes(WILDCARD_ATOM, ngap-i+1L)) } paste0(atoms, collapse="") }) } setGeneric("isCompatibleWithSplicing", function(x) standardGeneric("isCompatibleWithSplicing") ) .build_CompatibleWithSplicing_pattern0 <- function(max.ngap1, max.Lngap, max.Rngap) { ## Subpattern for single-end reads. subpattern1 <- sapply(0:max.ngap1, function(ngap) paste0(.build_compatible_encoding_patterns(ngap), collapse=":")) subpattern1 <- paste0(":(", paste0(subpattern1, collapse="|"), "):") ## Subpattern for paired-end reads. Lsubpattern <- sapply(0:max.Lngap, function(ngap) paste0(":", .build_compatible_encoding_patterns(ngap), "-", collapse="-[^:-]*")) Lsubpattern <- paste0("(", paste0(Lsubpattern, collapse="|"), ")") Rsubpattern <- sapply(0:max.Rngap, function(ngap) paste0("-", .build_compatible_encoding_patterns(ngap), ":", collapse="[^:-]*-")) Rsubpattern <- paste0("(", paste0(Rsubpattern, collapse="|"), ")") LRsubpattern <- paste0(Lsubpattern, ".*", Rsubpattern) ## Final pattern. paste0("(", subpattern1, "|", LRsubpattern, ")") } .build_CompatibleWithSplicing_pattern <- function(x) { ngap <- ngap(x) Lngap <- Lngap(x) Rngap <- Rngap(x) max.ngap1 <- max(c(0L, ngap[is.na(Lngap)])) max.Lngap <- max(c(0L, Lngap), na.rm=TRUE) max.Rngap <- max(c(0L, Rngap), na.rm=TRUE) .build_CompatibleWithSplicing_pattern0(max.ngap1, max.Lngap, max.Rngap) } .isCompatibleWithSplicing <- function(x) { if (!is.character(x)) stop("'x' must be a character vector") pattern <- .build_CompatibleWithSplicing_pattern(x) grepl(pattern, x) } .whichCompatibleWithSplicing <- function(x) { if (!is.character(x)) stop("'x' must be a character vector") pattern <- .build_CompatibleWithSplicing_pattern(x) grep(pattern, x) } setMethod("isCompatibleWithSplicing", "character", .isCompatibleWithSplicing) setMethod("isCompatibleWithSplicing", "factor", function(x) { if (length(x) == 0L) return(logical(0)) idx <- .whichCompatibleWithSplicing(levels(x)) as.integer(x) %in% idx } ) setMethod("isCompatibleWithSplicing", "OverlapEncodings", function(x) isCompatibleWithSplicing(encoding(x)) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### isCompatibleWithSkippedExons(). ### setGeneric("isCompatibleWithSkippedExons", signature="x", function(x, max.skipped.exons=NA) standardGeneric("isCompatibleWithSkippedExons") ) .build_CompatibleWithSkippedExons_pattern0 <- function(max.ngap1, max.Lngap, max.Rngap, max.skipped.exons=NA) { if (!identical(max.skipped.exons, NA)) stop("only 'max.skipped.exons=NA' is supported for now, sorry") ## Subpattern for single-end reads. skipped_exons_subpatterns <- c(":(.:)*", ":(..:)*", ":(...:)*", ":(....:)*") subpattern1 <- sapply(0:max.ngap1, function(ngap) paste0(.build_compatible_encoding_patterns(ngap), collapse=skipped_exons_subpatterns[ngap+1L])) subpattern1 <- paste0(":(", paste0(subpattern1, collapse="|"), "):") ## Subpattern for paired-end reads. Lsubpattern <- sapply(0:max.Lngap, function(ngap) paste0(":", .build_compatible_encoding_patterns(ngap), "-", collapse=".*")) Lsubpattern <- paste0("(", paste0(Lsubpattern, collapse="|"), ")") Rsubpattern <- sapply(0:max.Rngap, function(ngap) paste0("-", .build_compatible_encoding_patterns(ngap), ":", collapse=".*")) Rsubpattern <- paste0("(", paste0(Rsubpattern, collapse="|"), ")") LRsubpattern <- paste0(Lsubpattern, ".*", Rsubpattern) ## Final pattern. paste0("(", subpattern1, "|", LRsubpattern, ")") } .build_CompatibleWithSkippedExons_pattern <- function(x, max.skipped.exons=NA) { ngap <- ngap(x) Lngap <- Lngap(x) Rngap <- Rngap(x) max.ngap1 <- max(c(0L, ngap[is.na(Lngap)])) max.Lngap <- max(c(0L, Lngap), na.rm=TRUE) max.Rngap <- max(c(0L, Rngap), na.rm=TRUE) .build_CompatibleWithSkippedExons_pattern0(max.ngap1, max.Lngap, max.Rngap, max.skipped.exons=max.skipped.exons) } .isCompatibleWithSkippedExons <- function(x, max.skipped.exons=NA) { if (!is.character(x)) stop("'x' must be a character vector") pattern1 <- .build_CompatibleWithSkippedExons_pattern(x, max.skipped.exons) pattern2 <- .build_CompatibleWithSplicing_pattern(x) grepl(pattern1, x) & !grepl(pattern2, x) } .whichCompatibleWithSkippedExons <- function(x, max.skipped.exons=NA) { if (!is.character(x)) stop("'x' must be a character vector") pattern1 <- .build_CompatibleWithSkippedExons_pattern(x, max.skipped.exons) pattern2 <- .build_CompatibleWithSplicing_pattern(x) setdiff(grep(pattern1, x), grep(pattern2, x)) } setMethod("isCompatibleWithSkippedExons", "character", .isCompatibleWithSkippedExons ) setMethod("isCompatibleWithSkippedExons", "factor", function(x, max.skipped.exons=NA) { if (length(x) == 0L) return(logical(0)) idx <- .whichCompatibleWithSkippedExons(levels(x), max.skipped.exons=max.skipped.exons) as.integer(x) %in% idx } ) setMethod("isCompatibleWithSkippedExons", "OverlapEncodings", function(x, max.skipped.exons=NA) isCompatibleWithSkippedExons(encoding(x), max.skipped.exons=max.skipped.exons) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### extractSteppedExonRanks(). ### .extract_ngap_from_encoding <- function(x) { as.integer(unlist(strsplit(sub(":.*", "", x), "--", fixed=TRUE), use.names=FALSE)) - 1L } .extractSteppedExonRanksFromEncodingBlocks <- function(encoding_blocks, encoding_patterns) { patterns <- paste0("^", encoding_patterns, "$") ii <- lapply(patterns, grep, encoding_blocks) ii_elt_lens <- elementLengths(ii) if (any(ii_elt_lens == 0L)) return(integer(0)) if (any(ii_elt_lens != 1L)) stop("cannot unambiguously extract stepped exon ranks from ", "encoding \"", paste0(encoding_blocks, collapse=":"), "\"") ans <- unlist(ii, use.names=FALSE) diff_ans <- diff(ans) if (any(diff_ans <= 0L)) return(integer(0)) ans } ### 'encoding' must be a single encoding. ### Returns a sorted integer vector, unnamed and strictly sorted if single-end ### read, named and not necessarily strictly sorted if paired-end read (last ### exon stepped by the left end can be the same as first exon stepped by right ### end). .extractSteppedExonRanks <- function(encoding, for.query.right.end=FALSE) { if (!isTRUEorFALSE(for.query.right.end)) stop("'for.query.right.end' must be TRUE or FALSE") encoding_blocks <- strsplit(encoding, ":", fixed=TRUE)[[1L]] ngap <- .extract_ngap_from_encoding(encoding_blocks[1L]) encoding_blocks <- encoding_blocks[-1L] if (length(ngap) == 1L) { ## Single-end read. if (for.query.right.end) stop("cannot use 'for.query.right.end=TRUE' ", "on single-end encoding: ", encoding) encoding_patterns <- .build_compatible_encoding_patterns(ngap) return(.extractSteppedExonRanksFromEncodingBlocks(encoding_blocks, encoding_patterns)) } if (length(ngap) != 2L) # should never happen stop(encoding, ": invalid encoding") ## Paired-end read. encoding_blocks <- strsplit(encoding_blocks, "--", fixed=TRUE) if (!all(elementLengths(encoding_blocks) == 2L)) # should never happen stop(encoding, ": invalid encoding") encoding_blocks <- matrix(unlist(encoding_blocks, use.names=FALSE), nrow=2L) Lencoding_patterns <- .build_compatible_encoding_patterns(ngap[1L]) Lranks <- .extractSteppedExonRanksFromEncodingBlocks(encoding_blocks[1L, ], Lencoding_patterns) Rencoding_patterns <- .build_compatible_encoding_patterns(ngap[2L]) Rranks <- .extractSteppedExonRanksFromEncodingBlocks(encoding_blocks[2L, ], Rencoding_patterns) if (length(Lranks) == 0L || length(Rranks) == 0L || Lranks[length(Lranks)] > Rranks[1L]) { ranks <- integer(0) names(ranks) <- character(0) return(ranks) } if (for.query.right.end) return(Rranks) # unnamed! (like for a single-end read) names(Rranks) <- rep.int("R", length(Rranks)) names(Lranks) <- rep.int("L", length(Lranks)) c(Lranks, Rranks) } setGeneric("extractSteppedExonRanks", function(x, for.query.right.end=FALSE) standardGeneric("extractSteppedExonRanks") ) setMethod("extractSteppedExonRanks", "character", function(x, for.query.right.end=FALSE) { lapply(x, .extractSteppedExonRanks, for.query.right.end) } ) setMethod("extractSteppedExonRanks", "factor", function(x, for.query.right.end=FALSE) { if (length(x) == 0L) return(list()) ranks <- extractSteppedExonRanks(levels(x), for.query.right.end=for.query.right.end) ranks[as.integer(x)] } ) setMethod("extractSteppedExonRanks", "OverlapEncodings", function(x, for.query.right.end=FALSE) { ranks <- extractSteppedExonRanks(encoding(x), for.query.right.end=for.query.right.end) ranks_elt_lens <- elementLengths(ranks) tmp <- unlist(unname(ranks), use.names=TRUE) # we want the inner names tmp <- tmp + rep.int(Loffset(x), ranks_elt_lens) flevels <- seq_len(length(ranks)) f <- factor(rep.int(flevels, ranks_elt_lens), levels=flevels) unname(split(tmp, f)) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### extractSpannedExonRanks(). ### setGeneric("extractSpannedExonRanks", function(x, for.query.right.end=FALSE) standardGeneric("extractSpannedExonRanks") ) setMethod("extractSpannedExonRanks", "character", function(x, for.query.right.end=FALSE) { .extractRanks <- function(encoding) { ranks <- .extractSteppedExonRanks(encoding, for.query.right.end=for.query.right.end) if (length(ranks) == 0L) return(c(NA_integer_, NA_integer_)) c(ranks[1L], ranks[length(ranks)]) } ranks <- lapply(x, .extractRanks) if (length(ranks) == 0L) { firstSpannedExonRank <- lastSpannedExonRank <- integer(0) } else { ranks <- unlist(ranks, use.names=FALSE) firstSpannedExonRank <- ranks[c(TRUE, FALSE)] lastSpannedExonRank <- ranks[c(FALSE, TRUE)] } data.frame(firstSpannedExonRank=firstSpannedExonRank, lastSpannedExonRank=lastSpannedExonRank, check.names=FALSE, stringsAsFactors=FALSE) } ) setMethod("extractSpannedExonRanks", "factor", function(x, for.query.right.end=FALSE) { if (length(x) == 0L) return(list()) ranks <- extractSpannedExonRanks(levels(x), for.query.right.end=for.query.right.end) ans <- ranks[as.integer(x), , drop=FALSE] rownames(ans) <- NULL ans } ) setMethod("extractSpannedExonRanks", "OverlapEncodings", function(x, for.query.right.end=FALSE) { ranks <- extractSpannedExonRanks(encoding(x), for.query.right.end=for.query.right.end) ranks$firstSpannedExonRank <- ranks$firstSpannedExonRank + Loffset(x) ranks$lastSpannedExonRank <- ranks$lastSpannedExonRank + Loffset(x) ranks } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### extractSkippedExonRanks(). ### setGeneric("extractSkippedExonRanks", function(x, for.query.right.end=FALSE) standardGeneric("extractSkippedExonRanks") ) setMethod("extractSkippedExonRanks", "character", function(x, for.query.right.end=FALSE) { .extractRanks <- function(encoding) { ranks <- .extractSteppedExonRanks(encoding, for.query.right.end=for.query.right.end) if (length(ranks) == 0L) return(ranks) ranks_names <- names(ranks) if (is.null(ranks_names)) # single-end read return(setdiff(ranks[1L]:ranks[length(ranks)], ranks)) ## Paired-end read. ranks <- split(unname(ranks), ranks_names) Lranks <- ranks$L Lranks <- setdiff(Lranks[1L]:Lranks[length(Lranks)], Lranks) Rranks <- ranks$R Rranks <- setdiff(Rranks[1L]:Rranks[length(Rranks)], Rranks) names(Lranks) <- rep.int("L", length(Lranks)) names(Rranks) <- rep.int("R", length(Rranks)) c(Lranks, Rranks) } lapply(x, .extractRanks) } ) setMethod("extractSkippedExonRanks", "factor", function(x, for.query.right.end=FALSE) { if (length(x) == 0L) return(list()) ranks <- extractSkippedExonRanks(levels(x), for.query.right.end=for.query.right.end) ranks[as.integer(x)] } ) setMethod("extractSkippedExonRanks", "OverlapEncodings", function(x, for.query.right.end=FALSE) { ranks <- extractSkippedExonRanks(encoding(x), for.query.right.end=for.query.right.end) ranks_elt_lens <- elementLengths(ranks) tmp <- unlist(unname(ranks), use.names=TRUE) # we want the inner names tmp <- tmp + rep.int(Loffset(x), ranks_elt_lens) flevels <- seq_len(length(ranks)) f <- factor(rep.int(flevels, ranks_elt_lens), levels=flevels) unname(split(tmp, f)) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### extractQueryStartInTranscript(). ### ### TODO: Maybe put this in IRanges and rename it setElementLengths, or even ### better introduce an "elementLengths<-" generic and make this the method ### for CompressedList objects? .setElementLengths <- function(x, elt_lens) { if (!is(x, "CompressedList")) stop("'x' must be a CompressedList object") if (!is.numeric(elt_lens) || length(elt_lens) != length(x)) stop("'elt_lens' must be an integer vector of the same length as 'x'") if (!is.integer(elt_lens)) elt_lens <- as.integer(elt_lens) if (IRanges:::anyMissingOrOutside(elt_lens, lower=0L)) stop("'elt_lens' cannot contain NAs or negative values") x_elt_lens <- elementLengths(x) if (!all(elt_lens <= x_elt_lens)) stop("'all(elt_lens <= elementLengths(x))' must be TRUE") offset <- cumsum(c(0L, x_elt_lens[-length(x_elt_lens)])) ii <- IRanges:::fancy_mseq(elt_lens, offset=offset) x@unlistData <- x@unlistData[ii] x@partitioning@end <- unname(cumsum(elt_lens)) x } ### Returns a data.frame with 1 row per overlap, and 3 integer columns: ### 1. startInTranscript ### 2. firstSpannedExonRank ### 3. startInFirstSpannedExon ### Rows for overlaps that are not "compatible" or "almost compatible" ### contain NAs. extractQueryStartInTranscript <- function(query, subject, hits=NULL, ovenc=NULL, flip.query.if.wrong.strand=FALSE, for.query.right.end=FALSE) { if (!is(query, "GRangesList") || !is(subject, "GRangesList")) stop("'query' and 'subject' must be GRangesList objects") seqinfo <- merge(seqinfo(query), seqinfo(subject)) seqlevels(query) <- seqlevels(subject) <- seqlevels(seqinfo) if (is.null(hits)) { if (length(query) != length(subject)) stop("'query' and 'subject' must have the same length") } else { if (!is(hits, "Hits")) stop("'hits' must be a Hits object or NULL") if (queryLength(hits) != length(query) || subjectLength(hits) != length(subject)) stop("'hits' is not compatible with 'query' and 'subject' ", "('queryLength(hits)' and 'subjectLength(hits)' don't ", "match the lengths of 'query' and 'subject')") query <- query[queryHits(hits)] subject <- subject[subjectHits(hits)] } if (is.null(ovenc)) { ovenc <- encodeOverlaps(query, subject, flip.query.if.wrong.strand=flip.query.if.wrong.strand) } else { if (!is(ovenc, "OverlapEncodings")) stop("'ovenc' must be an OverlapEncodings object") if (length(ovenc) != length(query)) stop("when not NULL, 'ovenc' must have the same length ", "as 'hits', if specified, otherwiseaas 'query'") } if (!isTRUEorFALSE(for.query.right.end)) stop("'for.query.right.end' must be TRUE or FALSE") query <- flipQuery(query, flippedQuery(ovenc)) ## Extract start/end/strand of the first range ## in each top-level element of 'query'. qii1 <- start(query@partitioning) if (for.query.right.end) { query.break <- mcols(query)$query.break if (is.null(query.break)) stop("using 'for.query.right.end=TRUE' requires that ", "'mcols(query)' has a \"query.break\" column ", "indicating for each paired-end read the position of the ", "break between the ranges coming from one end and those ", "coming from the other end") qii1 <- qii1 + query.break } query_start1 <- start(query@unlistData)[qii1] query_end1 <- end(query@unlistData)[qii1] query_strand1 <- as.factor(strand(query@unlistData))[qii1] ## Extract start/end/strand of the first spanned exon ## in each top-level element of 'subject'. exrank <- extractSpannedExonRanks(ovenc, for.query.right.end=for.query.right.end)$firstSpannedExonRank sii1 <- start(subject@partitioning) + exrank - 1L subject_start1 <- start(subject@unlistData)[sii1] subject_end1 <- end(subject@unlistData)[sii1] subject_strand1 <- as.factor(strand(subject@unlistData))[sii1] ## A sanity check. if (any(!is.na(exrank) & (query_strand1 != subject_strand1))) { ## TODO: Error message needs to take into account whether 'hits' ## and/or 'ovenc' was supplied or not. stop("'ovenc' is incompatible with the supplied 'query' ", "and/or 'subject' and/or 'hits'") } ## Compute the "query start in first spanned exon". startInFirstSpannedExon <- rep.int(NA_integer_, length(query)) is_on_plus <- query_strand1 == "+" idx <- which(!is.na(exrank) & is_on_plus) startInFirstSpannedExon[idx] <- query_start1[idx] - subject_start1[idx] + 1L idx <- which(!is.na(exrank) & !is_on_plus) startInFirstSpannedExon[idx] <- subject_end1[idx] - query_end1[idx] + 1L ## Truncate each transcript in 'subject' right before the first spanned ## exon and compute the cumulated width of the truncated object. subject2_elt_lens <- exrank - 1L subject2_elt_lens[is.na(exrank)] <- 0L subject2 <- .setElementLengths(subject, subject2_elt_lens) subject2_cumwidth <- unname(sum(width(subject2))) subject2_cumwidth[is.na(exrank)] <- NA_integer_ ## Compute the "query start in transcript". startInTranscript <- subject2_cumwidth + startInFirstSpannedExon data.frame(startInTranscript=startInTranscript, firstSpannedExonRank=exrank, startInFirstSpannedExon=startInFirstSpannedExon, check.names=FALSE, stringsAsFactors=FALSE) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### High-level convenience wrappers: findCompatibleOverlaps() and ### countCompatibleOverlaps(). ### setGeneric("findCompatibleOverlaps", function(query, subject) standardGeneric("findCompatibleOverlaps") ) .GAlignmentsORGAlignmentPairs.findCompatibleOverlaps <- function(query, subject) { grl <- grglist(query, order.as.in.query=TRUE) ## TODO: Use 'type="within"' when it's supported for circular ## sequences like the mitochondrial chromosome. ov <- findOverlaps(grl, subject, ignore.strand=TRUE) ovenc <- encodeOverlaps(grl, subject, hits=ov, flip.query.if.wrong.strand=TRUE) ov_is_compat <- isCompatibleWithSplicing(ovenc) ov[ov_is_compat] } setMethod("findCompatibleOverlaps", c("GAlignments", "GRangesList"), .GAlignmentsORGAlignmentPairs.findCompatibleOverlaps ) setMethod("findCompatibleOverlaps", c("GAlignmentPairs", "GRangesList"), .GAlignmentsORGAlignmentPairs.findCompatibleOverlaps ) countCompatibleOverlaps <- function(query, subject) { compatov <- findCompatibleOverlaps(query, subject) tabulate(queryHits(compatov), nbins=queryLength(compatov)) } GenomicRanges/R/findOverlaps-GIntervalTree-methods.R0000644000126300012640000000543012232576335024022 0ustar00biocbuildphs_compbiosetMethod("findOverlaps", c("GenomicRanges", "GIntervalTree"), function(query, subject, maxgap=0L, minoverlap=1L, type=c("any","start","end","within","equal"), select=c("all","first","last","arbitrary"), ignore.strand=FALSE) { if (any(isCircular(query), na.rm=TRUE)) stop("'GIntervalTree' not supported for circular sequences") if (!isSingleNumber(maxgap) || maxgap < 0L) stop("'maxgap' must be a non-negative integer") type <- match.arg(type) select <- match.arg(select) ## merge() also checks that 'query' and 'subject' are based on the ## same reference genome. seqinfo <- merge(seqinfo(query), seqinfo(subject)) qidx <- .GT_getIndex(query) qlist <- split(unname(ranges(query)), seqnames(query)) hits <- findOverlaps(qlist, subject@ranges, maxgap=maxgap,minoverlap=minoverlap, type=type,select="all") hits <- hits@unlistData if (is(hits, "Hits")) { .GT_reorderHits <- function(rngidx, hits) { if (length(rngidx)) { idx <- findOverlaps(hits, rngidx, select="first") starts <- as.integer(1+c(0,cumsum(width(rngidx))[-length(rngidx)])) hits <- starts[idx] + hits - start(rngidx)[idx] } hits } new_queryHits <- .GT_reorderHits(qidx, queryHits(hits)) new_subjectHits <- .GT_reorderHits(subject@rngidx, subjectHits(hits)) oo <- IRanges:::orderIntegerPairs(new_queryHits, new_subjectHits) hits@queryHits <- new_queryHits[oo] hits@subjectHits <- new_subjectHits[oo] } else { hits <- .GT_reorderValue(qlist, hits, qidx) } if (!ignore.strand) { q_strand <- .strandAsSignedNumber(strand(query)) s_strand <- .strandAsSignedNumber(strand(subject)) compatible_strand <- q_strand[queryHits(hits)] * s_strand[subjectHits(hits)] != -1L hits <- hits[compatible_strand] } q_hits <- queryHits(hits) s_hits <- subjectHits(hits) q_len <- length(query) s_len <- length(subject) if (select == "arbitrary") { ans <- rep.int(NA_integer_, q_len) ans[q_hits] <- s_hits return(ans) } if (select == "first") { ans <- rep.int(NA_integer_, q_len) oo <- IRanges:::orderIntegerPairs(q_hits, s_hits, decreasing=TRUE) ans[q_hits[oo]] <- s_hits[oo] return(ans) } oo <- IRanges:::orderIntegerPairs(q_hits, s_hits) q_hits <- q_hits[oo] s_hits <- s_hits[oo] if (select == "last") { ans <- rep.int(NA_integer_, q_len) ans[q_hits] <- s_hits return(ans) } new2("Hits", queryHits=q_hits, subjectHits=s_hits, queryLength=q_len, subjectLength=s_len, check=FALSE) }) GenomicRanges/R/findOverlaps-methods.R0000644000126300012640000010555512227070333021311 0ustar00biocbuildphs_compbio### ========================================================================= ### findOverlaps methods ### ------------------------------------------------------------------------- .putRangesOnFirstCircle <- function(x, circle.length) { x_start0 <- start(x) - 1L # 0-based start x_shift0 <- x_start0 %% circle.length - x_start0 shift(x, x_shift0) } ### 'circle.length' must be NA (if the underlying sequence is linear) or the ### length of the underlying circular sequence (integer vector of length 1 ### with the name of the sequence). ### 'query' and 'subject' must be IRanges objects. .findOverlaps.circle <- function(circle.length, query, subject, maxgap, minoverlap, type) { if (is.na(circle.length)) return(findOverlaps(query, subject, maxgap=maxgap, minoverlap=minoverlap, type=type, select="all")) q_len <- length(query) s_len <- length(subject) if (q_len == 0L || s_len == 0L) return(new("Hits", queryLength=q_len, subjectLength=s_len)) if (type != "any") stop("overlap type \"", type, "\" is not yet supported ", "for circular sequence ", names(circle.length)) subject0 <- .putRangesOnFirstCircle(subject, circle.length) inttree0 <- IntervalTree(subject0) query0 <- .putRangesOnFirstCircle(query, circle.length) hits00 <- findOverlaps(query0, inttree0, maxgap=maxgap, minoverlap=minoverlap, type=type, select="all") query1 <- shift(query0, circle.length) hits10 <- findOverlaps(query1, inttree0, maxgap=maxgap, minoverlap=minoverlap, type=type, select="all") subject1 <- shift(subject0, circle.length) hits01 <- findOverlaps(query0, subject1, maxgap=maxgap, minoverlap=minoverlap, type=type, select="all") ## Merge 'hits00', 'hits10' and 'hits01'. union(union(hits00, hits10), hits01) } ### 'x' must be 'strand(query)' or 'strand(subject)'. .strandAsSignedNumber <- function(x) { tmp <- as.integer(runValue(x)) idx <- tmp >= 2L tmp[idx] <- tmp[idx] - 3L runValue(x) <- tmp as.vector(x) } setMethod("findOverlaps", c("GenomicRanges", "GenomicRanges"), function(query, subject, maxgap=0L, minoverlap=1L, type=c("any", "start", "end", "within", "equal"), select=c("all", "first", "last", "arbitrary"), ignore.strand=FALSE) { if (!isSingleNumber(maxgap) || maxgap < 0L) stop("'maxgap' must be a non-negative integer") type <- match.arg(type) select <- match.arg(select) ## merge() also checks that 'query' and 'subject' are based on the ## same reference genome. seqinfo <- merge(seqinfo(query), seqinfo(subject)) q_len <- length(query) s_len <- length(subject) q_seqnames <- seqnames(query) s_seqnames <- seqnames(subject) q_splitranges <- splitRanges(q_seqnames) s_splitranges <- splitRanges(s_seqnames) q_seqlevels_nonempty <- names(q_splitranges)[sapply(q_splitranges, length) > 0] s_seqlevels_nonempty <- names(s_splitranges)[sapply(s_splitranges, length) > 0] q_ranges <- unname(ranges(query)) s_ranges <- unname(ranges(subject)) if (ignore.strand) { q_strand <- rep.int(1L, q_len) s_strand <- rep.int(1L, s_len) } else { q_strand <- .strandAsSignedNumber(strand(query)) s_strand <- .strandAsSignedNumber(strand(subject)) } common_seqlevels <- intersect(q_seqlevels_nonempty, s_seqlevels_nonempty) results <- lapply(common_seqlevels, function(seqlevel) { if (isCircular(seqinfo)[seqlevel] %in% TRUE) { circle.length <- seqlengths(seqinfo)[seqlevel] } else { circle.length <- NA } q_idx <- q_splitranges[[seqlevel]] s_idx <- s_splitranges[[seqlevel]] hits <- .findOverlaps.circle(circle.length, IRanges:::extractROWS(q_ranges, q_idx), IRanges:::extractROWS(s_ranges, s_idx), maxgap, minoverlap, type) q_hits <- queryHits(hits) s_hits <- subjectHits(hits) compatible_strand <- IRanges:::extractROWS(q_strand, q_idx)[q_hits] * IRanges:::extractROWS(s_strand, s_idx)[s_hits] != -1L hits <- hits[compatible_strand] remapHits(hits, query.map=as.integer(q_idx), new.queryLength=q_len, subject.map=as.integer(s_idx), new.subjectLength=s_len) }) ## Combine the results. q_hits <- unlist(lapply(results, queryHits)) if (is.null(q_hits)) q_hits <- integer(0) s_hits <- unlist(lapply(results, subjectHits)) if (is.null(s_hits)) s_hits <- integer(0) if (select == "arbitrary") { ans <- rep.int(NA_integer_, q_len) ans[q_hits] <- s_hits return(ans) } if (select == "first") { ans <- rep.int(NA_integer_, q_len) oo <- IRanges:::orderIntegerPairs(q_hits, s_hits, decreasing=TRUE) ans[q_hits[oo]] <- s_hits[oo] return(ans) } oo <- IRanges:::orderIntegerPairs(q_hits, s_hits) q_hits <- q_hits[oo] s_hits <- s_hits[oo] if (select == "last") { ans <- rep.int(NA_integer_, q_len) ans[q_hits] <- s_hits return(ans) } new2("Hits", queryHits=q_hits, subjectHits=s_hits, queryLength=q_len, subjectLength=s_len, check=FALSE) } ) ### Extract the unique rows from 2-col matrix 'matchMatrix' and return them ### sorted first by 1st col and then by 2nd col (actually the sorting is ### done first and then unique rows are extracted but this is an ### implementation detail since the final result doesn't depend on the ### order in which those things are done). ### TODO: Make this a function of 2 integer vectors (of equal length) and ### move it to IRanges/R/int-utils.R ### TODO: Try to invert the order i.e. first extract unique rows with ### IRanges:::duplicatedIntegerPairs() and then sort them. Could this be ### faster? .cleanMatchMatrix <- function(matchMatrix) { if (nrow(matchMatrix) <= 1L) return(matchMatrix) ## First sort the rows. oo <- IRanges:::orderIntegerPairs(matchMatrix[ , 1L], matchMatrix[ , 2L]) matchMatrix <- matchMatrix[oo, , drop=FALSE] ## Then keep the unique rows. keep <- IRanges:::runEndsOfIntegerPairs(matchMatrix[ , 1L], matchMatrix[ , 2L]) matchMatrix[keep, , drop=FALSE] } .groupSums <- function(x, by) { f <- paste(by[,1], by[,2], sep="|") f <- factor(f, levels=unique(f)) cil <- splitAsList(x, f) # CompressedIntegerList v <- Views(cil@unlistData, cil@partitioning) viewSums(v) } .updateMatchMatrix <- function(matchMatrix, intrsct, minoverlap) { widthSum <- .groupSums(width(intrsct), matchMatrix) is_dup <- IRanges:::duplicatedIntegerPairs(matchMatrix[ , 1L], matchMatrix[ , 2L]) indx <- (widthSum >= minoverlap) matchMatrix <- matchMatrix[!is_dup, , drop=FALSE] matchMatrix <- matchMatrix[indx, , drop=FALSE] } .makeGRL2GRmatchMatrix <- function(mm00, qpartitioning, type.is.within) { query0 <- unname(mm00[ , 1L]) subject0 <- unname(mm00[ , 2L]) oo <- IRanges:::orderIntegerPairs(subject0, query0) mm00 <- mm00[oo, , drop=FALSE] query1 <- togroup(qpartitioning, j=unname(mm00[ , 1L])) subject0 <- unname(mm00[ , 2L]) runend <- IRanges:::runEndsOfIntegerPairs(query1, subject0) mm10 <- cbind(queryHits=query1, subjectHits=subject0)[runend, , drop=FALSE] if (type.is.within) { runlen <- IRanges:::diffWithInitialZero(runend) keep <- width(qpartitioning)[mm10[ , 1L]] == runlen mm10 <- mm10[keep, , drop=FALSE] } mm10 } setMethod("findOverlaps", c("GRangesList", "GenomicRanges"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { if (!IRanges:::isSingleNumber(maxgap) || maxgap < 0) stop("'maxgap' must be a non-negative integer") type <- match.arg(type) select <- match.arg(select) unlistQuery <- unlist(query, use.names = FALSE) queryGroups <- togroup(query) ans <- findOverlaps(unlistQuery, subject, maxgap = maxgap, type = type, select = "all", ignore.strand = ignore.strand) mm00 <- as.matrix(ans) if (minoverlap > 1L && nrow(mm00) > 0L) { query1 <- queryGroups[queryHits(ans)] subject0 <- unname(mm00[ , 2L]) mm10 <- cbind(queryHits=query1, subjectHits=subject0) intrsct <- pintersect(ranges(unlistQuery)[queryHits(ans)], ranges(subject)[subjectHits(ans)]) mm10 <- .updateMatchMatrix(mm10, intrsct, minoverlap) if (type == "within") { ## TODO: Call .makeGRL2GRmatchMatrix() and intersect the ## result with 'mm10'. stop("'type=\"within\"' is not yet supported ", "when 'minoverlap' > 1") } } else { mm10 <- .makeGRL2GRmatchMatrix(mm00, query@partitioning, type == "within") } ## Only for sorting, rows are already unique. ## TODO: Optimize this (.cleanMatchMatrix is also extracting unique ## rows but this is not necessary since they are already unique). mm10 <- .cleanMatchMatrix(mm10) if (select == "all") { initialize(ans, queryHits = unname(mm10[ , 1L]), subjectHits = unname(mm10[ , 2L]), queryLength = length(query), subjectLength = length(subject)) } else { IRanges:::.hitsMatrixToVector(mm10, length(query)) } } ) setMethod("findOverlaps", c("GenomicRanges", "GRangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { if (!IRanges:::isSingleNumber(maxgap) || maxgap < 0) stop("'maxgap' must be a non-negative integer") type <- match.arg(type) select <- match.arg(select) unlistSubject <- unlist(subject, use.names=FALSE) subjectGroups <- togroup(subject) if (type == "start") { keep <- which(IRanges:::diffWithInitialZero(subjectGroups) != 0L) unlistSubject <- unlistSubject[keep] subjectGroups <- subjectGroups[keep] } else if (type == "end") { keep <- end(subject@partitioning)[elementLengths(subject) > 0L] unlistSubject <- unlistSubject[keep] subjectGroups <- subjectGroups[keep] } ans <- findOverlaps(query, unlistSubject, maxgap = maxgap, type = type, select = "all", ignore.strand = ignore.strand) matchMatrix <- as.matrix(ans) if(minoverlap > 1L && nrow(matchMatrix) > 0) { matchMatrix[ , 2L] <- subjectGroups[subjectHits(ans)] intrsct <- pintersect(ranges(query)[queryHits(ans)], ranges(unlistSubject[subjectHits(ans)])) matchMatrix <- .updateMatchMatrix(matchMatrix, intrsct, minoverlap) } else{ matchMatrix[ , 2L] <- subjectGroups[matchMatrix[ , 2L]] matchMatrix <- .cleanMatchMatrix(matchMatrix) } if (select == "all") { initialize(ans, queryHits = unname(matchMatrix[ , 1L]), subjectHits = unname(matchMatrix[ , 2L]), queryLength = length(query), subjectLength = length(subject)) } else { IRanges:::.hitsMatrixToVector(matchMatrix, length(query)) } } ) .makeGRL2GRLmatchMatrix <- function(mm00, qpartitioning, spartitioning, type.is.within) { query0 <- unname(mm00[ , 1L]) subject1 <- togroup(spartitioning, j=unname(mm00[ , 2L])) oo <- IRanges:::orderIntegerPairs(subject1, query0) mm01 <- cbind(queryHits=query0, subjectHits=subject1)[oo, , drop=FALSE] is_dup <- IRanges:::duplicatedIntegerPairs(mm01[ , 1L], mm01[ , 2L]) mm01 <- mm01[!is_dup, , drop=FALSE] query1 <- togroup(qpartitioning, j=unname(mm01[ , 1L])) subject1 <- unname(mm01[ , 2L]) runend <- IRanges:::runEndsOfIntegerPairs(query1, subject1) mm11 <- cbind(queryHits=query1, subjectHits=subject1)[runend, , drop=FALSE] if (type.is.within) { runlen <- IRanges:::diffWithInitialZero(runend) keep <- width(qpartitioning)[mm11[ , 1L]] == runlen mm11 <- mm11[keep, , drop=FALSE] } mm11 } setMethod("findOverlaps", c("GRangesList", "GRangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { if (!IRanges:::isSingleNumber(maxgap) || maxgap < 0) stop("'maxgap' must be a non-negative integer") type <- match.arg(type) select <- match.arg(select) unlistSubject <- unlist(subject, use.names=FALSE) subjectGroups <- togroup(subject) unlistQuery <- unlist(query, use.names = FALSE) queryGroups <- togroup(query) if (type == "start") { keep <- which(IRanges:::diffWithInitialZero(subjectGroups) != 0L) unlistSubject <- unlistSubject[keep] subjectGroups <- subjectGroups[keep] } else if (type == "end") { keep <- end(subject@partitioning)[elementLengths(subject) > 0L] unlistSubject <- unlistSubject[keep] subjectGroups <- subjectGroups[keep] } ans <- findOverlaps(unlistQuery, unlistSubject, maxgap = maxgap, type = type, select = "all", ignore.strand = ignore.strand) mm00 <- as.matrix(ans) if (minoverlap > 1L && nrow(mm00) > 0L) { query1 <- queryGroups[queryHits(ans)] subject1 <- subjectGroups[subjectHits(ans)] mm11 <- cbind(queryHits=query1, subjectHits=subject1) intrsct <- pintersect(ranges(unlistQuery)[queryHits(ans)], ranges(unlistSubject)[subjectHits(ans)]) mm11 <- .updateMatchMatrix(mm11, intrsct, minoverlap) if (type == "within") { ## TODO: Call .makeGRL2GRLmatchMatrix() and intersect the ## result with 'mm11'. stop("'type=\"within\"' is not yet supported ", "when 'minoverlap' > 1") } } else { mm11 <- .makeGRL2GRLmatchMatrix(mm00, query@partitioning, subject@partitioning, type.is.within = type == "within") } ## Only for sorting, rows are already unique. ## TODO: Optimize this (.cleanMatchMatrix is also extracting unique ## rows but this is not necessary since they are already unique). mm11 <- .cleanMatchMatrix(mm11) if (select == "all") { initialize(ans, queryHits = unname(mm11[ , 1L]), subjectHits = unname(mm11[ , 2L]), queryLength = length(query), subjectLength = length(subject)) } else { IRanges:::.hitsMatrixToVector(mm11, length(query)) } } ) setMethod("findOverlaps", c("RangesList", "GenomicRanges"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(as(query, "GRanges"), subject = subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("RangesList", "GRangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(as(query, "GRanges"), subject = subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GenomicRanges", "RangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, as(subject, "GRanges"), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GRangesList", "RangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, as(subject, "GRanges"), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("RangedData", "GenomicRanges"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { ## Calls "findOverlaps" method for c("RangesList", "GenomicRanges") ## defined above. findOverlaps(ranges(query), subject = subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("RangedData", "GRangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { ## Calls "findOverlaps" method for c("RangesList", "GRangesList") ## defined above. findOverlaps(ranges(query), subject = subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GenomicRanges", "RangedData"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { ## Calls "findOverlaps" method for c("GenomicRanges", "RangesList") ## defined above. findOverlaps(query, ranges(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GRangesList", "RangedData"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { ## Calls "findOverlaps" method for c("GRangesList", "RangesList") ## defined above. findOverlaps(query, ranges(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GAlignments", "Vector"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(grglist(query), subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("Vector", "GAlignments"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, grglist(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) ### Not strictly needed! Defining the above 2 methods covers that case but ### with the following note: ### > findOverlaps(al1, al0) ### Note: Method with signature "GAlignments#ANY" chosen for ### function "findOverlaps", target signature ### "GAlignments#GAlignments". ### "ANY#GAlignments" would also be valid setMethod("findOverlaps", c("GAlignments", "GAlignments"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(grglist(query), grglist(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GAlignments", "GRangesList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(grglist(query), subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GRangesList", "GAlignments"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, grglist(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GAlignmentPairs", "Vector"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(as(query, "GRangesList"), subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("Vector", "GAlignmentPairs"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, as(subject, "GRangesList"), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GAlignmentPairs", "GAlignmentPairs"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(as(query, "GRangesList"), as(subject, "GRangesList"), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("SummarizedExperiment", "Vector"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(rowData(query), subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("Vector", "SummarizedExperiment"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(query, rowData(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("SummarizedExperiment", "SummarizedExperiment"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { findOverlaps(rowData(query), rowData(subject), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) } ) setMethod("findOverlaps", c("GAlignmentsList", "Vector"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { hits <- findOverlaps(grglist(unlist(query, use.names = FALSE)), subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) remapHits(hits, query.map=factor(togroup(query))) } ) setMethod("findOverlaps", c("Vector", "GAlignmentsList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { hits <- findOverlaps(query, grglist(unlist(subject, use.names = FALSE)), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) remapHits(hits, subject.map=factor(togroup(subject))) } ) setMethod("findOverlaps", c("GAlignmentsList", "GAlignmentsList"), function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within"), select = c("all", "first"), ignore.strand = FALSE) { hits <- findOverlaps(grglist(unlist(query, use.names = FALSE)), grglist(unlist(subject, use.names = FALSE)), maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = match.arg(select), ignore.strand = ignore.strand) remapHits(hits, subject.map=factor(togroup(subject)), query.map=factor(togroup(query))) } ) ### ========================================================================= ### findOverlaps-based methods ### ------------------------------------------------------------------------- .countOverlaps.definition <- function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) { counts <- queryHits(findOverlaps(query, subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), ignore.strand = ignore.strand)) structure(tabulate(counts, NROW(query)), names=names(query)) } .signatures1 <- list( c("GenomicRanges", "Vector"), c("Vector", "GenomicRanges"), c("GenomicRanges", "GenomicRanges"), c("GRangesList", "Vector"), c("Vector", "GRangesList"), c("GRangesList", "GRangesList"), c("GRanges", "GRangesList"), c("GRangesList", "GRanges"), c("GAlignments", "Vector"), c("Vector", "GAlignments"), c("GAlignments", "GAlignments"), c("GAlignments", "GenomicRanges"), c("GenomicRanges", "GAlignments"), c("GAlignments", "GRangesList"), c("GRangesList", "GAlignments"), c("GAlignmentPairs", "Vector"), c("Vector", "GAlignmentPairs"), c("GAlignmentPairs", "GAlignmentPairs"), c("GAlignmentsList", "Vector"), c("Vector", "GAlignmentsList"), c("GAlignmentsList", "GAlignmentsList"), c("SummarizedExperiment", "Vector"), c("Vector", "SummarizedExperiment"), c("SummarizedExperiment", "SummarizedExperiment") ) setMethods("countOverlaps", .signatures1, .countOverlaps.definition) .overlapsAny.definition <- function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) { !is.na(findOverlaps(query, subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = "first", ignore.strand = ignore.strand)) } .subsetByOverlaps.definition1 <- function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) { query[!is.na(findOverlaps(query, subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = "first", ignore.strand = ignore.strand))] } .subsetByOverlaps.definition2 <- function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) { i <- !is.na(findOverlaps(query, subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = "first", ignore.strand = ignore.strand)) query[seqsplit(i, space(query), drop=FALSE)] } .subsetByOverlaps.definition3 <- function(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) { query[!is.na(findOverlaps(query, subject, maxgap = maxgap, minoverlap = minoverlap, type = match.arg(type), select = "first", ignore.strand = ignore.strand)),] } .signatures2 <- list( c("GenomicRanges", "GenomicRanges"), c("GRangesList", "GenomicRanges"), c("GenomicRanges", "GRangesList"), c("GRangesList", "GRangesList"), c("RangesList", "GenomicRanges"), c("RangesList", "GRangesList"), c("GenomicRanges", "RangesList"), c("GRangesList", "RangesList"), c("RangedData", "GenomicRanges"), c("RangedData", "GRangesList"), c("GenomicRanges", "RangedData"), c("GRangesList", "RangedData"), c("GAlignments", "Vector"), c("Vector", "GAlignments"), c("GAlignments", "GAlignments"), c("GAlignmentPairs", "Vector"), c("Vector", "GAlignmentPairs"), c("SummarizedExperiment", "Vector"), c("Vector", "SummarizedExperiment"), c("SummarizedExperiment", "SummarizedExperiment"), c("GAlignmentsList", "Vector"), c("Vector", "GAlignmentsList"), c("GAlignmentsList", "GAlignmentsList") ) for (sig in .signatures2) { setMethod("overlapsAny", sig, .overlapsAny.definition) if (sig[1L] == "RangesList") setMethod("subsetByOverlaps", sig, .subsetByOverlaps.definition2) else if (sig[1L] %in% c("RangedData", "SummarizedExperiment")) setMethod("subsetByOverlaps", sig, .subsetByOverlaps.definition3) else setMethod("subsetByOverlaps", sig, .subsetByOverlaps.definition1) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### match(), %in%, findMatches(), and countMatches() ### ### All "match" and "%in% methods (except methods for GenomicRanges objects) ### are defunct in BioC 2.13. ### Methods for GenomicRanges have been moved to GenomicRanges-comparison.R ### and their behavior changed to do equality instead of overlaps. .signatures3 <- .signatures2[-1L] .match.definition <- function(x, table, nomatch = NA_integer_, incomparables = NULL) { if (!identical(nomatch, NA_integer_)) stop("'nomatch' arg is not supported") msg <- c("match() between a ", class(x), " and a ", class(table), " object is defunct.\nPlease use '", "findOverlaps(x, table, select=\"first\")", "' instead.") .Defunct(msg=msg) # deprecated in BioC 2.12, defunct in BioC 2.13 } setMethods("match", .signatures3, .match.definition) setMethods("%in%", .signatures3, IRanges:::`.%in%.definition`) ### The only reason for defining the methods below is to prevent the default ### "findMatches" or "countMatches" methods to be called and return something ### wrong (and the reason they would return something wrong is because they ### are based on match() which does overlaps instead of equality). ### TODO: Remove these methods in BioC 2.14 when the "match" methods for all ### the signatures in '.signatures3' are gone. setMethods("findMatches", .signatures3, function(x, table, select=c("all", "first", "last"), ...) { msg <- c("findMatches() between a ", class(x), " and a ", class(table), " object is not supported") stop(msg) } ) setMethods("countMatches", .signatures3, function(x, table, ...) { msg <- c("countMatches() between a ", class(x), " and a ", class(table), " object is not supported") stop(msg) } ) GenomicRanges/R/findSpliceOverlaps-methods.R0000644000126300012640000000645612227070333022451 0ustar00biocbuildphs_compbio### ========================================================================= ### findSpliceOverlaps methods ### ------------------------------------------------------------------------- setGeneric("findSpliceOverlaps", signature=c("query", "subject"), function(query, subject, ignore.strand=FALSE, ...) { standardGeneric("findSpliceOverlaps") }) ## ------------------------------------------------------------------------- ## subject as GRangesList ## setMethod("findSpliceOverlaps", c("GAlignments", "GRangesList"), function(query, subject, ignore.strand=FALSE, ..., cds=NULL) { callGeneric(grglist(query, order.as.in.query=TRUE), subject, ignore.strand, ..., cds=cds) }) setMethod("findSpliceOverlaps", c("GAlignmentPairs", "GRangesList"), function(query, subject, ignore.strand=FALSE, ..., cds=NULL) { ### FIXME: order.as.in.query = FALSE needed for insertGaps(). If we ### really want to use insertGaps(), we need to make it robust to ### different orderings. ### FIXME: ### instead of relying on query.break column, maybe we should add a ### 'splice = .gaps(query)' argument to .findSpliceOverlaps that we ### set to introns(query) here. The downside is that a GRangesList ### derived from GAlignmentPairs will no longer work. callGeneric(grglist(query, order.as.in.query=FALSE), subject, ignore.strand, ..., cds=cds) }) setMethod("findSpliceOverlaps", c("GRangesList", "GRangesList"), function(query, subject, ignore.strand=FALSE, ..., cds=NULL) { .findSpliceOverlaps(query, subject, ignore.strand, cds=cds) }) .findSpliceOverlaps <- function(query, subject, ignore.strand=FALSE, cds=NULL) { ## adjust strand based on 'XS' if (!is.null(xs <- mcols(query)$XS)) { strand <- ifelse(!is.na(xs), xs, "*") strand(query) <- relist(Rle(strand, elementLengths(query)), query) } ## NOTE: this misses reads completely within an intron, but this ## is intentional: a read is only assigned to a transcript if it ## hits an exon. Otherwise, it could be from another gene inside ## an intron (happens frequently). olap <- findOverlaps(query, subject, ignore.strand=ignore.strand) if (length(olap) == 0L) return(.result(olap)) if (!is.null(cds)) { coding <- logical(length(olap)) hits <- findOverlaps(query, cds, ignore.strand=ignore.strand) coding[queryHits(olap) %in% queryHits(hits)] <- TRUE } else { coding <- rep.int(NA, length(olap)) } query <- query[queryHits(olap)] subject <- subject[subjectHits(olap)] splice <- .gaps(query) compatible <- .compatibleTranscription(query, subject, splice) unique <- .oneMatch(compatible, queryHits(olap)) strandSpecific <- all(strand(query) != "*") mcols(olap) <- DataFrame(compatible, unique, coding, strandSpecific) olap } ## ------------------------------------------------------------------------- ## Methods in Rsamtools : ## findSpliceOverlaps,character,ANY-method ## findSpliceOverlaps,BamFile,ANY-method ## ------------------------------------------------------------------------- ## Methods in GenomicFeatures : ## findSpliceOverlaps,GAlignments,TranscriptDb-method ## findSpliceOverlaps,GAlignmentPairs,TranscriptDb-method ## findSpliceOverlaps,GRangesList,TranscriptDb-method GenomicRanges/R/findSpliceOverlaps-utils.R0000644000126300012640000002033112227070333022132 0ustar00biocbuildphs_compbio### ========================================================================= ### findSpliceOverlaps utilities ### ------------------------------------------------------------------------- .compatibleTranscription <- function(query, subject, splice, clip=0L) { qrng <- ranges(query) srng <- ranges(subject) sprng <- ranges(splice) ## FIXME : should clip be a modifiable parameter? ## Or we could consider taking it out entirely... the aligner should clip if (clip != 0L) { bounds <- .rangeForSorted(qrng) - clip qrange <- restrict(qrng, start(bounds), end(bounds), keep.all.ranges = TRUE) } bnds <- elementLengths(setdiff(qrng, srng)) == 0L splc <- elementLengths(intersect(srng, sprng)) == 0L bnds & splc } .novelBounds <- function(query, subject, qhits) { qrange <- range(query) qstrand <- as.character(strand(qrange)) qrange <- unlist(qrange, use.names=FALSE) srange <- unlist(range(subject), use.names=FALSE) ## bounds violation for each match lviol <- start(qrange) < start(srange) rviol <- end(qrange) > end(srange) TSSviol <- as.logical(ifelse(qstrand != "-", lviol, rviol)) TSEviol <- as.logical(ifelse(qstrand != "+", lviol, rviol)) ## bounds violation across all subjects hit (grouped) lviol <- start(qrange) == start(srange) rviol <- end(qrange) == end(srange) TSSmatch <- as.logical(ifelse(qstrand != "-", lviol, rviol)) TSEmatch <- as.logical(ifelse(qstrand != "+", lviol, rviol)) TSSgroup <- (rowsum(as.integer(TSSmatch), qhits)[,1] > 0L)[factor(qhits)] TSEgroup <- (rowsum(as.integer(TSEmatch), qhits)[,1] > 0L)[factor(qhits)] TSS <- TSSviol & !TSSgroup TSE <- TSEviol & !TSEgroup DataFrame(TSS=TSS, TSE=TSE) } .allMatch <- function(x, idx) { (rowsum(as.integer(x), idx)[,1] == table(idx))[idx] } .oneMatch <- function(x, idx) { xcnt <- rowsum(as.integer(x), idx)[,1] oneMatch <- rep((xcnt == 1L), table(idx)) unname(x & oneMatch) } .novelExon <- function(splice, intronRegion) { if (sum(elementLengths(splice)) == 0L) return(logical(length(splice))) ## subset on elements with splices ans <- logical(length(splice)) idx <- elementLengths(splice) > 0 splice <- splice[idx] internal <- unlist(.gaps(splice), use.names=FALSE) if (sum(length(internal)) == 0L) return(ans) ## FIXME : not competely "within" hits <- findOverlaps(internal, intronRegion, ignore.strand=TRUE) if (length(hits) > 0L) { ans0 <- logical(length(splice)) ne <- table(togroup(splice)[queryHits(hits)]) == 1L ans0[unique(togroup(splice)[queryHits(hits)])] <- ne ans[idx] <- ans0 ans } else { ans } } .novelSpliceEvent <- function(splice, intron) { if (sum(elementLengths(splice)) == 0L | sum(elementLengths(intron)) == 0L) DataFrame(Site=rep.int(FALSE, length(splice)), Junction=rep.int(FALSE, length(splice))) ## subset on elements with splices site <- junction <- rep.int(FALSE, length(splice)) idx <- elementLengths(splice) > 0 splice <- splice[idx] intron <- intron[idx] iflat <- unlist(intron, use.names=FALSE) sflat <- unlist(splice, use.names=FALSE) site[idx] <- .spliceEvent("site", iflat, sflat, splice) junction[idx] <- .spliceEvent("junction", iflat, sflat, splice) DataFrame(Site=site, Junction=junction) } .spliceEvent <- function(type, iflat, sflat, splice) { if (type == "site") { combiner <- c elt <- rep(togroup(splice), each=2) } else if (type == "junction") { combiner <- paste elt <- togroup(splice) } ikeys <- paste(seqnames(iflat), combiner(start(iflat), end(iflat)), strand(iflat), sep = ":") skeys <- paste(seqnames(sflat), combiner(start(sflat), end(sflat)), strand(sflat), sep = ":") novel <- !(skeys %in% ikeys) rowsum(as.integer(novel), elt) > 0L } .novelRetention <- function(query, intronRegion) { ans <- logical(length(query)) if (length(query) == 0L) return(ans) hits <- findOverlaps(unlist(query, use.names=FALSE), intronRegion, ignore.strand=TRUE) if (length(hits) > 0L) { ans[unique(togroup(query)[queryHits(hits)])] <- TRUE } else { ans } } .intronicRegions <- function(tx, intron) { txflt <- unlist(tx, use.names = FALSE) intronflt <- unlist(intron, use.names = FALSE) regions <- setdiff(intronflt, txflt, ignore.strand = TRUE) #map <- findOverlaps(regions, intronflt) #mcols(regions)$tx_id <- # seqsplit(names(tx)[togroup(introns)][subjectHits(intronic_to_tx)], # queryHits(intronic_to_tx)) regions } .result <- function(hits, nc=NULL, compatible=NULL, unique=NULL, coding=NULL, strandSpecific=NULL, novelTSS=NULL, novelTSE=NULL, novelSite=NULL, novelJunction=NULL, novelExon=NULL, novelRetention=NULL) { nms <- c("compatible", "unique", "coding", "strandSpecific", "novelTSS", "novelTSE", "novelSite", "novelJunction", "novelExon", "novelRetention") ## full result if (!is.null(nc)) { mcols(hits) <- DataFrame(compatible, unique, coding, strandSpecific, novelTSS, novelTSE, novelSite, novelJunction, novelExon, novelRetention) hits ## no overlaps } else if (is.null(compatible)) { mat <- matrix(logical(0), length(hits), length(nms)) mcols(hits) <- DataFrame(mat) names(mcols(hits)) <- nms hits ## no compatible overlaps } else { mat <- matrix(FALSE, length(hits), length(nms)) mcols(hits) <- DataFrame(cbind(compatible, unique, coding, strandSpecific, mat)) names(mcols(hits)) <- nms hits } } insertGaps <- function(reads) { query.break <- mcols(reads)$query.break if (is.null(query.break)) stop("missing 'query.break' metadata variable: reads not paired?") reads_flat <- unlist(reads, use.names = FALSE) reads_part <- PartitioningByWidth(reads) left_end <- start(reads_part) + query.break - 1L right_start <- left_end + 1L start <- end(reads_flat)[left_end] end <- pmax(start(reads_flat)[right_start], start - 1L) if (any(seqnames(reads_flat)[left_end] != seqnames(reads_flat)[right_start])) stop("reads are on different chromosomes") GRanges(seqnames(reads_flat)[left_end], IRanges(start, end), strand(reads_flat)[left_end]) } ## Until we have the formal 'gaps' method for GRangeList isNumericOrNAs <- IRanges:::isNumericOrNAs .gaps <- function(x, start=NA, end=NA) { if (!isNumericOrNAs(start)) stop("'start' must be an integer vector or NA") if (!is.integer(start)) start <- as.integer(start) if (!isNumericOrNAs(end)) stop("'end' must be an integer vector or NA") if (!is.integer(end)) end <- as.integer(end) ## seqname and strand consistent in list elements if (all(elementLengths(runValue(seqnames(x))) == 1L) && all(elementLengths(runValue(strand(x))) == 1L)) { flat <- unlist(x, use.names=FALSE) gaps <- gaps(ranges(x), start, end) ### FIXME: this makes this function more of an 'introns' than a .gaps. ### FIXME: this breaks when the GRangesList is not ordered by position if (!is.null(mcols(x)$query.break)) { insert_gaps <- split(ranges(insertGaps(x)), seq_len(length(x))) gaps <- setdiff(gaps, insert_gaps) } idx <- elementLengths(gaps) != 0 ## FIXME : can't handle lists with empty elements ## 'start' and 'end' not quite right here firstseg <- start(PartitioningByWidth(x)) seqnms <- rep(seqnames(flat)[firstseg], elementLengths(gaps)) strand <- rep(strand(flat)[firstseg], elementLengths(gaps)) gr <- relist(GRanges(seqnms, unlist(gaps, use.names=FALSE), strand), gaps) gr } else { ### FIXME: does not handle query.break column yet psetdiff(range(x), x) } } .rangeForSorted <- function(x) { part <- PartitioningByWidth(x) xflat <- unlist(x, use.names=FALSE) IRanges(start(xflat)[start(part)], end(xflat)[end(part)]) } GenomicRanges/R/inter-range-methods.R0000644000126300012640000002247512227070333021067 0ustar00biocbuildphs_compbio### ========================================================================= ### Inter-range methods ### ------------------------------------------------------------------------- ### ### The methods documented in this page on this page are consistent with ### those in IRanges inter-range-methods.R ### range() ### reduce() ### gaps() ### disjoin() ### isDisjoint() ### disjointBins() .interIntervalSplitVariable <- function(x, ignore.strand=FALSE) { f1 <- seqnames(x) runValue(f1) <- 3L * (as.integer(runValue(f1)) - 1L) if (ignore.strand) return(f1) f2 <- strand(x) runValue(f2) <- as.integer(runValue(f2)) - 1L f1 + f2 } ### 'mapping_unlisted' and 'mapping_partitioning': IntegerList and Partitioning ### objects representing the "mapping object", which is *conceptually* an ### IntegerListList object (of the same length as 'mapping_partitioning'). ### *Conceptually* because, well, we don't actually have such container... ### 'old2new': IntegerList of the same length as the "mapping object". .translateMapping <- function(mapping_unlisted, mapping_partitioning, old2new) { ## 'times' has the length of the "mapping object". times <- sum(relist(width(PartitioningByEnd(mapping_unlisted)), mapping_partitioning)) ## 'offset' has the length of 'mapping_unlisted@unlistData'. offset <- rep.int(start(PartitioningByEnd(old2new)) - 1L, times) mapping_flat <- mapping_unlisted@unlistData mapping_unlisted@unlistData <- old2new@unlistData[mapping_flat + offset] mapping_unlisted } .interIntervalGenomicRanges2 <- function(x, FUN, with.mapping=FALSE, ignore.strand=FALSE, ...) { x <- clone(x) mcols(x) <- NULL f <- .interIntervalSplitVariable(x, ignore.strand=ignore.strand) xIRangesList <- split(unname(ranges(x)), f) if (with.mapping) { ansIRangesList <- FUN(xIRangesList, with.mapping=TRUE, ...) } else { ansIRangesList <- FUN(xIRangesList, ...) } k <- elementLengths(ansIRangesList) x_seqlevels <- seqlevels(x) strand_levels <- levels(strand()) ansIRangesList_names <- as.integer(names(ansIRangesList)) i1 <- ansIRangesList_names %/% 3L + 1L ans_seqnames <- Rle(factor(x_seqlevels[i1], levels=x_seqlevels), k) if (ignore.strand) { ans_strand <- Rle(strand("*"), sum(k)) } else { i2 <- ansIRangesList_names %% 3L + 1L ans_strand <- Rle(factor(strand_levels[i2], levels=strand_levels), k) } ans_ranges <- unlist(ansIRangesList, use.names=FALSE) ans_mcols <- mcols(ans_ranges) if (is.null(ans_mcols)) { ans_mcols <- new("DataFrame", nrows=length(ans_seqnames)) } else { mcols(ans_ranges) <- NULL if (with.mapping) { mapping_unlisted <- ans_mcols[["mapping"]] mapping_partitioning <- PartitioningByEnd(ansIRangesList) old2new <- splitAsList(seq_along(x), f) mapping_unlisted2 <- .translateMapping(mapping_unlisted, mapping_partitioning, old2new) ans_mcols[["mapping"]] <- mapping_unlisted2 } } if (length(extraColumnSlotNames(x)) > 0L) x <- new("GRanges", x) update(x, seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, elementMetadata=ans_mcols) } .interIntervalGenomicRanges <- function(x, FUN, ignore.strand=FALSE, ...) { x <- clone(x) mcols(x) <- NULL if (ignore.strand) f <- paste(seqnames(x), Rle(factor("*"), length(x)), sep="\r") else f <- paste(seqnames(x), strand(x), sep="\r") xIRangesList <- split(unname(ranges(x)), f) ansIRangesList <- FUN(xIRangesList, ...) k <- elementLengths(ansIRangesList) splitListNames <- strsplit(names(ansIRangesList), split="\r", fixed=TRUE) listNameMatrix <- matrix(as.character(unlist(splitListNames)), nrow=2L) ansSeqnames <- Rle(factor(listNameMatrix[1L, ], levels=seqlevels(x)), k) ansStrand <- Rle(strand(listNameMatrix[2L, ]), k) if (length(extraColumnSlotNames(x)) > 0L) x <- new("GRanges", x) update(x, seqnames=ansSeqnames, ranges=unlist(ansIRangesList, use.names=FALSE), strand=ansStrand, elementMetadata=new("DataFrame", nrows=length(ansSeqnames))) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### range() ### setMethod("range", "GenomicRanges", function(x, ..., ignore.strand=FALSE, na.rm=FALSE) .interIntervalGenomicRanges2(unname(c(x, ...)), range, ignore.strand=ignore.strand) ) setMethod("range", "GRangesList", function(x, ..., na.rm=FALSE) { if (length(list(...)) != 0L) stop("\"range\" method for GRangesList objects only ", "takes a single object") gr <- deconstructGRLintoGR(x) ## "range" method for GRanges objects is fast. gr <- range(gr) reconstructGRLfromGR(gr, x) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### reduce() ### setMethod("reduce", "GenomicRanges", function(x, drop.empty.ranges=FALSE, min.gapwidth=1L, with.mapping=FALSE, with.inframe.attrib=FALSE, ignore.strand=FALSE) { if (!identical(with.inframe.attrib, FALSE)) stop("'with.inframe.attrib' argument not supported ", "when reducing a GenomicRanges object") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(x) <- "*" .interIntervalGenomicRanges2(x, reduce, drop.empty.ranges=drop.empty.ranges, min.gapwidth=min.gapwidth, with.mapping=with.mapping) } ) setMethod("reduce", "GRangesList", function(x, drop.empty.ranges=FALSE, min.gapwidth=1L, with.inframe.attrib=FALSE) { if (!identical(with.inframe.attrib, FALSE)) stop("'with.inframe.attrib' argument is not supported ", "when reducing a GRangesList object") gr <- deconstructGRLintoGR(x) ## "reduce" method for GRanges objects is fast. gr <- reduce(gr, drop.empty.ranges=drop.empty.ranges, min.gapwidth=min.gapwidth) reconstructGRLfromGR(gr, x) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### gaps() ### setMethod("gaps", "GenomicRanges", function(x, start=1L, end=seqlengths(x)) { seqlevels <- seqlevels(x) if (!is.null(names(start))) start <- start[seqlevels] if (!is.null(names(end))) end <- end[seqlevels] start <- IRanges:::recycleVector(start, length(seqlevels)) start <- rep(start, each=3L) end <- IRanges:::recycleVector(end, length(seqlevels)) end <- rep(end, each=3L) .interIntervalGenomicRanges(x, gaps, start=start, end=end) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### disjoin() ### setMethod("disjoin", "GenomicRanges", function(x, ignore.strand=FALSE) .interIntervalGenomicRanges2(x, disjoin, ignore.strand=ignore.strand) ) applyOnRangesBySpace <- function(x, FUN, ..., ignore.strand = FALSE) { if (ignore.strand) f <- seqnames(x) else f <- paste(seqnames(x), strand(x), sep = "\r") xIRangesList <- split(unname(ranges(x)), f) ans <- FUN(xIRangesList, ...) if (is(ans, "List")) # values per range, otherwise assumed to be per-space ans <- unsplit(ans, f) ans } setMethod("disjoin", "GRangesList", function(x, ...) { gr <- deconstructGRLintoGR(x) d <- disjoin(gr, ...) reconstructGRLfromGR(d, x) }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### isDisjoint() ### setMethod("isDisjoint", "GenomicRanges", function(x, ignore.strand=FALSE) { all(applyOnRangesBySpace(x, isDisjoint, ignore.strand = ignore.strand)) } ) setMethod("isDisjoint", "GRangesList", function(x, ignore.strand = FALSE) { gr <- deconstructGRLintoGR(x) if (ignore.strand) xIRangesList <- split(unname(ranges(gr)), paste(seqnames(gr), Rle(factor(rep("+", length(gr)))), sep = "\r")) else xIRangesList <- split(unname(ranges(gr)), paste(seqnames(gr), strand(gr), sep = "\r")) ansIRanges <- isDisjoint(xIRangesList) splitListNames <- strsplit(names(ansIRanges), split="\r") snames <- strsplit(unlist(lapply(splitListNames, "[[", 1L)), "|", fixed=TRUE) m12 <- matrix(as.integer(unlist(snames)), ncol=2, byrow=TRUE) ansIRangesList <- split(ansIRanges, factor(m12[, 1L], levels=seq_len(length(x)))) ans <- unlist(lapply(ansIRangesList, all)) names(ans) <- names(x) ans } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### disjointBins() ### setMethod("disjointBins", "GenomicRanges", function(x, ignore.strand = FALSE) { applyOnRangesBySpace(x, disjointBins, ignore.strand = ignore.strand) }) GenomicRanges/R/intra-range-methods.R0000644000126300012640000002244612227070333021061 0ustar00biocbuildphs_compbio### ========================================================================= ### Intra-range methods ### ------------------------------------------------------------------------- ### ### The methods documented in this page on this page are consistent with ### those in IRanges intra-range-methods.R ### shift() ### narrow() ### flank() ### reflect() ### resize() ### trim() ### promoters() ### restrict() ### zoom() ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### shift() ### setMethod("shift", "GenomicRanges", function(x, shift=0L, use.names=TRUE) { ranges <- shift(ranges(x), shift, use.names=use.names) clone(x, ranges=ranges) } ) setMethod("shift", "GRangesList", function(x, shift=0L, use.names=TRUE) { if (is(shift, "IntegerList")) { if (length(shift) != length(x) || any(elementLengths(shift) != elementLengths(x))) { stop("IntegerList 'shift' not of same dimension as 'x'") } shift <- unlist(shift, use.names=FALSE) } ranges(x@unlistData) <- shift(x@unlistData@ranges, shift, use.names=use.names) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### narrow() ### setMethod("narrow", "GenomicRanges", function(x, start=NA, end=NA, width=NA, use.names=TRUE) { rng <- narrow(ranges(x), start=start, end=end, width=width, use.names=TRUE) ranges(x) <- rng x } ) setMethod("narrow", "GAlignments", function(x, start=NA, end=NA, width=NA, use.names=TRUE) narrowGAlignments(x, cigarNarrow, start, end, width) ) setMethod("narrow", "GAlignmentsList", function(x, start=NA, end=NA, width=NA, use.names=TRUE) { gal <- narrow(x@unlistData, start=start, end=end, width=width, use.names=use.names) relist(gal, x@partitioning) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### flank() ### setMethod("flank", "GenomicRanges", function(x, width, start=TRUE, both=FALSE, use.names=TRUE, ignore.strand=FALSE) { if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) start <- rep.int(start, length(x)) else start <- as.vector(start == (strand(x) != "-")) ranges <- flank(ranges(x), width=width, start=start, both=both, use.names=use.names) if (!IRanges:::anyMissing(seqlengths(x))) { start(x) <- start(ranges) end(x) <- end(ranges) } else { x <- clone(x, ranges=ranges) } x } ) setMethod("flank", "GRangesList", function(x, width, start=TRUE, both=FALSE, use.names=TRUE, ignore.strand=FALSE) { x@unlistData <- flank(x@unlistData, width = width, start = start, both = both, use.names = use.names, ignore.strand = ignore.strand) x }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### promoters() ### setMethod("promoters", "GenomicRanges", function(x, upstream=2000, downstream=200, ...) { if (!isSingleNumber(upstream)) stop("'upstream' must be a single integer") if (!is.integer(upstream)) upstream <- as.numeric(upstream) if (!isSingleNumber(downstream)) stop("'downstream' must be a single integer") if (!is.integer(downstream)) downstream <- as.numeric(downstream) if (upstream < 0 | downstream < 0) stop("'upstream' and 'downstream' must be integers >= 0") if (any(strand(x) == "*")) warning("'*' ranges were treated as '+'") on_plus <- which(strand(x) == "+" | strand(x) == "*") on_plus_TSS <- start(x)[on_plus] start(x)[on_plus] <- on_plus_TSS - upstream end(x)[on_plus] <- on_plus_TSS + downstream - 1L on_minus <- which(strand(x) == "-") on_minus_TSS <- end(x)[on_minus] end(x)[on_minus] <- on_minus_TSS + upstream start(x)[on_minus] <- on_minus_TSS - downstream + 1L x } ) setMethod("promoters", "GRangesList", function(x, upstream=2000, downstream=200, ...) { x@unlistData <- promoters(x@unlistData, upstream=upstream, downstream=downstream) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### reflect() ### ### TODO: Add "reflect" method for GenomicRanges objects. ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### resize() ### setMethod("resize", "GenomicRanges", function(x, width, fix="start", use.names=TRUE, ignore.strand=FALSE) { if (!missing(fix) && length(x) > 0L && (length(fix) > length(x) || length(x) %% length(fix) > 0L)) stop("'x' is not a multiple of 'fix' length") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) { fix <- Rle(rep.int(fix, length(x))) } else { revFix <- c(start="end", end="start", center="center") if (length(x) == 0L) fix <- character() else fix <- ifelse(strand(x) == "-", revFix[fix], fix) } ranges <- resize(ranges(x), width=width, fix=fix, use.names=use.names) if (!IRanges:::anyMissing(seqlengths(x))) { start(x) <- start(ranges) end(x) <- end(ranges) } else { x <- clone(x, ranges=ranges) } x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### trim() ### setMethod("trim", "GenomicRanges", function(x, use.names=TRUE) { end <- NA_integer_ if (any(!is.na(seqlengths(x)))) { seqlen <- seqlengths(x) seqlen[isCircular(x) %in% TRUE] <- NA_integer_ idx <- match(as.character(seqnames(x)), names(seqlen)) end <- seqlen[idx] } x@ranges <- restrict(ranges(x), start=1L, end=end, keep.all.ranges=TRUE, use.names=use.names) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### restrict() ### .checkParms <- function(x, parm) { if (!all(is.na(parm))) { if (!all(names(parm) %in% levels(seqnames(x)))) stop("start should be a named numeric vector ", "corresponding to seqnames") } temp <- structure(rep(NA_integer_, length(levels(seqnames(x)))), names=levels(seqnames(x))) temp[names(parm)] <- parm temp } .restrictRngs <- function(x, start, end, keep.all.ranges, use.names) { tmp <- names(x) names(x) <- seq_len(length(x)) rng <- ranges(x) res <- restrict(ranges(x), start, end, keep.all.ranges, use.names=TRUE) x <- x[as.numeric(names(res))] ranges(x) <- res if (!use.names) names(x) <- NULL else names(x) <- tmp[as.numeric(names(res))] x } setMethod("restrict", "GenomicRanges", function(x, start=NA, end=NA, keep.all.ranges=FALSE, use.names=TRUE) { if (is.null(names(start)) && is.null(names(end))) return(.restrictRngs(x, start, end,keep.all.ranges, use.names)) nms <- names(mcols(x)) mcols(x) <- cbind(mcols(x), DataFrame(posIndx=seq_len(length(x)))) splt <- split(x, seqnames(x)) start <- .checkParms(x, start) end <- .checkParms(x, end) res <- lapply(names(splt), function(i) { .restrictRngs(splt[[i]], start=start[i], end=end[i], keep.all.ranges, use.names) }) names(res) <- names(splt) ord <- unlist(GRangesList(res), use.names=FALSE) df <- data.frame(orig=mcols(ord)[["posIndx"]], final=seq_len(length(ord))) indx <- order(df[["orig"]], df[["final"]]) ord <- ord[indx, ] mcols(ord) <- subset(mcols(ord), select=nms) ord } ) setMethod("restrict", "GRangesList", function(x, start = NA, end = NA, keep.all.ranges = FALSE, use.names = TRUE) { endoapply(x, restrict, start=start, end=end,keep.all.ranges=keep.all.ranges , use.names=use.names ) }) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Zooming (symmetrically scales the width). ### setMethod("Ops", c("GenomicRanges", "numeric"), function(e1, e2) { if (IRanges:::anyMissing(e2)) stop("NA not allowed as zoom factor") e2 <- recycleNumericArg(e2, "e2", length(e1)) if (.Generic == "*") { e2 <- ifelse(e2 < 0, abs(1/e2), e2) resize(e1, width(e1) / e2, fix="center") } else { if (.Generic == "-") { e2 <- -e2 .Generic <- "+" } if (.Generic == "+") { if (any(-e2*2 > width(e1))) stop("adjustment would result in ranges ", "with negative widths") resize(e1, width(e1) + e2*2, fix="center") } } } ) GenomicRanges/R/makeGRangesFromDataFrame.R0000644000126300012640000000716512227070333021767 0ustar00biocbuildphs_compbio### ========================================================================= ### makeGRangesFromDataFrame() ### ------------------------------------------------------------------------- ### Must return NULL or a Seqinfo object. .normarg_seqinfo <- function(seqinfo) { if (is.null(seqinfo) || is(seqinfo, "Seqinfo")) return(seqinfo) if (is.character(seqinfo)) return(Seqinfo(seqinfo)) if (is.numeric(seqinfo)) { seqlevels <- names(seqinfo) if (is.null(seqlevels)) stop("when a numeric vector, 'seqinfo' must have names") return(Seqinfo(seqlevels, seqlengths=seqinfo)) } stop("'seqinfo' must be NULL, or a Seqinfo object, or a character vector ", "of seqlevels, or a named numeric vector of sequence lengths") } .get_field_pos <- function(field, df, what, required=TRUE) { if (!is.character(field) || any(is.na(field))) stop("'", what, ".field' must be a character vector with no NAs") pos <- match(field, names(df)) pos <- pos[which(!is.na(pos))[1L]] if (required && is.na(pos)) stop("no field listed in '", what, ".field' is present in 'df'") pos } ### 'df' must be a data.frame or DataFrame object. makeGRangesFromDataFrame <- function(df, keep.extra.columns=FALSE, ignore.strand=FALSE, seqinfo=NULL, seqnames.field=c("seqnames", "chr", "chrom"), start.field=c("start", "chromStart"), end.field=c("end", "chromEnd", "stop", "chromStop"), strand.field="strand", starts.in.df.are.0based=FALSE) { ## Check args. if (!is.data.frame(df) && !is(df, "DataFrame")) stop("'df' must be a data.frame or DataFrame object") if (!isTRUEorFALSE(keep.extra.columns)) stop("'keep.extra.columns' must be TRUE or FALSE") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") ans_seqinfo <- .normarg_seqinfo(seqinfo) seqnames_fpos <- .get_field_pos(seqnames.field, df, "seqnames") start_fpos <- .get_field_pos(start.field, df, "start") end_fpos <- .get_field_pos(end.field, df, "end") strand_fpos <- .get_field_pos(strand.field, df, "strand", required=FALSE) if (!isTRUEorFALSE(starts.in.df.are.0based)) stop("'starts.in.df.are.0based' must be TRUE or FALSE") ## Prepare the GRanges components. ans_seqnames <- df[[seqnames_fpos]] ans_start <- df[[start_fpos]] ans_end <- df[[end_fpos]] if (!is.numeric(ans_start) || !is.numeric(ans_end)) stop("\"", names(df)[start_fpos], "\" and ", "\"", names(df)[end_fpos], "\" columns must be numeric") if (starts.in.df.are.0based) ans_start <- ans_start + 1L ans_ranges <- IRanges(ans_start, ans_end) if (is.na(strand_fpos) || ignore.strand) { ans_strand <- "*" } else { ans_strand <- df[[strand_fpos]] } if (keep.extra.columns) { drop_idx <- c(seqnames_fpos, start_fpos, end_fpos) if (!is.na(strand_fpos)) drop_idx <- c(drop_idx, strand_fpos) ans_mcols <- df[-drop_idx] } else { ans_mcols <- NULL } ans_names <- rownames(df) if (identical(as.character(seq_len(nrow(df))), ans_names)) ans_names <- NULL ## Make the GRanges object and return it. ans <- GRanges(seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, ans_mcols, seqinfo=ans_seqinfo) if (!is.null(ans_names)) names(ans) <- ans_names ans } setAs("data.frame", "GRanges", function(from) makeGRangesFromDataFrame(from, keep.extra.columns=TRUE) ) setAs("DataFrame", "GRanges", function(from) makeGRangesFromDataFrame(from, keep.extra.columns=TRUE) ) GenomicRanges/R/makeSeqnameIds.R0000644000126300012640000002511612227070333020075 0ustar00biocbuildphs_compbio### ========================================================================= ### makeSeqnameIds() ### ------------------------------------------------------------------------- ### ### Assign a unique ID to each unique sequence name passed in 'seqnames'. ### The returned IDs are guaranteed to span 1:N where N is the number of ### unique sequence names in 'seqnames'. ### Also the function tries hard to assign IDs in a way that is consistent ### with a "good looking" order of the sequence names. This "good looking" ### order is roughly defined by the following (complicated and arbitrary) ### set of rules (rules apply in the order shown below): ### ### 1. Every name should fall into exactly 1 of the 5 following "super ### groups": ### (A) starts with CHR ### (B) starts with chr ### (C) starts with CH ### (D) starts with ch ### (E) anything else ### Names in early super groups are ranked before names in late super ### groups. ### ### 2. Within each super group, and after the prefix corresponding to the ### super group has been dropped (nothing is dropped for super group (E)), ### every name should fall into exactly 1 of the 14 following groups: ### (a) roman number ### (b) arabic number (possibly followed by L or R) ### (c) X ### (d) Y ### (e) U ### (f) M ### (g) MT ### (h) arabic number "followed by something" (not L or R) ### (i) X "followed by something" ### (j) Y "followed by something" ### (k) U "followed by something" ### (l) M "followed by something" ### (m) MT "followed by something" ### (n) anything else ### Names in early groups are ranked before names in late groups. ### ### 3. A name in group (b) that ends with L or R is ranked right after the ### name obtained by dropping the L or R. ### ### 4. In groups (h) to (n), ties are broken by looking at the "followed ### by something" part (or at the entire name for group (n)): collation ### defined by LC_COLLATE set to C applies. ### ### 'X.is.sexchrom' lets the user control whether X refers to the sexual ### chromosome or to chromosome with roman number X. ### ### One of the ugliest functions I ever wrote, sorry... ### ### NOTE: makeSeqnameIds() was successfully tested on the BSgenome data ### packages for hg19, mm10, ce2, dm3, sacCer1, sacCer2, sacCer3 and rheMac2 ### i.e. the IDs returned on the seqnames defined in those packages match the ### ranks of the seqnames. ### For example, for hg19, 'makeSeqnameIds(seqlevels(Hsapiens))' is identical ### to 'seq_along(seqlevels(Hsapiens)))'. ### TODO: Add unit test for makeSeqnameIds(). makeSeqnameIds <- function(seqnames, X.is.sexchrom=NA) { if (is.character(seqnames)) seqnames <- factor(seqnames) else if (!is.factor(seqnames)) stop("'seqnames' must be a character vector or factor") if (!is.logical(X.is.sexchrom) || length(X.is.sexchrom) != 1L) stop("'X.is.sexchrom' must be a single logical") seqlevels <- levels(factor(seqnames)) # unique seqnames ## Set LC_COLLATE to C so our calls to as.integer(factor(...)) below ## return the same thing for everybody (i.e. for every user on any machine ## in any country). prev_locale <- Sys.getlocale("LC_COLLATE") Sys.setlocale("LC_COLLATE", "C") on.exit(Sys.setlocale("LC_COLLATE", prev_locale)) ## Provisional ids. prov_ids <- rep.int(NA_integer_, length(seqlevels)) last_prov_id <- 0L ## 'i' indices of elements in 'prov_ids' to set. ## 'ints' integer vector of length > 0 with no NAs. Is recycled to the ## length of 'i'. makeAndAssignProvIds <- function(i, ints=0L) { new_prov_ids <- last_prov_id + ints - min(ints) + 1L prov_ids2 <- prov_ids prov_ids2[i] <- new_prov_ids last_prov_id2 <- max(new_prov_ids) assign("prov_ids", prov_ids2, inherits=TRUE) assign("last_prov_id", last_prov_id2, inherits=TRUE) } ## Some simple helpers for low-level string manipulation. hasPrefix <- function(seqnames, prefix) substr(seqnames, start=1L, stop=nchar(prefix)) == prefix dropPrefix <- function(seqnames, nchar) substr(seqnames, start=nchar+1L, stop=nchar(seqnames)) isRoman <- function(seqnames) { suppressWarnings(roman <- utils:::.roman2numeric(seqnames)) ans <- logical(length(seqnames)) ans[!is.na(roman) & toupper(seqnames) == seqnames] <- TRUE ans } REGEXP0 <- "[1-9][0-9]*" REGEXP1 <- "[0-9]*" isNb <- function(seqnames, abc="") { regexp <- paste0("^", REGEXP0, abc, "$") grepl(regexp, seqnames) } getIntPrefix <- function(seqnames) { regexp <- paste0("^(", REGEXP1, ")(.*)$") sub(regexp, "\\1", seqnames) } getIntPrefixTail <- function(seqnames) { regexp <- paste0("^(", REGEXP1, ")(.*)$") sub(regexp, "\\2", seqnames) } assignProvIdsForSuperGroup <- function(seqlevels, prefix) { sgidx <- which(is.na(prov_ids) & hasPrefix(seqlevels, prefix)) if (length(sgidx) == 0L) return() sgsuffix <- seqlevels[sgidx] sgsuffix <- dropPrefix(sgsuffix, nchar(prefix)) is_nb <- isNb(sgsuffix) is_nbL <- isNb(sgsuffix, abc="L") is_nbR <- isNb(sgsuffix, abc="R") is_nb_or_nbL_or_nbR <- is_nb | is_nbL | is_nbR is_nbxxx <- isNb(sgsuffix, abc=".*") & !is_nb_or_nbL_or_nbR is_X <- sgsuffix == "X" is_Y <- sgsuffix == "Y" if (is.na(X.is.sexchrom)) { if (any(is_X)) { X_is_seXual <- any(is_Y) || any(is_nb_or_nbL_or_nbR) || any(is_nbxxx) } else { X_is_seXual <- TRUE # or FALSE, won't make any difference } } else { X_is_seXual <- X.is.sexchrom } is_seXual <- is_X & X_is_seXual is_roman <- isRoman(sgsuffix) & !is_seXual is_U <- sgsuffix == "U" is_MT <- sgsuffix == "MT" is_M <- sgsuffix == "M" is_Xxxx <- hasPrefix(sgsuffix, "X") & !is_X & !is_roman is_Yxxx <- hasPrefix(sgsuffix, "Y") & !is_Y & !is_roman is_Uxxx <- hasPrefix(sgsuffix, "U") & !is_U & !is_roman is_MTxxx <- hasPrefix(sgsuffix, "MT") & !is_MT & !is_roman is_Mxxx <- hasPrefix(sgsuffix, "M") & !is_M & !is_MT & !is_MTxxx & !is_roman ## The groups below must define a partitioning of the current super ## group i.e. any element in 'sgsuffix' must fall in exactly 1 group. is_xxx <- !is_roman & !is_nb_or_nbL_or_nbR & !is_seXual & !is_Y & !is_U & !is_M & !is_MT & !is_nbxxx & !is_Xxxx & !is_Yxxx & !is_Uxxx & !is_Mxxx & !is_MTxxx ## Group (a). if (any(is_roman)) { gsuffix <- sgsuffix[is_roman] ints <- as.integer(utils:::.roman2numeric(gsuffix)) makeAndAssignProvIds(sgidx[is_roman], ints=ints) } ## Group (b). if (any(is_nb_or_nbL_or_nbR)) { gsuffix <- sgsuffix[is_nb_or_nbL_or_nbR] isnb_idx <- which(is_nb[is_nb_or_nbL_or_nbR]) isnbL_idx <- which(is_nbL[is_nb_or_nbL_or_nbR]) isnbR_idx <- which(is_nbR[is_nb_or_nbL_or_nbR]) nb_ints <- as.integer(gsuffix[isnb_idx]) gsuffixL <- gsuffix[isnbL_idx] nbL_ints <- as.integer(substr(gsuffixL, start=1L, stop=nchar(gsuffixL)-1L)) gsuffixR <- gsuffix[isnbR_idx] nbR_ints <- as.integer(substr(gsuffixR, start=1L, stop=nchar(gsuffixR)-1L)) ints <- integer(length(gsuffix)) ints[isnb_idx] <- 3L * nb_ints ints[isnbL_idx] <- 3L * nbL_ints + 1L ints[isnbR_idx] <- 3L * nbR_ints + 2L makeAndAssignProvIds(sgidx[is_nb_or_nbL_or_nbR], ints=ints) } ## Group (c). if (any(is_seXual)) makeAndAssignProvIds(sgidx[is_seXual]) ## Group (d). if (any(is_Y)) makeAndAssignProvIds(sgidx[is_Y]) ## Group (e). if (any(is_U)) makeAndAssignProvIds(sgidx[is_U]) ## Group (f). if (any(is_M)) makeAndAssignProvIds(sgidx[is_M]) ## Group (g). if (any(is_MT)) makeAndAssignProvIds(sgidx[is_MT]) ## Group (h). if (any(is_nbxxx)) { gsuffix <- sgsuffix[is_nbxxx] ints1 <- as.integer(getIntPrefix(gsuffix)) ints2 <- as.integer(factor(getIntPrefixTail(gsuffix))) ints <- (max(ints2) + 1L) * ints1 + ints2 makeAndAssignProvIds(sgidx[is_nbxxx], ints=ints) } ## Group (i). if (any(is_Xxxx)) { gsuffix <- sgsuffix[is_Xxxx] ints <- as.integer(factor(dropPrefix(gsuffix, 1L))) makeAndAssignProvIds(sgidx[is_Xxxx], ints=ints) } ## Group (j). if (any(is_Yxxx)) { gsuffix <- sgsuffix[is_Yxxx] ints <- as.integer(factor(dropPrefix(gsuffix, 1L))) makeAndAssignProvIds(sgidx[is_Yxxx], ints=ints) } ## Group (k). if (any(is_Uxxx)) { gsuffix <- sgsuffix[is_Uxxx] ints <- as.integer(factor(dropPrefix(gsuffix, 1L))) makeAndAssignProvIds(sgidx[is_Uxxx], ints=ints) } ## Group (l). if (any(is_Mxxx)) { gsuffix <- sgsuffix[is_Mxxx] ints <- as.integer(factor(dropPrefix(gsuffix, 1L))) makeAndAssignProvIds(sgidx[is_Mxxx], ints=ints) } ## Group (m). if (any(is_MTxxx)) { gsuffix <- sgsuffix[is_MTxxx] ints <- as.integer(factor(dropPrefix(gsuffix, 2L))) makeAndAssignProvIds(sgidx[is_MTxxx], ints=ints) } ## Group (n). if (any(is_xxx)) { gsuffix <- sgsuffix[is_xxx] ints <- as.integer(factor(gsuffix)) makeAndAssignProvIds(sgidx[is_xxx], ints=ints) } } ## Longest prefixes first. assignProvIdsForSuperGroup(seqlevels, "CHR") assignProvIdsForSuperGroup(seqlevels, "chr") assignProvIdsForSuperGroup(seqlevels, "CH") assignProvIdsForSuperGroup(seqlevels, "ch") assignProvIdsForSuperGroup(seqlevels, "") ## Seqlevel ids. seqlevel_ids <- integer(length(prov_ids)) oo <- order(prov_ids) seqlevel_ids[oo] <- seq_len(length(seqlevel_ids)) ## Seqname ids. seqlevel_ids[as.integer(seqnames)] } GenomicRanges/R/nearest-methods.R0000644000126300012640000002772512227070333020320 0ustar00biocbuildphs_compbio### ========================================================================= ### nearest (and related) methods ### ------------------------------------------------------------------------- ### ### Dependencies : ### ### distanceToNearest ### | | ### nearest distance ### | | ### precede follow .orderNumeric <- function(x) # unstable order sort.list(x, na.last=NA, method="quick") .GenomicRanges_findNearest0 <- function (query, subject, sentinel, leftOf=TRUE) ## query 'leftOf' subject { sentinelidx <- length(subject) + seq_along(sentinel) subject <- c(subject, sentinel) ord <- .orderNumeric(subject) subject <- subject[ord] rle <- Rle(subject) subject <- runValue(rle) i <- findInterval(query - !leftOf, subject) + leftOf i[subject[i] %in% sentinel] <- NA_integer_ IRanges:::.vectorToHits(i, rle, ord) } .findNearest_distance <- function(hit, query, subject, leftOf=TRUE) ## query 'leftOf' of subject { if (leftOf) start(subject)[subjectHits(hit)] - end(query)[queryHits(hit)] else start(query)[queryHits(hit)] - end(subject)[subjectHits(hit)] } .Hits <- function(queryHits, subjectHits, queryLength=as.integer(max(c(0, queryHits))), subjectLength=as.integer(max(c(0, subjectHits)))) { o <- IRanges:::orderIntegerPairs(queryHits, subjectHits) new("Hits", queryHits=queryHits[o], subjectHits=subjectHits[o], queryLength=queryLength, subjectLength=subjectLength) } .findPrecedeFollow_pmin <- function(hit0, dist0, hit1, dist1) ## hit0, hit1 are (possibly multiple) hits on same query; repeated ## hits are equidistant within hit0 or hit1, but not necessarily ## between { stopifnot(queryLength(hit0) == queryLength(hit1)) stopifnot(subjectLength(hit0) == subjectLength(hit1)) stopifnot(length(hit0) == length(dist0) || length(hit1) == length(dist1)) n <- queryLength(hit0) d0 <- d1 <- integer() d0[n] <- d1[n] <- NA_integer_ i0 <- queryHits(hit0) i1 <- queryHits(hit1) d0[i0] <- dist0 d1[i1] <- dist1 dMin <- pmin.int(d0, d1, na.rm=TRUE) i0 <- dist0 == dMin[i0] i1 <- dist1 == dMin[i1] .Hits(c(queryHits(hit0)[i0], queryHits(hit1)[i1]), c(subjectHits(hit0)[i0], subjectHits(hit1)[i1]), queryLength(hit0), subjectLength(hit0)) } .GenomicRanges_findPrecedeFollow <- function(query, subject, select, ignore.strand, where=c("precede", "follow")) { leftOf <- "precede" == match.arg(where) if (ignore.strand) strand(query) <- strand(subject) <- "+" if (leftOf) { plusfun <- function(xstart, xend, ystart, yend, sentinel) .GenomicRanges_findNearest0(xend, ystart, sentinel, leftOf) minusfun <- function(xstart, xend, ystart, yend, sentinel) .GenomicRanges_findNearest0(xstart, yend, sentinel, !leftOf) } else { plusfun <- function(xstart, xend, ystart, yend, sentinel) .GenomicRanges_findNearest0(xstart, yend, sentinel, leftOf) minusfun <- function(xstart, xend, ystart, yend, sentinel) .GenomicRanges_findNearest0(xend, ystart, sentinel, !leftOf) } ## sentinels marking seqlevels ends endq <- start(query) + width(query) # end(query) incorrect for 0-width ends <- start(subject) + width(subject) maxend <- max(max(endq), max(ends)) + 1 lvls <- union(seqlevels(query), seqlevels(subject)) offset <- setNames((seq_along(lvls) - 1) * maxend, lvls) stopifnot(typeof(offset) == "double") # avoid integer overflow sentinel <- c(0, seq_along(lvls) * maxend) ## offset for sentinels queryOff <- unname(offset[as.character(seqnames(query))]) queryStart <- start(query) + queryOff queryEnd <- end(query) + queryOff # true end + offset qid <- seq_along(query) subjectOff <- unname(offset[as.character(seqnames(subject))]) subjectStart <- start(subject) + subjectOff subjectEnd <- end(subject) + subjectOff # true end + offset spid <- which(strand(subject) != "-") smid <- which(strand(subject) != "+") ## '+' query idx <- which(strand(query) == "+") phit <- plusfun(queryStart[idx], queryEnd[idx], subjectStart[spid], subjectEnd[spid], sentinel) phit <- .Hits(qid[idx][queryHits(phit)], spid[subjectHits(phit)]) ## '-' query idx <- which(strand(query) == "-") mhit <- minusfun(queryStart[idx], queryEnd[idx], subjectStart[smid], subjectEnd[smid], sentinel) mhit <- .Hits(qid[idx][queryHits(mhit)], smid[subjectHits(mhit)]) ## '*' query idx <- which(strand(query) == "*") bhit <- local({ qid <- qid[idx] phit <- plusfun(queryStart[idx], queryEnd[idx], subjectStart[spid], subjectEnd[spid], sentinel) phit <- .Hits(qid[queryHits(phit)], spid[subjectHits(phit)], length(query), length(subject)) mhit <- minusfun(queryStart[idx], queryEnd[idx], subjectStart[smid], subjectEnd[smid], sentinel) mhit <- .Hits(qid[queryHits(mhit)], smid[subjectHits(mhit)], length(query), length(subject)) pdist <- .findNearest_distance(phit, query, subject, leftOf) mdist <- .findNearest_distance(mhit, query, subject, !leftOf) .findPrecedeFollow_pmin(phit, pdist, mhit, mdist) }) ## clean up qryHits <- c(queryHits(phit), queryHits(mhit), queryHits(bhit)) subjHits <- c(subjectHits(phit), subjectHits(mhit), subjectHits(bhit)) if ("arbitrary" == select) { hits <- integer() hits[length(query)] <- NA_integer_ idx <- !duplicated(qryHits) ## ties hits[qryHits[idx]] <- subjHits[idx] } else { hits <- .Hits(qryHits, subjHits, length(query), length(subject)) } hits } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### precede() and follow() ### setMethod("precede", c("GenomicRanges", "GenomicRanges"), function(x, subject, select = c("arbitrary", "all"), ignore.strand=FALSE, ...) { select <- match.arg(select) .GenomicRanges_findPrecedeFollow(x, subject, select, ignore.strand, "precede", ...) } ) setMethod("precede", c("GenomicRanges", "missing"), function(x, subject, select = c("arbitrary", "all"), ignore.strand=FALSE, ...) { callGeneric(x, subject=x, select=select, ignore.strand=ignore.strand, ...) } ) setMethod("follow", c("GenomicRanges", "GenomicRanges"), function(x, subject, select = c("arbitrary", "all"), ignore.strand=FALSE, ...) { select <- match.arg(select) .GenomicRanges_findPrecedeFollow(x, subject, select, ignore.strand, "follow", ...) } ) setMethod("follow", c("GenomicRanges", "missing"), function(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) { callGeneric(x, subject=x, select=select, ignore.strand=ignore.strand, ...) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### nearest() ### .filterMatchMatrix <- function(m, i, map) { qrle <- Rle(m[, 1L]) qstart <- qend <- integer(length(i)) qstart[runValue(qrle)] <- start(qrle) qend[runValue(qrle)] <- end(qrle) rows <- as.integer(IRanges(qstart[i], qend[i])) m <- m[rows, , drop = FALSE] m[, 1L] <- map[m[, 1L]] m } .nearest <- function(x, subject, select, ignore.strand, ignoreSelf=FALSE, ...) { ## overlapping ranges if (ignoreSelf) { fo <- findOverlaps(x, subject, select="all", ignore.strand=ignore.strand) ol <- IRanges:::processSelfMatching(fo, select, ignoreSelf=TRUE) } else { ol <- findOverlaps(x, subject, select=select, ignore.strand=ignore.strand) } if (select == "all") { m <- as.matrix(ol) olv <- IRanges:::.hitsMatrixToVector(m, length(x)) } else { olv <- ol } ## non-overlapping ranges if (length(x <- x[is.na(olv)]) != 0) { p <- precede(x, subject, select, ignore.strand) f <- follow(x, subject, select, ignore.strand) if (select == "all") { pmat <- as.matrix(p) fmat <- as.matrix(f) p <- IRanges:::.hitsMatrixToVector(as.matrix(pmat), length(x)) f <- IRanges:::.hitsMatrixToVector(as.matrix(fmat), length(x)) } ## choose nearest or not missing pdist <- .nearestDistance(x, subject, p) fdist <- .nearestDistance(x, subject, f) pnearest <- ifelse(pdist == fdist, p < f, pdist < fdist) isNA <- is.na(pnearest) pnearest[isNA] <- is.na(f[isNA]) if (select == "all") { map <- which(is.na(olv)) pnearest[pdist == fdist] <- TRUE m <- rbind(m, .filterMatchMatrix(pmat, pnearest, map), .filterMatchMatrix(fmat, !pnearest, map)) m <- m[IRanges:::orderIntegerPairs(m[, 1L], m[, 2L]), , drop = FALSE] ol@queryHits <- unname(m[, 1L]) ol@subjectHits <- unname(m[, 2L]) } else { olv[is.na(olv)] <- ifelse(pnearest, p, f) ol <- olv } } ol } .nearestDistance <- function(x, subject, index) { maxStart <- pmax.int(start(x), start(subject)[index]) minEnd <- pmin.int(end(x), end(subject)[index]) pmax.int(maxStart - minEnd - 1L, 0L) } setMethod("nearest", c("GenomicRanges", "GenomicRanges"), function(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) { select <- match.arg(select) .nearest(x, subject, select=select, ignore.strand=ignore.strand, ...) } ) setMethod("nearest", c("GenomicRanges", "missing"), function(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) { callGeneric(x, subject=x, select=select, ignore.strand=ignore.strand, ignoreSelf=TRUE, ...) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### distance() ### setMethod("distance", c("GenomicRanges", "GenomicRanges"), function(x, y, ignore.strand=FALSE, ...) { if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") d <- distance(ranges(x), ranges(y)) mismtch <- as.character(seqnames(x)) != as.character(seqnames(y)) if (any(mismtch)) d[mismtch] <- NA if (!ignore.strand) { idx <- as.numeric(strand(x)) + as.numeric(strand(y)) if (any(idx == 3)) d[idx == 3] <- NA } d } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### distanceToNearest() ### setMethod("distanceToNearest", c("GenomicRanges", "GenomicRanges"), function(x, subject, ignore.strand=FALSE, ...) { x_nearest <- nearest(x, subject, ignore.strand=ignore.strand) .distanceToNearest(x_nearest, x, subject, ignore.strand=ignore.strand) } ) setMethod("distanceToNearest", c("GenomicRanges", "missing"), function(x, subject, ignore.strand=FALSE, ...) { x_nearest <- nearest(x, ignore.strand=ignore.strand) .distanceToNearest(x_nearest, x, x, ignore.strand=ignore.strand) } ) .distanceToNearest <- function(x_nearest, x, subject, ignore.strand) { if (identical(integer(0), x_nearest)) { DataFrame(queryHits=integer(), subjectHits=integer(), distance=integer()) } else { idx <- !is.na(x_nearest) queryHits=seq_len(length(x_nearest)) subjectHits=x_nearest distance <- rep(NA_integer_, length(x_nearest)) distance[idx]=distance(x[idx], subject[na.omit(x_nearest)], ignore.strand=ignore.strand) new("Hits", queryHits=queryHits, subjectHits=subjectHits, queryLength=length(x), subjectLength=length(subject), elementMetadata=DataFrame(distance=distance)) } } GenomicRanges/R/phicoef.R0000644000126300012640000000153112227070333016616 0ustar00biocbuildphs_compbio### Based on http://en.wikipedia.org/wiki/Phi_coefficient phicoef <- function(x, y=NULL) { if (is.null(y)) { if (!is.integer(x) || length(x) != 4L) stop("when 'y' is not supplied, 'x' must be ", "a 2x2 integer matrix or an integer vector of length 4") a <- x[1L] c <- x[2L] b <- x[3L] d <- x[4L] } else { if (!is.logical(x) || !is.logical(y) || length(x) != length(y)) stop("when 'y' is supplied, 'x' and 'y' must be ", "2 logical vectors of the same length") a <- sum(x & y) b <- sum(x & !y) c <- sum(!x & y) d <- sum(!x & !y) } a <- as.double(a) b <- as.double(b) c <- as.double(c) d <- as.double(d) div <- sqrt((a + b) * (c + d) * (a + c) * (b + d)) (a * d - b * c) / div } GenomicRanges/R/resolveHits-methods.R0000644000126300012640000000156112227070333021154 0ustar00biocbuildphs_compbio### ========================================================================= ### resolveHits methods ### ------------------------------------------------------------------------- setGeneric("resolveHits", signature = c("query", "subject"), # not exported function(query, subject, readValue, type = c("any", "start", "end", "within", "equal"), resolution = c("divide", "uniqueDisjoint"), ignore.strand, ...) standardGeneric("resolveHits") ) setMethod("resolveHits", c("GenomicRanges", "GenomicRanges"), # not exported function(query, subject, readValue, type = c("any", "start", "end", "within", "equal"), resolution = c("divide", "uniqueDisjoint"), ignore.strand, ...) { .Deprecated("summarizeOverlaps") }) GenomicRanges/R/seqinfo.R0000644000126300012640000002715012227070333016652 0ustar00biocbuildphs_compbio### ========================================================================= ### The seqinfo() (and releated) generic getters and setters ### ------------------------------------------------------------------------- ### Validate and reverse the 'new2old' mapping. .reverseNew2old <- function(new2old, new_N, old_N) { if (is.null(new2old)) return(NULL) if (!is.integer(new2old) || length(new2old) != new_N) stop("when 'new2old' is not NULL, it must be an integer ", "vector of the\n same length as the supplied 'seqlevels'") min_new2old <- suppressWarnings(min(new2old, na.rm=TRUE)) if (min_new2old != Inf) { if (min_new2old < 1L || max(new2old, na.rm=TRUE) > old_N) stop("non-NA values in 'new2old' must be >= 1 and <= N, ", "where N is the\n nb of sequence levels in 'x'") } if (any(duplicated(new2old) & !is.na(new2old))) stop("duplicates are not allowed among non-NA values in 'new2old'") IRanges:::reverseIntegerInjection(new2old, old_N) } ### The dangling seqlevels in 'x' are those seqlevels that the user wants to ### drop but are in use. getDanglingSeqlevels <- function(x, new2old=NULL, force=FALSE, new_seqlevels) { if (!is.character(new_seqlevels) || any(is.na(new_seqlevels))) stop("the supplied 'seqlevels' must be a character vector with no NAs") if (!isTRUEorFALSE(force)) stop("'force' must be TRUE or FALSE") if (is.null(new2old)) return(character(0)) new_N <- length(new_seqlevels) old_seqlevels <- seqlevels(x) old_N <- length(old_seqlevels) old2new <- .reverseNew2old(new2old, new_N, old_N) seqlevels_to_drop <- old_seqlevels[is.na(old2new)] seqlevels_in_use <- seqlevelsInUse(x) dangling_seqlevels <- intersect(seqlevels_to_drop, seqlevels_in_use) if (!force && length(dangling_seqlevels) != 0L) stop("won't drop seqlevels currently in use (", paste(dangling_seqlevels, collapse = ", "), "), unless you\n", " use 'force=TRUE' to also drop elements in 'x' ", "where those seqlevels are used\n", " (e.g. with 'seqlevels(x, force=TRUE) <- new_seqlevels').\n", " Alternatively, you can also subset 'x' first.") dangling_seqlevels } ### Compute the new seqnames resulting from new seqlevels. ### Assumes that 'seqnames(x)' is a 'factor' Rle (which is true if 'x' is a ### GRanges or GAlignments object, but not if it's a GRangesList object), ### and returns a 'factor' Rle of the same length (and same runLength vector). makeNewSeqnames <- function(x, new2old=NULL, new_seqlevels) { if (!is.character(new_seqlevels) || any(is.na(new_seqlevels))) stop("the supplied 'seqlevels' must be a character vector with no NAs") new_N <- length(new_seqlevels) old_N <- length(seqlevels(x)) x_seqnames <- seqnames(x) if (is.null(new2old)) { if (new_N < old_N || !identical(new_seqlevels[seq_len(old_N)], seqlevels(x))) stop("when 'new2old' is NULL, the first elements in the\n", " supplied 'seqlevels' must be identical to 'seqlevels(x)'") levels(x_seqnames) <- new_seqlevels return(x_seqnames) } old2new <- .reverseNew2old(new2old, new_N, old_N) tmp <- runValue(x_seqnames) levels(tmp) <- new_seqlevels[old2new] runValue(x_seqnames) <- factor(as.character(tmp), levels=new_seqlevels) return(x_seqnames) } ### Returns -2 for "subsetting" mode, -1 for "renaming" mode, or an integer ### vector containing the mapping from the new to the old levels for "general" ### mode (i.e. a combination of renaming and/or subsetting). Note that this ### integer vector is guaranteed to contain no negative values. getSeqlevelsReplacementMode <- function(new_seqlevels, old_seqlevels) { ## Only check for NAs. Duplicated or zero-length values will be rejected ## later by the Seqinfo() constructor. if (!is.character(new_seqlevels) || any(is.na(new_seqlevels))) stop("the supplied 'seqlevels' must be a character vector with no NAs") nsl_names <- names(new_seqlevels) if (!is.null(nsl_names)) { nonempty_names <- nsl_names[!(nsl_names %in% c(NA, ""))] if (any(duplicated(nonempty_names)) || length(setdiff(nonempty_names, old_seqlevels)) != 0L) stop("the names of the supplied 'seqlevels' contain duplicates ", "or invalid sequence levels") return(match(nsl_names, old_seqlevels)) } if (length(new_seqlevels) != length(old_seqlevels)) return(-2L) is_renamed <- new_seqlevels != old_seqlevels tmp <- intersect(new_seqlevels[is_renamed], old_seqlevels[is_renamed]) if (length(tmp) != 0L) return(-2L) return(-1L) } ### Returns a logical vector of the same length as 'new_seqinfo' indicating ### whether the length or circularity flag of the corresponding sequence have ### changed. Assumes that the 'new2old' mapping is valid (see .reverseNew2old() ### function above for what this means exactly). NAs in 'new2old' are ### propagated to the result. sequenceGeometryHasChanged <- function(new_seqinfo, old_seqinfo, new2old=NULL) { ans_len <- length(new_seqinfo) if (is.null(new2old)) { idx1 <- idx2 <- seq_len(ans_len) } else { idx1 <- which(!is.na(new2old)) idx2 <- new2old[idx1] } new_seqlengths <- seqlengths(new_seqinfo)[idx1] old_seqlengths <- seqlengths(old_seqinfo)[idx2] new_isCircular <- isCircular(new_seqinfo)[idx1] old_isCircular <- isCircular(old_seqinfo)[idx2] hasNotChanged <- function(x, y) (is.na(x) & is.na(y)) | (is.na(x) == is.na(y) & x == y) ans <- logical(ans_len) ans[] <- NA ans[idx1] <- !(hasNotChanged(new_seqlengths, old_seqlengths) & hasNotChanged(new_isCircular, old_isCircular)) ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqinfo() getter and setter ### setGeneric("seqinfo", function(x) standardGeneric("seqinfo")) setGeneric("seqinfo<-", signature="x", function(x, new2old=NULL, force=FALSE, value) standardGeneric("seqinfo<-") ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqnames() getter and setter ### setGeneric("seqnames", function(x) standardGeneric("seqnames")) setGeneric("seqnames<-", signature="x", function(x, value) standardGeneric("seqnames<-") ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqlevels() getter and setter ### setGeneric("seqlevels", function(x) standardGeneric("seqlevels")) ### Default "seqlevels" method works on any object 'x' with a working ### "seqinfo" method. setMethod("seqlevels", "ANY", function(x) seqlevels(seqinfo(x))) setGeneric("seqlevels<-", signature="x", function(x, force=FALSE, value) standardGeneric("seqlevels<-") ) ### Default "seqlevels<-" method works on any object 'x' with working ### "seqinfo" and "seqinfo<-" methods. setReplaceMethod("seqlevels", "ANY", function(x, force=FALSE, value) { ## Make the new Seqinfo object. x_seqinfo <- seqinfo(x) seqlevels(x_seqinfo) <- value ## Map the new sequence levels to the old ones. new2old <- getSeqlevelsReplacementMode(value, seqlevels(x)) if (identical(new2old, -2L)) { new2old <- match(value, seqlevels(x)) } else if (identical(new2old, -1L)) { new2old <- seq_len(length(value)) } ## Do the replacement. seqinfo(x, new2old=new2old, force=force) <- x_seqinfo x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### sortSeqlevels() ### setGeneric("sortSeqlevels", signature="x", function(x, X.is.sexchrom=NA) standardGeneric("sortSeqlevels") ) setMethod("sortSeqlevels", "character", function(x, X.is.sexchrom=NA) { x[order(makeSeqnameIds(x, X.is.sexchrom=X.is.sexchrom))] } ) setMethod("sortSeqlevels", "ANY", function(x, X.is.sexchrom=NA) { seqlevels(x) <- sortSeqlevels(seqlevels(x), X.is.sexchrom=X.is.sexchrom) x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqlevelsInUse() getter ### setGeneric("seqlevelsInUse", function(x) standardGeneric("seqlevelsInUse")) ### Covers GenomicRanges and GAlignments objects. setMethod("seqlevelsInUse", "Vector", function(x) { f <- runValue(seqnames(x)) levels(f)[tabulate(f, nbins=nlevels(f)) != 0L] } ) ### Covers GRangesList and GAlignmentsList objects. setMethod("seqlevelsInUse", "CompressedList", function(x) seqlevelsInUse(x@unlistData) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqlevels0() getter ### ### Currently applicable to TranscriptDb only. setGeneric("seqlevels0", function(x) standardGeneric("seqlevels0")) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqlengths() getter and setter ### setGeneric("seqlengths", function(x) standardGeneric("seqlengths")) ### Default "seqlengths" method works on any object 'x' with a working ### "seqinfo" method. setMethod("seqlengths", "ANY", function(x) seqlengths(seqinfo(x))) setGeneric("seqlengths<-", signature="x", function(x, value) standardGeneric("seqlengths<-") ) ### Default "seqlengths<-" method works on any object 'x' with working ### "seqinfo" and "seqinfo<-" methods. setReplaceMethod("seqlengths", "ANY", function(x, value) { seqlengths(seqinfo(x)) <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### isCircular() getter and setter ### setGeneric("isCircular", function(x) standardGeneric("isCircular")) ### Default "isCircular" method works on any object 'x' with a working ### "seqinfo" method. setMethod("isCircular", "ANY", function(x) isCircular(seqinfo(x))) setGeneric("isCircular<-", signature="x", function(x, value) standardGeneric("isCircular<-") ) ### Default "isCircular<-" method works on any object 'x' with working ### "seqinfo" and "seqinfo<-" methods. setReplaceMethod("isCircular", "ANY", function(x, value) { isCircular(seqinfo(x)) <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### genome() getter and setter ### setGeneric("genome", function(x) standardGeneric("genome")) ### Default "genome" method works on any object 'x' with a working ### "seqinfo" method. setMethod("genome", "ANY", function(x) genome(seqinfo(x))) setGeneric("genome<-", signature="x", function(x, value) standardGeneric("genome<-") ) ### Default "genome<-" method works on any object 'x' with working ### "seqinfo" and "seqinfo<-" methods. setReplaceMethod("genome", "ANY", function(x, value) { genome(seqinfo(x)) <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqnameStyle() getter and setter ### setGeneric("seqnameStyle", function(x) standardGeneric("seqnameStyle")) ### Default "seqnameStyle" method works on any object 'x' with a working ### "seqinfo" method. setMethod("seqnameStyle", "ANY", function(x) seqnameStyle(seqinfo(x))) setGeneric("seqnameStyle<-", signature="x", function(x, value) standardGeneric("seqnameStyle<-") ) ### Default "seqnameStyle<-" method works on any object 'x' with working ### "seqinfo" and "seqinfo<-" methods. setReplaceMethod("seqnameStyle", "ANY", function(x, value) { x_seqinfo <- seqinfo(x) seqnameStyle(x_seqinfo) <- value new2old <- seq_len(length(x_seqinfo)) seqinfo(x, new2old=new2old) <- x_seqinfo x } ) GenomicRanges/R/seqlevels-utils.R0000644000126300012640000000310712227070333020343 0ustar00biocbuildphs_compbio### ========================================================================= ### Utility functions for subsetting and renaming seqlevels ### ------------------------------------------------------------------------- keepSeqlevels <- function(x, value, ...) { value <- unname(value) if (any(nomatch <- !value %in% seqlevels(x))) warning("invalid seqlevels '", paste(value[nomatch], collapse=","), "' were ignored") seqlevels(x, force=TRUE) <- value[!nomatch] x } dropSeqlevels <- function(x, value, ...) { value <- unname(value) if (any(nomatch <- !value %in% seqlevels(x))) warning("invalid seqlevels '", paste(value[nomatch], collapse=","), "' were ignored") seqlevels(x, force=TRUE) <- seqlevels(x)[!seqlevels(x) %in% value] x } renameSeqlevels <- function(x, value, ...) { nms <- names(value) ## unnamed if (is.null(nms)) { if (length(value) != length(seqlevels(x))) stop("unnamed 'value' must be the same length as seqlevels(x)") names(value) <- seqlevels(x) ## named } else { if (any(nomatch <- !nms %in% seqlevels(x))) warning("invalid seqlevels '", paste(nms[nomatch], collapse=","), "' were ignored") if (length(value) != length(seqlevels(x))) { level <- seqlevels(x) level[level %in% nms] <- value value <- level } } seqlevels(x) <- value x } ## Currently applies to TranscriptDb only. restoreSeqlevels <- function(x, ...) { seqlevels0(x) x } GenomicRanges/R/setops-methods.R0000644000126300012640000003155012227070333020163 0ustar00biocbuildphs_compbio### ========================================================================= ### Set operations ### ------------------------------------------------------------------------- ### TODO: What's the impact of circularity on the set operations? setMethod("union", c("GRanges", "GRanges"), function(x, y, ignore.strand=FALSE, ...) { if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(x) <- strand(y) <- "*" mcols(x) <- mcols(y) <- NULL # so we can do 'c(x, y)' below reduce(c(x, y), drop.empty.ranges=TRUE) } ) setMethod("intersect", c("GRanges", "GRanges"), function(x, y, ignore.strand=FALSE, ...) { if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(x) <- strand(y) <- "*" mcols(x) <- mcols(y) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) ## If merge() is going to issue a warning, we don't want to get ## it twice. seqinfo(y) <- suppressWarnings(merge(seqinfo(y), seqinfo(x))) seqlengths <- seqlengths(x) ## If the length of a sequence is unknown (NA), then we use ## the max end value found on that sequence in 'x' or 'y'. seqlengths[is.na(seqlengths)] <- maxEndPerGRangesSequence(c(x, y))[is.na(seqlengths)] setdiff(x, gaps(y, end=seqlengths)) } ) setMethod("setdiff", c("GRanges", "GRanges"), function(x, y, ignore.strand=FALSE, ...) { if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(x) <- strand(y) <- "*" mcols(x) <- mcols(y) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) ## If merge() is going to issue a warning, we don't want to get ## it twice. seqinfo(y) <- suppressWarnings(merge(seqinfo(y), seqinfo(x))) seqlengths <- seqlengths(x) ## If the length of a sequence is unknown (NA), then we use ## the max end value found on that sequence in 'x' or 'y'. seqlengths[is.na(seqlengths)] <- maxEndPerGRangesSequence(c(x, y))[is.na(seqlengths)] gaps(union(gaps(x, end=seqlengths), y), end=seqlengths) } ) ### ========================================================================= ### Parallel set operations ### ------------------------------------------------------------------------- ## check for equality without requiring identical level sets ## instead, one level set must be subset of the other, like merge,Seqinfo compatibleSeqnames <- function(x, y) { if (length(x) != length(y)) stop("'x' and 'y' must be of equal length") if (!is(x, "Rle") || !is(y, "Rle")) stop("'x' and 'y' must be Rle objects") xLevels <- levels(x) yLevels <- levels(y) if (length(xLevels) > length(yLevels)) diffLevels <- setdiff(yLevels, xLevels) else diffLevels <- setdiff(xLevels, yLevels) if (length(diffLevels)) stop("Level set of 'x' must be subset of that of 'y', or vice versa") runValue(x) <- as.character(runValue(x)) runValue(y) <- as.character(runValue(y)) x == y } allCompatibleSeqnamesAndStrand <- function(x, y) { all(compatibleSeqnames(seqnames(x), seqnames(y)) & compatibleStrand(strand(x), strand(y))) } setMethod("punion", c("GRanges", "GRanges"), function(x, y, fill.gap=FALSE, ignore.strand=FALSE, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(y) <- strand(x) mcols(x) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) if (!allCompatibleSeqnamesAndStrand(x, y)) stop("'x' and 'y' elements must have compatible 'seqnames' ", "and 'strand' values") ranges(x) <- punion(ranges(x), ranges(y), fill.gap=fill.gap) x } ) ### FIXME: This is currently not doing a "punion" at all. It just appends ### the ranges in 'y' to their corresponding element in 'x'. ### 2 proposals for a more punion-like semantic: ### (a) for (i in seq_len(length(x))) ### x[[i]] <- punion(x[[i]], y[rep.int(i, length(x[[i]]))]) ### (b) for (i in seq_len(length(x))) ### x[[i]] <- union(x[[i]], y[i]) ### Note that behaviour (b) could also be considered a valid candidate for ### a union,GRangesList,GRanges method (which we don't have at the moment). setMethod("punion", c("GRangesList", "GRanges"), function(x, y, fill.gap=FALSE, ...) { n <- length(x) if (n != length(y)) stop("'x' and 'y' must have the same length") mcols(x@unlistData) <- NULL mcols(y) <- NULL ans <- split(c(x@unlistData, y), c(Rle(seq_len(n), elementLengths(x)), Rle(seq_len(n)))) names(ans) <- names(x) ans } ) setMethod("punion", c("GRanges", "GRangesList"), function(x, y, fill.gap=FALSE, ...) { callGeneric(y, x) } ) setMethod("pintersect", c("GRanges", "GRanges"), function(x, y, resolve.empty=c("none", "max.start", "start.x"), ignore.strand=FALSE, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(y) <- strand(x) resolve.empty <- match.arg(resolve.empty) mcols(x) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) if (!allCompatibleSeqnamesAndStrand(x, y)) stop("'x' and 'y' elements must have compatible 'seqnames' ", "and 'strand' values") ## Update the ranges. ranges(x) <- pintersect(ranges(x), ranges(y), resolve.empty=resolve.empty) ## Update the strand. ansStrand <- strand(x) resolveStrand <- as(ansStrand == "*", "IRanges") if (length(resolveStrand) > 0L) ansStrand[as.integer(resolveStrand)] <- IRanges:::extractROWS(strand(y), resolveStrand) strand(x) <- ansStrand x } ) ### TODO: Like for "punion", the semantic of the ### pintersect,GRangesList,GRanges method should simply derive from ### the semantic of the pintersect,GRanges,GRanges. Then the ### implementation and documentation will be both much easier to understand. ### It's hard to guess what's the current semantic of this method is by ### just looking at the code below, but it doesn't seem to be one of: ### (a) for (i in seq_len(length(x))) ### x[[i]] <- pintersect(x[[i]], y[rep.int(i, length(x[[i]]))]) ### (b) for (i in seq_len(length(x))) ### x[[i]] <- intersect(x[[i]], y[i]) ### It seems to be close to (b) but with special treatment of the "*" ### strand value in 'y'. ### FIXME: 'resolve.empty' is silently ignored. setMethod("pintersect", c("GRangesList", "GRanges"), function(x, y, resolve.empty=c("none", "max.start", "start.x"), ignore.strand=FALSE, ...) { ## TODO: Use "seqinfo<-" method for GRangesList objects when it ## becomes available. seqinfo(x@unlistData) <- merge(seqinfo(x), seqinfo(y)) if (length(x) != length(y)) stop("'x' and 'y' must have the same length") ok <- compatibleSeqnames(seqnames(x@unlistData), rep(seqnames(y), elementLengths(x))) if (!ignore.strand) ok <- ok & compatibleStrand(strand(x@unlistData), rep(strand(y), elementLengths(x))) ok <- new2("CompressedLogicalList", unlistData=as.vector(ok), partitioning=x@partitioning) if (ncol(mcols(x@unlistData)) > 0L) mcols(x@unlistData) <- NULL if (ncol(mcols(y)) > 0L) mcols(y) <- NULL x <- x[ok] y <- rep(y, sum(ok)) x@unlistData@ranges <- pintersect(x@unlistData@ranges, y@ranges, resolve.empty="start.x") x[width(x) > 0L] } ) setMethod("pintersect", c("GRanges", "GRangesList"), function(x, y, resolve.empty=c("none", "max.start", "start.x"), ...) { callGeneric(y, x) } ) ### TODO: Revisit this method (seems to do strange things). setMethod("pintersect", c("GAlignments", "GRanges"), function(x, y, ...) { bounds <- try(callGeneric(granges(x), y), silent=TRUE) if (inherits(bounds, "try-error")) stop("CIGAR is empty after intersection") start <- start(bounds) - start(x) + 1L start[which(start < 1L)] <- 1L end <- end(bounds) - end(x) - 1L end[which(end > -1L)] <- -1L narrow(x, start=start, end=end) } ) setMethod("pintersect", c("GRanges", "GAlignments"), function(x, y, ...) { callGeneric(y, x) } ) setMethod("pintersect", c("GRangesList", "GRangesList"), function(x, y, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) seqlevels(y) <- seqlevels(x) xgr <- deconstructGRLintoGR(x) ygr <- deconstructGRLintoGR(y) gr <- intersect(xgr, ygr, ...) reconstructGRLfromGR(gr, x) } ) setMethod("psetdiff", c("GRanges", "GRanges"), function(x, y, ignore.strand=FALSE, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(y) <- strand(x) mcols(x) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) ok <- compatibleSeqnames(seqnames(x), seqnames(y)) & compatibleStrand(strand(x), strand(y)) ## Update the ranges. ansRanges <- ranges(x) ansRanges <- IRanges:::replaceROWS(ansRanges, ok, callGeneric(IRanges:::extractROWS(ranges(x), ok), IRanges:::extractROWS(ranges(y), ok))) ranges(x) <- ansRanges ## Update the strand. ansStrand <- strand(x) resolveStrand <- as(ansStrand == "*", "IRanges") if (length(resolveStrand) > 0L) ansStrand[as.integer(resolveStrand)] <- IRanges:::extractROWS(strand(y), resolveStrand) strand(x) <- ansStrand x } ) ### TODO: Review the semantic of this method (see previous TODO's for ### "punion" and "pintersect" methods for GRanges,GRangesList). setMethod("psetdiff", c("GRanges", "GRangesList"), function(x, y, ignore.strand = FALSE, ...) { ansSeqinfo <- merge(seqinfo(x), seqinfo(y)) if (length(x) != length(y)) stop("'x' and 'y' must have the same length") ok <- compatibleSeqnames(rep(seqnames(x), elementLengths(y)), seqnames(y@unlistData)) if (!ignore.strand) ok <- ok & compatibleStrand(rep(strand(x), elementLengths(y)), strand(y@unlistData)) if (!all(ok)) { ok <- new2("CompressedLogicalList", unlistData=as.vector(ok), partitioning=y@partitioning) y <- y[ok] } ansRanges <- gaps(ranges(y), start=start(x), end=end(x)) ansSeqnames <- rep(seqnames(x), elementLengths(ansRanges)) ansStrand <- rep(strand(x), elementLengths(ansRanges)) ansGRanges <- GRanges(ansSeqnames, unlist(ansRanges, use.names=FALSE), ansStrand) seqinfo(ansGRanges) <- ansSeqinfo relist(ansGRanges, PartitioningByEnd(ansRanges)) } ) ### Equivalent to 'mendoapply(setdiff, x, y)'. setMethod("psetdiff", c("GRangesList", "GRangesList"), function(x, y, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) seqlevels(y) <- seqlevels(x) xgr <- deconstructGRLintoGR(x) ygr <- deconstructGRLintoGR(y) gr <- setdiff(xgr, ygr, ...) reconstructGRLfromGR(gr, x) } ) setMethod("pgap", c("GRanges", "GRanges"), function(x, y, ignore.strand=FALSE, ...) { if (length(x) != length(y)) stop("'x' and 'y' must have the same length") if (!isTRUEorFALSE(ignore.strand)) stop("'ignore.strand' must be TRUE or FALSE") if (ignore.strand) strand(y) <- strand(x) mcols(x) <- NULL seqinfo(x) <- merge(seqinfo(x), seqinfo(y)) if (!allCompatibleSeqnamesAndStrand(x, y)) stop("'x' and 'y' elements must have compatible 'seqnames' ", "and 'strand' values") ranges(x) <- pgap(ranges(x), ranges(y)) x } ) GenomicRanges/R/strand-utils.R0000644000126300012640000000725712227070333017645 0ustar00biocbuildphs_compbio### Strand utilities. setMethod("strand", "missing", function(x) factor(levels=c("+","-","*"))) setMethod("strand", "character", function(x) { lvls <- levels(strand()) if (!all(is.na(x) | (x %in% lvls))) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") factor(x, levels=lvls) }) setMethod("strand", "factor", function(x) { lvls <- levels(strand()) if (length(setdiff(levels(x), lvls))) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") factor(x, levels=lvls) }) setMethod("strand", "integer", function(x) { lvls <- c(1L, -1L, NA) if (length(setdiff(x, lvls))) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") ans <- strand() length(ans) <- length(x) ans[x == 1L] <- "+" ans[x == -1L] <- "-" ans }) setMethod("strand", "logical", function(x) { ans <- strand() length(ans) <- length(x) ans[!x] <- "+" ans[ x] <- "-" ans }) setMethod("strand", "Rle", function(x) { x_runValue <- runValue(x) if (!is.logical(x_runValue)) stop("only 'logical'-Rle's are supported by \"strand\" method", "for Rle objects at the moment, sorry") runValue(x) <- strand(x_runValue) x }) setMethod("strand", "DataTable", function(x) { ans <- x[["strand"]] if (is.null(ans)) ans <- strand(rep(NA_character_, nrow(x))) else if (is.character(ans)) ans <- strand(ans) else if (is(ans, "Rle")) ans <- as.factor(ans) ans }) setReplaceMethod("strand", "DataTable", function(x, value) { x$strand <- normargGenomicRangesStrand(value, nrow(x)) x }) setGeneric("compatibleStrand", signature=c("x","y"), # not exported function(x, y) standardGeneric("compatibleStrand") ) setMethod("compatibleStrand", c("factor", "factor"), # not exported function(x, y) { lvls <- levels(strand()) if (length(x) != length(y)) stop("'x' and 'y' must be of equal length") if (!identical(levels(x), lvls) || !identical(levels(y), lvls)) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") levels(x) <- c("1", "-1", "0") x <- as.integer(as.character(x)) levels(y) <- c("1", "-1", "0") y <- as.integer(as.character(y)) ans <- x * y != -1L if (IRanges:::anyMissing(ans)) { fix <- which(is.na(ans)) ans[fix] <- (x[fix] == 0L) | (y[fix] == 0L) if (IRanges:::anyMissing(ans)) ans[is.na(ans)] <- FALSE } ans } ) setMethod("compatibleStrand", c("Rle", "Rle"), # not exported function(x, y) { lvls <- levels(strand()) if (length(x) != length(y)) stop("'x' and 'y' must be of equal length") if (!identical(levels(runValue(x)), lvls) || !identical(levels(runValue(y)), lvls)) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") levels(x) <- c("1", "-1", "0") runValue(x) <- as.integer(as.character(runValue(x))) levels(y) <- c("1", "-1", "0") runValue(y) <- as.integer(as.character(runValue(y))) ans <- x * y != -1L if (IRanges:::anyMissing(runValue(ans))) { fix <- which(is.na(runValue(ans))) runValue(ans)[fix] <- (runValue(x) == 0L)[fix] | (runValue(y)[fix] == 0L) if (IRanges:::anyMissing(runValue(ans))) runValue(ans)[is.na(runValue(ans))] <- FALSE } ans } ) GenomicRanges/R/summarizeOverlaps.R0000644000126300012640000001452412227070333020737 0ustar00biocbuildphs_compbio## ------------------------------------------------------------------------- ## summarizeOverlaps methods and related utilities ## ------------------------------------------------------------------------- setGeneric("summarizeOverlaps", signature=c("features", "reads"), function(features, reads, mode=Union, ignore.strand=FALSE, ...) { standardGeneric("summarizeOverlaps") }) ## ------------------------------------------------------------------------- ## BamFiles and BamViews methods are in Rsamtools ## ## ------------------------------------------------------------------------- ## GAlignments, GAlignmentsList and GAlignmentPairs methods ## .dispatchOverlaps <- function(features, reads, mode, ignore.strand, inter.feature, ...) { if (ignore.strand) { if (class(features) == "GRangesList") { r <- unlist(features) strand(r) <- "*" features@unlistData <- r } else { strand(features) <- "*" } } mode(features, reads, ignore.strand, inter.feature=inter.feature) } .summarizeOverlaps <- function(features, reads, mode, ignore.strand, ..., inter.feature=inter.feature) { if (all(strand(reads) == "*")) ignore.strand <- TRUE mode <- match.fun(mode) counts <- .dispatchOverlaps(features, reads, mode, ignore.strand, inter.feature=inter.feature) colData <- DataFrame(object=class(reads), records=length(reads), row.names="reads") SummarizedExperiment(assays=SimpleList(counts=as.matrix(counts)), rowData=features, colData=colData) } setMethod("summarizeOverlaps", c("GRanges", "GAlignments"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, reads, mode, ignore.strand, ..., inter.feature=inter.feature) }) setMethod("summarizeOverlaps", c("GRangesList", "GAlignments"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, reads, mode, ignore.strand, ..., inter.feature=inter.feature) }) setMethod("summarizeOverlaps", c("GRanges", "GAlignmentsList"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, grglist(reads, ignore.strand=TRUE), mode, ignore.strand, ..., inter.feature=inter.feature) }) setMethod("summarizeOverlaps", c("GRangesList", "GAlignmentsList"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, grglist(reads, ignore.strand=TRUE), mode, ignore.strand, ..., inter.feature=inter.feature) }) setMethod("summarizeOverlaps", c("GRanges", "GAlignmentPairs"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, grglist(reads), mode, ignore.strand, ..., inter.feature=inter.feature) }) setMethod("summarizeOverlaps", c("GRangesList", "GAlignmentPairs"), function(features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) { .summarizeOverlaps(features, grglist(reads), mode, ignore.strand, ..., inter.feature=inter.feature) }) ## ------------------------------------------------------------------------- ## 'mode' functions ## Union <- function(features, reads, ignore.strand=FALSE, inter.feature=TRUE) { ov <- findOverlaps(features, reads, ignore.strand=ignore.strand) if (inter.feature) { ## Remove ambigous reads. reads_to_keep <- which(countSubjectHits(ov) == 1L) ov <- ov[subjectHits(ov) %in% reads_to_keep] } countQueryHits(ov) } ## Drop from 'reads' circular seqlevels that are in use in *both*: 'reads' ## and 'features'. .dropCircularSeqlevelsInUse <- function(reads, features) { seqlevels_in_use <- intersect(seqlevelsInUse(reads), seqlevelsInUse(features)) seqinfo <- merge(seqinfo(reads), seqinfo(features)) is_circ <- isCircular(seqinfo) circular_seqlevels <- names(is_circ)[is_circ] seqlevels_to_drop <- intersect(seqlevels_in_use, circular_seqlevels) if (length(seqlevels_to_drop) != 0L) { warning("reads on circular sequence(s) '", paste(seqlevels_to_drop, sep="', '"), "' were ignored") seqlevels(reads, force=TRUE) <- setdiff(seqlevels(reads), seqlevels_to_drop) } reads } IntersectionStrict <- function(features, reads, ignore.strand=FALSE, inter.feature=TRUE) { reads <- .dropCircularSeqlevelsInUse(reads, features) ov <- findOverlaps(reads, features, type="within", ignore.strand=ignore.strand) if (inter.feature) { ## Remove ambigous reads. reads_to_keep <- which(countQueryHits(ov) == 1L) ov <- ov[queryHits(ov) %in% reads_to_keep] } countSubjectHits(ov) } .removeSharedRegions <- function(features, ignore.strand=FALSE) { if (is(features, "GRanges")) { regions <- disjoin(features, ignore.strand=ignore.strand) } else if (is(features, "GRangesList")) { regions <- disjoin(features@unlistData, ignore.strand=ignore.strand) } else { stop("internal error") # should never happen } ov <- findOverlaps(features, regions, ignore.strand=ignore.strand) regions_to_keep <- which(countSubjectHits(ov) == 1L) ov <- ov[subjectHits(ov) %in% regions_to_keep] ans_flesh <- regions[subjectHits(ov)] ## Using 'countQueryHits(ov)' to compute the skeleton of 'ans' relies ## on the assumption that the hits returned by findOverlaps() are always ## ordered by query. ans_eltlens <- countQueryHits(ov) ans_skeleton <- PartitioningByEnd(cumsum(ans_eltlens)) relist(ans_flesh, ans_skeleton) } IntersectionNotEmpty <- function(features, reads, ignore.strand=FALSE, inter.feature=TRUE) { features <- .removeSharedRegions(features, ignore.strand=ignore.strand) Union(features, reads, ignore.strand=ignore.strand, inter.feature=inter.feature) } GenomicRanges/R/test_GenomicRanges_package.R0000644000126300012640000000010012227070333022423 0ustar00biocbuildphs_compbio.test <- function() BiocGenerics:::testPackage("GenomicRanges") GenomicRanges/R/tileGenome.R0000644000126300012640000001445012227070333017275 0ustar00biocbuildphs_compbio### ========================================================================= ### tileGenome() ### ------------------------------------------------------------------------- .make_breakpoints_for_cut_last_tile_in_chrom <- function(seqlengths, tilewidth) { tile_relative_breakpoints <- lapply(seqlengths, function(seqlength) { nfulltile <- seqlength %/% tilewidth if (nfulltile == 0L) return(seqlength) relative_breakpoints <- ceiling(tilewidth * seq_len(nfulltile)) if (relative_breakpoints[[nfulltile]] >= seqlength) return(relative_breakpoints) c(relative_breakpoints, seqlength) }) chrom_breakpoints <- cumsum(as.numeric(seqlengths)) chrom_offsets <- c(0, head(chrom_breakpoints, n=-1L)) ntile_per_chrom <- elementLengths(tile_relative_breakpoints) unlist(tile_relative_breakpoints, use.names=FALSE) + rep.int(chrom_offsets, ntile_per_chrom) } ### 'old_breakpoints' and 'new_breakpoints' must be non-negative non-decreasing ### numeric or integer vectors of length >= 1 with no NAs. In addition, ### 'old_breakpoints' must be named. None of this is checked (we trust the ### caller). ### Returns a NumericList (or IntegerList) object with one list element per ### unique new breakpoint. .superimpose_breakpoints <- function(old_breakpoints, new_breakpoints) { ## Set names on 'new_breakpoints'. new2old <- 1L + findInterval(new_breakpoints - 1L, old_breakpoints) names(new_breakpoints) <- names(old_breakpoints)[new2old] ## Compute 'all_breakpoints'. all_breakpoints <- c(old_breakpoints, new_breakpoints) unique_idx <- !duplicated(all_breakpoints) all_breakpoints <- all_breakpoints[unique_idx] ## Compute 'all2new' mapping. old2new <- 1L + findInterval(old_breakpoints - 1L, new_breakpoints) all2new <- c(old2new, seq_along(new_breakpoints)) all2new <- all2new[unique_idx] ## Compute and return final result. unname(splitAsList(all_breakpoints, all2new)) } .get_relative_ends <- function(absolute_ends, chrom_breakpoints) { chrom_offsets <- c(0, head(chrom_breakpoints, n=-1L)) names(chrom_offsets) <- names(chrom_breakpoints) absolute_ends <- unlist(absolute_ends, use.names=FALSE) absolute_ends - chrom_offsets[names(absolute_ends)] } .get_relative_starts <- function(relative_ends, seqnames) { relative_starts <- rep.int(1L, length(relative_ends)) run_lens <- runLength(seqnames) run_starts <- c(1L, cumsum(head(run_lens, n=-1L)) + 1L) idx <- IRanges:::fancy_mseq(run_lens - 1L, offset=run_starts) relative_starts[idx] <- relative_ends[idx - 1L] + 1L relative_starts } ### 'seqlengths' must be a non-negative numeric or integer vector of length ### >= 1 with no NAs and with unique names. ### Only one of 'ntile' and 'tilewidth' can be specified. tileGenome <- function(seqlengths, ntile, tilewidth, cut.last.tile.in.chrom=FALSE) { if (!isTRUEorFALSE(cut.last.tile.in.chrom)) stop("'cut.last.tile.in.chrom' must be TRUE or FALSE") if (is(seqlengths, "Seqinfo")) { gr_seqinfo <- seqlengths seqlengths <- seqlengths(seqlengths) } else { gr_seqinfo <- NULL } ## Check 'seqlengths'. if (!is.numeric(seqlengths) || length(seqlengths) == 0L) stop("'seqlengths' must be a non-empty numeric vector") seqlengths_names <- names(seqlengths) if (is.null(seqlengths_names)) stop("'seqlengths' must be named") if (any(seqlengths_names %in% c(NA_character_, ""))) stop("'seqlengths' has names that are NA or the empty string") if (any(duplicated(seqlengths_names))) stop("'seqlengths' has duplicated names") if (!is.integer(seqlengths)) seqlengths <- setNames(as.integer(seqlengths), seqlengths_names) if (IRanges:::anyMissingOrOutside(seqlengths, lower=0L)) stop("'seqlengths' contains NAs or negative values") chrom_breakpoints <- setNames(cumsum(as.numeric(seqlengths)), seqlengths_names) genome_size <- chrom_breakpoints[[length(chrom_breakpoints)]] if (!missing(ntile)) { if (!missing(tilewidth)) stop("only one of 'ntile' and 'tilewidth' can be specified") if (cut.last.tile.in.chrom) stop("'cut.last.tile.in.chrom' must be FALSE ", "when 'ntile' is supplied") ## Check 'ntile'. if (!isSingleNumber(ntile)) stop("'ntile' must be a single number") if (ntile < 1 || ntile > genome_size) stop("'ntile' must be >= 1 and <= genome size") if (!is.integer(ntile)) { if (ntile > .Machine$integer.max) stop("'ntile' must be <= .Machine$integer.max") ntile <- as.integer(ntile) } } else { if (missing(tilewidth)) stop("one of 'ntile' and 'tilewidth' must be specified") ## Check 'tilewidth'. if (!isSingleNumber(tilewidth)) stop("'tilewidth' must be a single number") if (tilewidth < 1 || tilewidth > genome_size) stop("'tilewidth' must be >= 1 and <= genome size") if (cut.last.tile.in.chrom) { tile_breakpoints <- .make_breakpoints_for_cut_last_tile_in_chrom(seqlengths, tilewidth) } else { ntile <- ceiling(genome_size / tilewidth) if (ntile > .Machine$integer.max) stop("this 'tilewidth' is too small") ntile <- as.integer(ntile) } } if (!cut.last.tile.in.chrom) { tilewidth <- genome_size / ntile tile_breakpoints <- ceiling(tilewidth * seq_len(ntile)) } absolute_ends <- .superimpose_breakpoints(chrom_breakpoints, tile_breakpoints) gr_end <- .get_relative_ends(absolute_ends, chrom_breakpoints) gr_seqnames <- Rle(factor(names(gr_end), levels=names(seqlengths))) gr_start <- .get_relative_starts(gr_end, gr_seqnames) if (is.null(gr_seqinfo)) gr_seqinfo <- Seqinfo(seqnames=names(seqlengths), seqlengths=seqlengths) gr <- GRanges(gr_seqnames, IRanges(gr_start, gr_end), seqinfo=gr_seqinfo) if (cut.last.tile.in.chrom) return(gr) relist(gr, absolute_ends) } GenomicRanges/R/transcript-utils.R0000644000126300012640000000375712227070333020544 0ustar00biocbuildphs_compbio### ------------------------------------------------------------------------- ### Some low-level (non exported) utility functions to operate on transcripts ### represented as groups of exon ranges. ### ### These functions are implemented in C. This file only contains R wrappers ### for the .Call2 entry points. Those wrappers are not doing any argument ### checking and therefore are considered "unsafe". They are in turn called ### by "safe" and user-friendly higher level wrappers defined in ### GenomicFeatures. The reason why the "unsafe" wrappers are here and not in ### the GenomicFeatures package was to keep GenomicFeatures free of native ### code. ### ### For all the functions below: ### o 'exonStarts', 'exonEnds' are assumed to be lists of integer vectors. ### The two lists are assumed to have the "same shape" i.e. ### elementLengths() returns identical vectors on them; ### o 'strand' is assumed to be a character vector with allowed values ### "+" and "-" only; ### o 'decreasing.rank.on.minus.strand' is assumed to be TRUE or FALSE. unsafe.transcriptWidths <- function(exonStarts, exonEnds) { .Call2("transcript_widths", exonStarts, exonEnds, PACKAGE="GenomicRanges") } ### 'tlocs' is assumed to be a list of integer vectors of the same length (but ### not necessarily the "same shape") as 'exonStarts' and 'exonEnds'. unsafe.transcriptLocs2refLocs <- function(tlocs, exonStarts, exonEnds, strand, decreasing.rank.on.minus.strand) { .Call2("tlocs2rlocs", tlocs, exonStarts, exonEnds, strand, decreasing.rank.on.minus.strand, PACKAGE="GenomicRanges") } unsafe.extractTranscripts <- function(classname, x, exonStarts, exonEnds, strand, decreasing.rank.on.minus.strand, lkup) { .Call2("extract_transcripts", classname, x, exonStarts, exonEnds, strand, decreasing.rank.on.minus.strand, lkup, PACKAGE="GenomicRanges") } GenomicRanges/R/utils.R0000644000126300012640000001147412227070333016350 0ustar00biocbuildphs_compbio### ========================================================================= ### Some low-level (non exported) utility functions. ### ------------------------------------------------------------------------- ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Used by "show" methods. ### makeClassinfoRowForCompactPrinting <- function(x, col2class) { ans_names <- names(col2class) no_bracket <- ans_names == "" ans_names[no_bracket] <- col2class[no_bracket] left_brackets <- right_brackets <- character(length(col2class)) left_brackets[!no_bracket] <- "<" right_brackets[!no_bracket] <- ">" ans <- paste0(left_brackets, col2class, right_brackets) names(ans) <- ans_names if (ncol(mcols(x)) > 0L) { tmp <- sapply(mcols(x), function(xx) paste0("<", classNameForDisplay(xx), ">")) ans <- c(ans, `|`="|", tmp) } matrix(ans, nrow=1L, dimnames=list("", names(ans))) } showSeqlengths <- function(object, margin="") { seqlens <- seqlengths(object) nseq <- length(seqlens) halfWidth <- getOption("width") %/% 2L first <- max(1L, halfWidth) showMatrix <- rbind(as.character(head(names(seqlens), first)), as.character(head(seqlens, first))) if (nseq > first) { last <- min(nseq - first, halfWidth) showMatrix <- cbind(showMatrix, rbind(as.character(tail(names(seqlens), last)), as.character(tail(seqlens, last)))) } showMatrix <- format(showMatrix, justify="right") cat(margin, "seqlengths:\n", sep="") cat(margin, BiocGenerics:::labeledLine("", showMatrix[1L, ], count=FALSE, labelSep=""), sep="") cat(margin, BiocGenerics:::labeledLine("", showMatrix[2L, ], count=FALSE, labelSep=""), sep="") } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Used by "elementMetadata<-" methods. ### ### Try to turn 'value' into a DataFrame compatible with 'x'. normalizeMetadataColumnsReplacementValue <- function(value, x) { if (is.null(value)) return(new("DataFrame", nrows=length(x))) if (!is(value, "DataFrame")) value <- DataFrame(value) if (!is.null(rownames(value))) rownames(value) <- NULL n <- length(x) k <- nrow(value) if (k == n) return(value) if ((k == 0L) || (k > n) || (n %% k != 0L)) stop(k, " rows in value to replace ", n, " rows") value[rep(seq_len(k), length.out=n), , drop=FALSE] } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Other stuff... ### ### Note that, strictly speaking, mergeNamedAtomicVectors() is not ### commutative, i.e., in general 'z1 <- mergeNamedAtomicVectors(x, y)' is ### not identical to 'z2 <- mergeNamedAtomicVectors(y, x)'. However 'z1' and ### 'z2' are both guaranteed to have unique names and to contain the same set ### of name/value pairs (but typically not in the same order). mergeNamedAtomicVectors <- function(x, y, what=c("key", "values")) { if (!is.atomic(x) || !is.atomic(y) || typeof(x) != typeof(y)) stop("'x' and 'y' must be atomic vectors of the same type") x_names <- names(x) y_names <- names(y) if (is.null(x_names) || is.null(y_names)) stop("'x' and 'y' must have names") ans_names <- union(x_names, y_names) if (any(ans_names %in% c(NA_character_, ""))) stop("some names in 'x' or 'y' are NA or the empty string") ## Note sure why but subsetting by name is *very* slow when the character ## vector used as subscript contains a lot of "invalid" names. I already ## reported this issue twice on the R-devel mailing list (in July 2010 and ## May 2013) with no answer so far. #ans <- x[ans_names] # very slow :-( ans <- x[match(ans_names, x_names)] # much faster :-) ## Some of 'ans' names can be NA. This is because subsetting a named ## vector 'x' by a character vector 'i' returns a vector whose names ## are 'i' except for the values in 'i' that are not in 'names(x)'. ## So we need to fix this. names(ans) <- ans_names #ans2 <- y[ans_names] # very slow :-( ans2 <- y[match(ans_names, y_names)] # much faster :-) idx <- which(ans != ans2) if (length(idx) != 0L) { msg <- c(what[1L], ifelse(length(idx) >= 2, "s", ""), " ", paste(ans_names[idx], collapse=", "), " ", ifelse(length(idx) >= 2, "have", "has"), " incompatible ", what[2L], ":\n - in 'x': ", paste(ans[idx], collapse=", "), "\n - in 'y': ", paste(ans2[idx], collapse=", ")) stop(msg) } idx <- is.na(ans) & !is.na(ans2) ans[idx] <- ans2[idx] ans } hasHead <- function(x, h) { identical(head(x, length(h)), h) } GenomicRanges/R/zzz.R0000644000126300012640000000013312227070333016033 0ustar00biocbuildphs_compbio### .onUnload <- function(libpath) { library.dynam.unload("GenomicRanges", libpath) } GenomicRanges/build/0000755000126300012640000000000012233632026015754 5ustar00biocbuildphs_compbioGenomicRanges/build/vignette.rds0000644000126300012640000000103012233632026020305 0ustar00biocbuildphs_compbio‹ÕTMoÓ@uã¤m" mÅ¡B!®– 'ŽMœÔCP׉=uVØ»î=ñÃa]ï¦vbh9"kmϼñ›·ó6ùÚ³,«eÙjµlõj©Û®Z‡jµÕÕUÏc¤,!Á h„b2ý2Ÿ wFs ¿¬Á©ä,ÌI­O¯‘ÇiÀBB£*Á‰È’8¹E]T‚uǵ.N©BcÎ9uª}ÉœZ¹®{¦ù4*4ðvÀ2*UÂá¡pr"—ΖªÇŒ% /Ë}ÑöX±`]ÄI£7<ý‹3ºäù¶/9jp¥Hß5/E<Ñ¥MÃîÎ$’±Ø$S$Ž¡‰Ÿ-J3ÿî-\/Á(‹@Häîç?pÃäÌE*9šFç”2 Å&ÙB';ÞÐÇ+`¡ÙÂë;所”(ž’t½ûà~£,§Þ§z#™ñõz}„䕃rÚ÷£¢XuÉÞÅp= 0.2 * length(ids)]) ################################################### ### code chunk number 61: cseq_13 ################################################### tmp <- unlist(qseq_on_ref_id2, use.names=FALSE) qseq_on_ref2 <- relist(unlist(qseq_on_ref, use.names=FALSE)[tmp], qseq_on_ref_id2) ################################################### ### code chunk number 62: cseq_14 ################################################### split_factor <- rep.int(seqnames(gr), elementLengths(qseq_on_ref2)) qseq_on_ref2 <- unlist(qseq_on_ref2, use.names=FALSE) qseq_on_ref2_by_chrom <- splitAsList(qseq_on_ref2, split_factor) qseq_pos_by_chrom <- splitAsList(start(gr), split_factor) cm_by_chrom <- lapply(names(qseq_pos_by_chrom), function(seqname) consensusMatrix(qseq_on_ref2_by_chrom[[seqname]], as.prob=TRUE, shift=qseq_pos_by_chrom[[seqname]]-1, width=seqlengths(gr)[[seqname]])) names(cm_by_chrom) <- names(qseq_pos_by_chrom) ################################################### ### code chunk number 63: cseq_15 ################################################### lapply(cm_by_chrom, dim) ################################################### ### code chunk number 64: cseq_16 ################################################### cs_by_chrom <- lapply(cm_by_chrom, function(cm) { ## need to "fix" 'cm' because consensusString() ## doesn't like consensus matrices with columns ## that contain only zeroes (e.g., chromosome ## positions with no coverage) idx <- colSums(cm) == 0L cm["+", idx] <- 1 DNAString(consensusString(cm, ambiguityMap="N")) }) ################################################### ### code chunk number 65: cseq_17 ################################################### cs_by_chrom ################################################### ### code chunk number 66: bim_1 ################################################### library(BSgenome.Scerevisiae.UCSC.sacCer2) set.seed(22) cov <- RleList( lapply(seqlengths(Scerevisiae), function(len) Rle(sample(-10:10, len, replace=TRUE))), compress=FALSE) head(cov, 3) ################################################### ### code chunk number 67: bin_2 ################################################### bins1 <- tileGenome(seqinfo(Scerevisiae), tilewidth=100, cut.last.tile.in.chrom=TRUE) ################################################### ### code chunk number 68: bin_3 ################################################### binnedAverage <- function(bins, numvar, mcolname) { stopifnot(is(bins, "GRanges")) stopifnot(is(numvar, "RleList")) stopifnot(identical(seqlevels(bins), names(numvar))) bins_per_chrom <- split(ranges(bins), seqnames(bins)) means_list <- lapply(names(numvar), function(seqname) { views <- Views(numvar[[seqname]], bins_per_chrom[[seqname]]) viewMeans(views) }) new_mcol <- unsplit(means_list, as.factor(seqnames(bins))) mcols(bins)[[mcolname]] <- new_mcol bins } ################################################### ### code chunk number 69: bin_4 ################################################### bins1 <- binnedAverage(bins1, cov, "binned_cov") bins1 ################################################### ### code chunk number 70: SessionInfo ################################################### sessionInfo() GenomicRanges/inst/doc/GenomicRangesHOWTOs.Rnw0000644000126300012640000006673712227070337022643 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{GenomicRanges HOWTOs} %\VignetteDepends{GenomicRanges, Rsamtools, pasillaBamSubset, TxDb.Dmelanogaster.UCSC.dm3.ensGene, AnnotationHub, DESeq, edgeR, TxDb.Hsapiens.UCSC.hg19.knownGene, GenomicFeatures, Biostrings, BSgenome.Hsapiens.UCSC.hg19, KEGG.db, KEGGgraph, BSgenome.Scerevisiae.UCSC.sacCer2} %\VignetteKeywords{sequence, sequencing, alignments} %\VignettePackage{GenomicRanges} \documentclass{article} \usepackage[authoryear,round]{natbib} \bibliographystyle{plainnat} <>= BiocStyle::latex() @ \title{\Biocpkg{GenomicRanges} HOWTOs} \author{Bioconductor Team} \date{Edited: October 2013; Compiled: \today} \begin{document} \maketitle \tableofcontents <>= options(width=72) options("showHeadLines" = 3) options("showTailLines" = 3) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Introduction} This vignette is a collection of {\it HOWTOs}. Each {\it HOWTO} is a short section that demonstrates how to use the containers and operations implemented in the \Biocpkg{GenomicRanges} and related packages (\Biocpkg{IRanges}, \Biocpkg{GenomicFeatures}, \Biocpkg{Rsamtools}, and \Biocpkg{Biostrings}) to perform a task typically found in the context of a high throughput sequence analysis. The HOWTOs are self contained, independent of each other, and can be studied and reproduced in any order. We assume the reader has some previous experience with \R{} and with basic manipulation of \Rcode{GRanges}, \Rcode{GRangesList}, \Rcode{Rle}, \Rcode{RleList}, and \Rcode{DataFrame} objects. See the ``An Introduction to Genomic Ranges Classes'' vignette located in the \Biocpkg{GenomicRanges} package (in the same folder as this document) for an introduction to these containers. Additional recommended readings after this vignette are the ``Software for Computing and Annotating Genomic Ranges'' paper[\citet{Lawrence2013ranges}] and the ``Counting reads with \Rfunction{summarizeOverlaps}'' vignette located in the \Biocpkg{GenomicRanges} package (in the same folder as this document). To display the list of vignettes available in the \Biocpkg{GenomicRanges}, use \Rcode{browseVignettes("GenomicRanges")}. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{How to read BAM files into \R{}} As sample data we use the \Biocpkg{pasillaBamSubset} data package which contains both a BAM file with single-end reads (untreated1\_chr4) and a BAM file with paired-end reads (untreated3\_chr4). Each file is a subset of chr4 from the "Pasilla" experiment. See ?\Biocpkg{pasillaBamSubset} for details. <>= library(GenomicRanges) library(Rsamtools) library(pasillaBamSubset) un1 <- untreated1_chr4() ## single-end reads @ Several functions are available for reading BAM files into \R{}: \begin{verbatim} scanBam() readGAlignments() readGAlignmentPairs() readGAlignmentsList() \end{verbatim} \Rfunction{scanBam} is a low-level function that returns a list of lists and is not discussed further here. For details see ?\Rfunction{scanBam}. \subsection{Single-end reads} Single-end reads can be loaded with the \Rfunction{readGAlignments} function. <>= un1 <- untreated1_chr4() gal <- readGAlignments(un1) @ Data subsets can be specified by genomic position, field names, or flag criteria in the \Rcode{ScanBamParam}. Here we input records that overlap position 1 to 5000 on the negative strand with \Rcode{flag} and \Rcode{cigar} as metadata columns. <>= what <- c("flag", "cigar") which <- GRanges("chr4", IRanges(1, 5000)) flag <- scanBamFlag(isMinusStrand = TRUE) param <- ScanBamParam(which=which, what=what, flag=flag) neg <- readGAlignments(un1, param=param) neg @ Another approach to subsetting the data is to use \Rfunction{filterBam}. This function creates a new BAM file of records passing user-defined criteria. See ?\Rfunction{filterBam} for details. \subsection{Paired-end reads} Paired-end reads can be loaded with \Rfunction{readGAlignmentPairs} or \Rfunction{readGAlignmentsList}. These functions use the same mate paring algorithm but output different objects. Let's start with \Rfunction{readGAlignmentPairs}: <>= un3 <- untreated3_chr4() gapairs <- readGAlignmentPairs(un3) @ The \Robject{GAlignmentPairs} class holds only pairs; reads with no mate or with ambiguous pairing are discarded. Each list element holds exactly 2 records (a mated pair). Records can be accessed as the \Rcode{first} and\Rcode{last} segments in a template or as \Rcode{left} and \Rcode{right} alignments. See ?\Rfunction{GAlignmentPairs} for details. <>= gapairs @ For \Rcode{readGAlignmentsList}, mate pairing is performed when \Rcode{asMates} is set to \Rcode{TRUE} on the \Rcode{BamFile} object, otherwise records are treated as single-end. <>= galist <- readGAlignmentsList(BamFile(un3, asMates=TRUE)) @ \Robject{GAlignmentsList} is a more general `list-like' structure that holds mate pairs as well as non-mates (i.e., singletons, records with unmapped mates etc.) A \Rcode{mates} metadata column (accessed with \Rfunction{mcols}) indicates which records were paired and is set on both the individual \Robject{GAlignments} and the outer list elements. <>= galist @ Non-mated reads are returned as groups by QNAME and contain any number of records. Here the non-mate groups range in size from 1 to 9. <>= non_mates <- galist[unlist(mcols(galist)$mates) == FALSE] table(elementLengths(non_mates)) @ \subsection{Iterating with \Rcode{yieldSize}} Large files can be iterated through in chunks by setting a \Rcode{yieldSize} on the \Rcode{BamFile}. <>= bf <- BamFile(un1, yieldSize=100000) @ Iteration through a BAM file requires that the file be opened, repeatedly queried inside a loop, then closed. Repeated calls to \Rfunction{readGAlignments} without opening the file first result in the same 100000 records returned each time. <>= open(bf) cvg <- NULL repeat { chunk <- readGAlignments(bf) if (length(chunk) == 0L) break chunk_cvg <- coverage(chunk) if (is.null(cvg)) { cvg <- chunk_cvg } else { cvg <- cvg + chunk_cvg } } close(bf) cvg @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{How to prepare a table of read counts for RNA-Seq differential gene expression} Methods for RNA-Seq gene expression analysis generally require a table of counts that summarize the number of reads that overlap or `hit' a particular gene. In this section we count with \Rcode{summarizeOverlaps} and create a count table from the results. Other packages that provide read counting are \Biocpkg{Rsubread} and \Biocpkg{easyRNASeq}. The \Biocpkg{parathyroidSE} package vignette contains a workflow on counting and other common operations required for differential expression analysis. \subsection{Counting with \Rfunction{summarizeOverlaps}} As sample data we use \Biocpkg{pasillaBamSubset} which contains both a single-end BAM (untreated1\_chr4) and a paired-end BAM (untreated3\_chr4). Each file is a subset of chr4 from the "Pasilla" experiment. See ?\Biocpkg{pasillaBamSubset} for details. <>= library(GenomicRanges) library(Rsamtools) library(pasillaBamSubset) un1 <- untreated1_chr4() ## single-end records @ \Rcode{summarizeOverlaps} requires the name of a BAM file(s) and an annotation to count against. The annotation must match the genome build the BAM records were aligned to. For the pasilla data this is dm3 Dmelanogaster which is available as a \Bioconductor{} package. Load the package and extract the exon ranges by gene. <>= library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) exbygene <- exonsBy(TxDb.Dmelanogaster.UCSC.dm3.ensGene, "gene") @ \Rcode{summarizeOverlaps} automatically sets a \Rcode{yieldSize} on large BAM files and iterates over them in chunks. When reading paired-end data set the \Rcode{singleEnd} argument to FALSE. See ?\Rfunction{summarizeOverlaps} for details reguarding the count \Rcode{modes} and additional arguments. <>= se <- summarizeOverlaps(exbygene, un1, mode="IntersectionNotEmpty") @ The return object is a \Rcode{SummarizedExperiment} with counts in the \Rcode{assays} slot. <>= class(se) head(table(assays(se)$counts)) @ The count vector is the same length as the annotation. <>= identical(length(exbygene), length(assays(se)$counts)) @ The annotation is stored in the \Rcode{rowData} slot. <>= rowData(se) @ \subsection{Retrieving annotations from \Biocpkg{AnnotationHub}} When the annotation is not available as a \Rcode{GRanges} or a \Bioconductor{} package it may be available in \Rcode{AnnotationHub}. Create a `hub' and filter on Drosophila melanogaster. <>= library(AnnotationHub) hub <- AnnotationHub() filters(hub) <- list(Species="Drosophila melanogaster") @ There are 87 files that match Drosophila melanogaster. <>= length(hub) head(names(hub)) @ Retrieve a dm3 file as a \Rcode{GRanges}. <>= gr <- hub$goldenpath.dm3.database.ensGene_0.0.1.RData summary(gr) @ The metadata fields contain the details of file origin and content. <>= names(metadata(gr)[[2]]) metadata(gr)[[2]]$Tags @ Split the GRanges by gene name to get a \Robject{GRangesList} of transcripts by gene. <>= split(gr, gr$name) @ Before performing overlap operations confirm that the seqlevels (chromosome names) in the annotation match those in the BAM file. See ?\Rfunction{renameSeqlevels}, ?\Rfunction{keepSeqlevels} and ?\Rfunction{seqlevels} for examples of renaming seqlevels. \subsection{Count tables} Two popular packages for gene expression are \Biocpkg{DESeq} and \Biocpkg{edgeR}. Tables of counts per gene are required for both and can be easily created with a vector of counts. Here we use the counts from the \Robject{SummarizedExperiment}. <>= library(DESeq) deseq <- newCountDataSet(assays(se)$counts, rownames(colData(se))) library(edgeR) edger <- DGEList(assays(se)$counts, group=rownames(colData(se))) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{How to extract DNA sequences of gene regions} \subsection{DNA sequences for intron and exon regions of a single gene} DNA sequences for the introns and exons of a gene are essentially the sequences for the introns and exons for all known transcripts of a gene. The first task is to identify all transcripts associated with the gene of interest. Our sample gene is the human TRAK2 which is involved in regulation of endosome-to-lysosome trafficking of membrane cargo. The Entrez gene id is `66008'. <>= trak2 <- "66008" @ Load the UCSC `Known Gene' table annotation available as a \Bioconductor{} package. <>= library(TxDb.Hsapiens.UCSC.hg19.knownGene) txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene @ To get the transcripts associated with the trak2 gene we use the \Rfunction{transcriptsBy} function from the \Biocpkg{GenomicFeatures} package. This returns a \Robject{GRangesList} of all transcripts grouped by gene. We are only interested in trak2 so we subset the list on the trak2 gene id. <>= library(GenomicFeatures) txbygene <- transcriptsBy(txdb, by="gene")[trak2] txbygene @ The transcript names corresponding to the trak2 gene will be used to subset the extracted intron and exon regions. The \Rcode{txbygene} object is a \Robject{GRangesList} and the transcript names are a metadata column on the individual \Robject{GRanges}. To extract the names we must first `flatten' or unlist \Rcode{txbygene}. <>= tx_names <- mcols(unlist(txbygene))$tx_name tx_names @ Intron and exon regions are extracted with \Rfunction{intronsByTranscript} and \Rfunction{exonsBy}. The resulting \Robject{GRangesLists} are subset on the trak2 transcript names. Extract the intron regions ... <>= intronsbytx <- intronsByTranscript(txdb, use.names=TRUE)[tx_names] elementLengths(intronsbytx) @ and the exon regions. <>= exonsbytx <- exonsBy(txdb, "tx", use.names=TRUE)[tx_names] elementLengths(exonsbytx) @ Next we want the DNA sequences for these intron and exon regions. The \Rfunction{extractTranscriptsFromGenome} function in the \Biocpkg{Biostrings} package will query a \Biocpkg{BSGenome} package with a set of genomic positions and retrieve the DNA sequences. <>= library(Biostrings) library(BSgenome.Hsapiens.UCSC.hg19) @ Extract the intron sequences ... <>= intron_seqs <- extractTranscriptsFromGenome(Hsapiens, intronsbytx) intron_seqs @ and the exon sequences. <>= exon_seqs <- extractTranscriptsFromGenome(Hsapiens, exonsbytx) exon_seqs @ \subsection{DNA sequences for coding and UTR regions of genes associated with colorectal cancer} In this section we extract the coding and UTR sequences of genes involved in colorectal cancer. The workflow extends the ideas presented in the single gene example and suggests an approach to identify disease-related genes. \subsubsection{Build a gene list} We start with a list of gene or transcript ids. If you do not have pre-defined list one can be created with the \Biocpkg{KEGG.db} and \Biocpkg{KEGGgraph} packages. Updates to the data in the \Biocpkg{KEGG.db} package are no longer available, however, the resource is still useful for identifying pathway names and ids. Create a table of KEGG pathways and ids and search on the term `cancer'. <>= library(KEGG.db) pathways <- toTable(KEGGPATHNAME2ID) pathways[grepl("cancer", pathways$path_name, fixed=TRUE),] @ Use the "05210" id to query the KEGG web resource (accesses the currently maintained data). <>= library(KEGGgraph) dest <- tempfile() retrieveKGML("05200", "hsa", dest, "internal") @ The suffix of the KEGG id is the Entrez gene id. The \Rfunction{translateKEGGID2GeneID} simply removes the prefix leaving just the Entrez gene ids. <>= crids <- as.character(parseKGML2DataFrame(dest)[,1]) crgenes <- unique(translateKEGGID2GeneID(crids)) head(crgenes) @ \subsubsection{Identify genomic coordinates} The list of gene ids is used to extract genomic positions of the regions of interest. The Known Gene table from UCSC will be the annotation and is available as a \Bioconductor{} package. <>= library(TxDb.Hsapiens.UCSC.hg19.knownGene) txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene @ If an annotation is not available as a \Bioconductor{} annotation package it may be available in \Biocpkg{AnnotationHub}. Additionally, there are functions in \Biocpkg{GenomicFeatures} which can retrieve data from UCSC and Ensembl to create a \Robject{TranscriptDb}. See ?\Rcode{makeTranscriptDbFromUCSC} for details. As in the single gene example we need to identify the transcripts corresponding to each gene. The transcript id (or name) is used to isolate the UTR and coding regions of interest. This grouping of transcript by gene is also used to re-group the final sequence results. The \Rcode{transcriptsBy} function outputs both the gene and transcript identifiers which we use to create a map between the two. The \Rcode{map} is a \Robject{CharacterList} with gene ids as names and transcript ids as the list elements. <>= txbygene <- transcriptsBy(txdb, "gene")[crgenes] ## subset on colorectal genes map <- relist(unlist(txbygene, use.names=FALSE)$tx_id, txbygene) map @ Extract the UTR and coding regions. <>= cds <- cdsBy(txdb, "tx") threeUTR <- threeUTRsByTranscript(txdb) fiveUTR <- fiveUTRsByTranscript(txdb) @ Coding and UTR regions may not be present for all transcripts specified in \Rcode{map}. Consequently, the subset results will not be the same length. This length discrepancy must be taken into account when re-listing the final results by gene. <>= txid <- unlist(map, use.names=FALSE) cds <- cds[names(cds) %in% txid] threeUTR <- threeUTR[names(threeUTR) %in% txid] fiveUTR <- fiveUTR[names(fiveUTR) %in% txid] @ Note the different lengths of the subset regions. <>= length(txid) ## all possible transcripts length(cds) length(threeUTR) length(fiveUTR) @ These objects are \Robject{GRangesList}s with the transcript id as the outer list element. <>= cds @ \subsubsection{Extract sequences from BSgenome} The \Rcode{BSgenome} packages contain complete genome sequences for a given organism. Load the \Rcode{BSgenome} package for homo sapiens. <>= library(BSgenome.Hsapiens.UCSC.hg19) genome <- BSgenome.Hsapiens.UCSC.hg19 @ Use \Rfunction{extractTranscriptsFromGenome} to extract the UTR and coding regions from the \Rcode{BSGenome}. This function retrieves the sequences for an any \Robject{GRanges} or \Robject{GRangesList} (i.e., not just transcripts like the name implies). <>= threeUTR_seqs <- extractTranscriptsFromGenome(genome, threeUTR) fiveUTR_seqs <- extractTranscriptsFromGenome(genome, fiveUTR) cds_seqs <- extractTranscriptsFromGenome(genome, cds) @ The return values are \Robject{DNAStringSet} objects. <>= cds_seqs @ Our final step is to collect the coding and UTR regions (currently organzied by transcript) into groups by gene id. The \Rfunction{split} function splits the sequences in the \Robject{DNAStringSet} by the partition object. The partition object represents the number of transcript ranges (defined as the width) in each gene id group. These widths are different for each region because not all transcripts had a coding or 3' or 5' UTR region defined. <>= lst3 <- split(threeUTR_seqs, PartitioningByWidth(sum(map %in% names(threeUTR)))) lst5 <- split(fiveUTR_seqs, PartitioningByWidth(sum(map %in% names(fiveUTR)))) lstc <- split(cds_seqs, PartitioningByWidth(sum(map %in% names(cds)))) names(lst3) <- names(lst5) <- names(lstc) <- names(map) @ There are 239 genes in \Rcode{map} each of which have 1 or more transcripts. The table of element lengths shows how many genes have each number of transcripts. For example, 47 genes have 1 transcript, 48 genes have 2 etc. <>= length(map) table(elementLengths(map)) @ The lists of DNA sequences all have the same length as \Rcode{map} but one or more of the element lengths may be zero. This would indicate that data were not available for that gene. The tables below show that there was at least 1 coding region available for all genes (i.e., none of the element lengths are 0). However, both the 3' and 5' UTR results have element lengths of 0 which indicates no UTR data were available for that gene. <>= table(elementLengths(lstc)) table(elementLengths(lst3)) names(lst3)[elementLengths(lst3) == 0L] ## genes with no 3' UTR data table(elementLengths(lst5)) names(lst5)[elementLengths(lst5) == 0L] ## genes with no 5' UTR data @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{How to create DNA consensus sequences for read group `families'} The motivation for this HOWTO comes from a study which explored the dynamics of point mutations. The mutations of interest exist with a range of frequencies in the control group (e.g., 0.1\% - 50\%). PCR and sequencing error rates make it difficult to identify low frequency events (e.g., < 20\%). When a library is prepared with Nextera, random fragments are generated followed by a few rounds of PCR. When the genome is large enough, reads aligning to the same start position are likely descendant from the same template fragment and should have identical sequences. The goal is to elimininate noise by grouping the reads by common start position and discarding those that do not exceed a certain threshold within each family. A new consensus sequence will be created for each read group family. \subsection{Sort reads into groups by start position} Load the BAM file into a GAlignments object. <>= library(Rsamtools) bamfile <- system.file("extdata", "ex1.bam", package="Rsamtools") param <- ScanBamParam(what=c("seq", "qual")) gal <- readGAlignmentsFromBam(bamfile, use.names=TRUE, param=param) @ Use the \Rfunction{sequenceLayer} function to {\it lay} the query sequences and quality strings on the reference. <>= qseq <- setNames(mcols(gal)$seq, names(gal)) qual <- setNames(mcols(gal)$qual, names(gal)) qseq_on_ref <- sequenceLayer(qseq, cigar(gal), from="query", to="reference") qual_on_ref <- sequenceLayer(qual, cigar(gal), from="query", to="reference") @ Split by chromosome. <>= qseq_on_ref_by_chrom <- splitAsList(qseq_on_ref, seqnames(gal)) qual_on_ref_by_chrom <- splitAsList(qual_on_ref, seqnames(gal)) pos_by_chrom <- splitAsList(start(gal), seqnames(gal)) @ For each chromosome generate one GRanges object that contains unique alignment start positions and attach 3 metadata columns to it: the number of reads, the query sequences, and the quality strings. <>= gr_by_chrom <- lapply(seqlevels(gal), function(seqname) { qseq_on_ref2 <- qseq_on_ref_by_chrom[[seqname]] qual_on_ref2 <- qual_on_ref_by_chrom[[seqname]] pos2 <- pos_by_chrom[[seqname]] qseq_on_ref_per_pos <- split(qseq_on_ref2, pos2) qual_on_ref_per_pos <- split(qual_on_ref2, pos2) nread <- elementLengths(qseq_on_ref_per_pos) gr_mcols <- DataFrame(nread=unname(nread), qseq_on_ref=unname(qseq_on_ref_per_pos), qual_on_ref=unname(qual_on_ref_per_pos)) gr <- GRanges(Rle(seqname, nrow(gr_mcols)), IRanges(as.integer(names(nread)), width=1)) mcols(gr) <- gr_mcols seqlevels(gr) <- seqlevels(gal) gr }) @ Combine all the GRanges objects obtained in (4) in 1 big GRanges object: <>= gr <- do.call(c, gr_by_chrom) seqinfo(gr) <- seqinfo(gal) @ `gr' is a GRanges object that contains unique alignment start positions: <>= gr[1:6] @ Look at qseq\_on\_ref and qual\_on\_ref. <>= qseq_on_ref qual_on_ref @ 2 reads align to start position 13. Let's have a close look at their sequences: <>= mcols(gr)$qseq_on_ref[[6]] @ and their qualities: <>= mcols(gr)$qual_on_ref[[6]] @ Note that the sequence and quality strings are those projected to the reference so the first letter in those strings are on top of start position 13, the 2nd letter on top of position 14, etc... \subsection{Remove low frequency reads} For each start position, remove reads with and under-represented sequence (e.g. threshold = 20\% for the data used here which is low coverage). A unique number is assigned to each unique sequence. This will make future calculations easier and a little bit faster. <>= qseq_on_ref <- mcols(gr)$qseq_on_ref tmp <- unlist(qseq_on_ref, use.names=FALSE) qseq_on_ref_id <- relist(match(tmp, tmp), qseq_on_ref) @ Quick look at `qseq\_on\_ref\_id': It's an IntegerList object with the same length and "shape" as `qseq\_on\_ref'. <>= qseq_on_ref_id @ Remove the under represented ids from each list element of `qseq\_on\_ref\_id': <>= qseq_on_ref_id2 <- endoapply(qseq_on_ref_id, function(ids) ids[countMatches(ids, ids) >= 0.2 * length(ids)]) @ Remove corresponding sequences from `qseq\_on\_ref': <>= tmp <- unlist(qseq_on_ref_id2, use.names=FALSE) qseq_on_ref2 <- relist(unlist(qseq_on_ref, use.names=FALSE)[tmp], qseq_on_ref_id2) @ \subsection{Create a consensus sequence for each read group family} Compute 1 consensus matrix per chromosome: <>= split_factor <- rep.int(seqnames(gr), elementLengths(qseq_on_ref2)) qseq_on_ref2 <- unlist(qseq_on_ref2, use.names=FALSE) qseq_on_ref2_by_chrom <- splitAsList(qseq_on_ref2, split_factor) qseq_pos_by_chrom <- splitAsList(start(gr), split_factor) cm_by_chrom <- lapply(names(qseq_pos_by_chrom), function(seqname) consensusMatrix(qseq_on_ref2_by_chrom[[seqname]], as.prob=TRUE, shift=qseq_pos_by_chrom[[seqname]]-1, width=seqlengths(gr)[[seqname]])) names(cm_by_chrom) <- names(qseq_pos_by_chrom) @ 'cm\_by\_chrom' is a list of consensus matrices. Each matrix has 17 rows (1 per letter in the DNA alphabet) and 1 column per chromosome position. <>= lapply(cm_by_chrom, dim) @ Compute the consensus string from each consensus matrix. We'll put "+" in the strings wherever there is no coverage for that position, and "N" where there is coverage but no consensus. <>= cs_by_chrom <- lapply(cm_by_chrom, function(cm) { ## need to "fix" 'cm' because consensusString() ## doesn't like consensus matrices with columns ## that contain only zeroes (e.g., chromosome ## positions with no coverage) idx <- colSums(cm) == 0L cm["+", idx] <- 1 DNAString(consensusString(cm, ambiguityMap="N")) }) @ The new consensus strings. <>= cs_by_chrom @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{How to compute binned averages along a genome} In some applications, there is the need to compute the average of a variable along a genome for a set of predefined fixed-width regions (sometimes called "bins"). One such example is coverage. Coverage is an \Robject{RleList} with one list element per chromosome. Here we simulate a coverage list. <>= library(BSgenome.Scerevisiae.UCSC.sacCer2) set.seed(22) cov <- RleList( lapply(seqlengths(Scerevisiae), function(len) Rle(sample(-10:10, len, replace=TRUE))), compress=FALSE) head(cov, 3) @ Use the \Rfunction{tileGenome} function to create a set of bins along the genome. <>= bins1 <- tileGenome(seqinfo(Scerevisiae), tilewidth=100, cut.last.tile.in.chrom=TRUE) @ We define the following function to compute the binned average of a numerical variable defined along a genome. \begin{verbatim} Arguments: 'bins': a GRanges object representing the genomic bins. Typically obtained by calling tileGenome() with 'cut.last.tile.in.chrom=TRUE'. 'numvar': a named RleList object representing a numerical variable defined along the genome covered by 'bins', which is the genome described by 'seqinfo(bins)'. 'mcolname': the name to give to the metadata column that will contain the binned average in the returned object. \end{verbatim} The function returns `bins' with an additional metadata column named `mcolname' containing the binned average. <>= binnedAverage <- function(bins, numvar, mcolname) { stopifnot(is(bins, "GRanges")) stopifnot(is(numvar, "RleList")) stopifnot(identical(seqlevels(bins), names(numvar))) bins_per_chrom <- split(ranges(bins), seqnames(bins)) means_list <- lapply(names(numvar), function(seqname) { views <- Views(numvar[[seqname]], bins_per_chrom[[seqname]]) viewMeans(views) }) new_mcol <- unsplit(means_list, as.factor(seqnames(bins))) mcols(bins)[[mcolname]] <- new_mcol bins } @ Compute the binned average for `cov': <>= bins1 <- binnedAverage(bins1, cov, "binned_cov") bins1 @ The bin size can be modified with the \Rcode{tilewidth} argument to \Rfunction{tileGenome}. For additional examples see ?\Rfunction{tileGenome}. \section{Session Information} <>= sessionInfo() @ \bibliography{GenomicRanges} \end{document} GenomicRanges/inst/doc/GenomicRangesHOWTOs.pdf0000644000126300012640000063127412233631715022640 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (1 Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (2 How to read BAM files into R) endobj 9 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 12 0 obj (2.1 Single-end reads) endobj 13 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 16 0 obj (2.2 Paired-end reads) endobj 17 0 obj << /S /GoTo /D (subsection.2.3) >> endobj 20 0 obj (2.3 Iterating with yieldSize) endobj 21 0 obj << /S /GoTo /D (section.3) >> endobj 24 0 obj (3 How to prepare a table of read counts for RNA-Seq differential gene expression) endobj 25 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 28 0 obj (3.1 Counting with summarizeOverlaps) endobj 29 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 32 0 obj (3.2 Retrieving annotations from AnnotationHub) endobj 33 0 obj << /S /GoTo /D (subsection.3.3) >> endobj 36 0 obj (3.3 Count tables) endobj 37 0 obj << /S /GoTo /D (section.4) >> endobj 40 0 obj (4 How to extract DNA sequences of gene regions) endobj 41 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 44 0 obj (4.1 DNA sequences for intron and exon regions of a single gene) endobj 45 0 obj << /S /GoTo /D (subsection.4.2) >> endobj 48 0 obj (4.2 DNA sequences for coding and UTR regions of genes associated with colorectal cancer) endobj 49 0 obj << /S /GoTo /D (subsubsection.4.2.1) >> endobj 52 0 obj (4.2.1 Build a gene list) endobj 53 0 obj << /S /GoTo /D (subsubsection.4.2.2) >> endobj 56 0 obj (4.2.2 Identify genomic coordinates) endobj 57 0 obj << /S /GoTo /D (subsubsection.4.2.3) >> endobj 60 0 obj (4.2.3 Extract sequences from BSgenome) endobj 61 0 obj << /S /GoTo /D (section.5) >> endobj 64 0 obj (5 How to create DNA consensus sequences 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biocLite("GenomicRanges") ################################################### ### code chunk number 3: initialize ################################################### library(GenomicRanges) ################################################### ### code chunk number 4: example-GRanges ################################################### gr <- GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges(1:10, end = 7:16, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10)) gr ################################################### ### code chunk number 5: GRanges-location-accessors ################################################### seqnames(gr) ranges(gr) strand(gr) ################################################### ### code chunk number 6: metadataAccess ################################################### mcols(gr) mcols(gr)$score ################################################### ### code chunk number 7: setSeqLengths ################################################### seqlengths(gr) <- c(249250621,243199373,198022430) ################################################### ### code chunk number 8: setSeqLengths2 ################################################### seqlengths(gr) ################################################### ### code chunk number 9: names ################################################### names(gr) length(gr) ################################################### ### code chunk number 10: splitAppendGRanges ################################################### sp <- split(gr, rep(1:2, each=5)) sp ################################################### ### code chunk number 11: combine ################################################### c(sp[[1]], sp[[2]]) ################################################### ### code chunk number 12: subset1 ################################################### gr[2:3] ################################################### ### code chunk number 13: subset2 ################################################### gr[2:3, "GC"] ################################################### ### code chunk number 14: assign1 ################################################### singles <- split(gr, names(gr)) grMod <- gr grMod[2] <- singles[[1]] head(grMod, n=3) ################################################### ### code chunk number 15: assign2 ################################################### grMod[2,1] <- singles[[3]][,1] head(grMod, n=3) ################################################### ### code chunk number 16: other ################################################### rep(singles[[2]], times = 3) rev(gr) head(gr,n=2) tail(gr,n=2) window(gr, start=2,end=4) gr[IRanges(start=c(2,7), end=c(3,9))] ################################################### ### code chunk number 17: IRangesStuff ################################################### g <- gr[1:3] g <- append(g, singles[[10]]) start(g) end(g) width(g) range(g) ################################################### ### code chunk number 18: flank ################################################### flank(g, 10) ################################################### ### code chunk number 19: flank2 ################################################### flank(g, 10, start=FALSE) ################################################### ### code chunk number 20: shiftAndResize ################################################### shift(g, 5) resize(g, 30) ################################################### ### code chunk number 21: reduce ################################################### reduce(g) ################################################### ### code chunk number 22: gaps ################################################### gaps(g) ################################################### ### code chunk number 23: disjoin ################################################### disjoin(g) ################################################### ### code chunk number 24: coverage ################################################### coverage(g) ################################################### ### code chunk number 25: intervals1 ################################################### g2 <- head(gr, n=2) union(g, g2) intersect(g, g2) setdiff(g, g2) ################################################### ### code chunk number 26: intervals2 ################################################### g3 <- g[1:2] ranges(g3[1]) <- IRanges(start=5, end=12) punion(g2, g3) pintersect(g2, g3) psetdiff(g2, g3) ################################################### ### code chunk number 27: manPage (eval = FALSE) ################################################### ## ?GRanges ################################################### ### code chunk number 28: example-GRangesList ################################################### gr1 <- GRanges(seqnames = "chr2", ranges = IRanges(3, 6), strand = "+", score = 5L, GC = 0.45) gr2 <- GRanges(seqnames = c("chr1", "chr1"), ranges = IRanges(c(7,13), width = 3), strand = c("+", "-"), score = 3:4, GC = c(0.3, 0.5)) grl <- GRangesList("txA" = gr1, "txB" = gr2) grl ################################################### ### code chunk number 29: basicGRLAccessors ################################################### seqnames(grl) ranges(grl) strand(grl) ################################################### ### code chunk number 30: exceptions ################################################### length(grl) names(grl) seqlengths(grl) ################################################### ### code chunk number 31: elementLengths ################################################### elementLengths(grl) ################################################### ### code chunk number 32: isEmpty ################################################### isEmpty(grl) ################################################### ### code chunk number 33: mcolsGRL ################################################### mcols(grl) <- c("Transcript A","Transcript B") mcols(grl) ################################################### ### code chunk number 34: unlistGRL ################################################### ul <- unlist(grl) ################################################### ### code chunk number 35: intOpsGRL ################################################### start(grl) end(grl) width(grl) ################################################### ### code chunk number 36: coverageGRL ################################################### shift(grl, 20) coverage(grl) ################################################### ### code chunk number 37: subsetGRL (eval = FALSE) ################################################### ## grl[1] ## grl[[1]] ## grl["txA"] ## grl$txB ################################################### ### code chunk number 38: subsetGRL2 ################################################### grl[1, "score"] grl["txB", "GC"] ################################################### ### code chunk number 39: otherSubsetGRL ################################################### rep(grl[[1]], times = 3) rev(grl) head(grl, n=1) tail(grl, n=1) window(grl, start=1, end=1) grl[IRanges(start=2, end=2)] ################################################### ### code chunk number 40: lapply ################################################### lapply(grl, length) sapply(grl, length) ################################################### ### code chunk number 41: mapply ################################################### grl2 <- shift(grl, 10) names(grl2) <- c("shiftTxA", "shiftTxB") mapply(c, grl, grl2) Map(c, grl, grl2) ################################################### ### code chunk number 42: endoapply ################################################### endoapply(grl,rev) ################################################### ### code chunk number 43: mendoapply ################################################### mendoapply(c,grl,grl2) ################################################### ### code chunk number 44: ReduceGRL ################################################### Reduce(c,grl) ################################################### ### code chunk number 45: manPage2 (eval = FALSE) ################################################### ## ?GRangesList ################################################### ### code chunk number 46: findOverlaps ################################################### mtch <- findOverlaps(gr, grl) as.matrix(mtch) ################################################### ### code chunk number 47: countOL ################################################### countOverlaps(gr, grl) ################################################### ### code chunk number 48: subsetByOverlaps ################################################### subsetByOverlaps(gr,grl) ################################################### ### code chunk number 49: select-first ################################################### findOverlaps(gr, grl, select="first") findOverlaps(grl, gr, select="first") ################################################### ### code chunk number 50: readGAlignments ################################################### library(Rsamtools) aln1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") aln1 <- readGAlignments(aln1_file) aln1 length(aln1) ################################################### ### code chunk number 51: accessors ################################################### head(seqnames(aln1)) seqlevels(aln1) head(strand(aln1)) head(cigar(aln1)) head(qwidth(aln1)) head(start(aln1)) head(end(aln1)) head(width(aln1)) head(ngap(aln1)) GenomicRanges/inst/doc/GenomicRangesIntroduction.Rnw0000644000126300012640000005054612227070337024230 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{An Introduction to GenomicRanges} %\VignetteDepends{Rsamtools} %\VignetteKeywords{sequence, sequencing, alignments} %\VignettePackage{GenomicRanges} \documentclass[10pt]{article} \usepackage{times} \usepackage{hyperref} \textwidth=6.5in \textheight=8.5in %\parskip=.3cm \oddsidemargin=-.1in \evensidemargin=-.1in \headheight=-.3in \newcommand{\Rfunction}[1]{{\texttt{#1}}} \newcommand{\Robject}[1]{{\texttt{#1}}} \newcommand{\Rpackage}[1]{{\textit{#1}}} \newcommand{\Rmethod}[1]{{\texttt{#1}}} \newcommand{\Rfunarg}[1]{{\texttt{#1}}} \newcommand{\Rclass}[1]{{\textit{#1}}} \newcommand{\Rcode}[1]{{\texttt{#1}}} \newcommand{\software}[1]{\textsf{#1}} \newcommand{\R}{\software{R}} \newcommand{\Bioconductor}{\software{Bioconductor}} \newcommand{\GenomicRanges}{\Rpackage{GenomicRanges}} \title{An Introduction to Genomic Ranges Classes} \author{Marc Carlson \and Patrick Aboyoun \and Herv\'{e} Pag\`{e}s} \date{\today} \begin{document} \maketitle <>= options(width=72) @ \tableofcontents \section{Introduction} The \Rpackage{GenomicRanges} package serves as the foundation for representing genomic locations within the \software{Bioconductor} project. In the \software{Bioconductor} package hierarchy, it builds upon the \Rpackage{IRanges} (infrastructure) package and provides support for the \Rpackage{BSgenome} (infrastructure), \Rpackage{Rsamtools} (I/O), \Rpackage{ShortRead} (I/O \& QA), \Rpackage{rtracklayer} (I/O), and \Rpackage{GenomicFeatures} (infrastructure) packages. This package lays a foundation for genomic analysis by introducing three classes (\Rclass{GRanges}, \Rclass{GRangesList}, and \Rclass{GAlignments}), which are used to represent single interval range features, multiple interval range features, and genomic alignments respectively. This vignette focuses on these classes and their associated methods. The \Rpackage{GenomicRanges} package is available at bioconductor.org and can be downloaded via \Rfunction{biocLite}: <>= source("http://bioconductor.org/biocLite.R") biocLite("GenomicRanges") @ <>= library(GenomicRanges) @ \section{\Rclass{GRanges}: Single Interval Range Features} The \Rclass{GRanges} class represents a collection of genomic features that each have a single start and end location on the genome. This includes features such as contiguous binding sites, transcripts, and exons. These objects can be created by using the \Rfunction{GRanges} constructor function. For example, <>= gr <- GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges(1:10, end = 7:16, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10)) gr @ \noindent creates a \Rclass{GRanges} object with 10 single interval features. The output of the \Rclass{GRanges} \Rmethod{show} method separates the information into a left and right hand region that are separated by \Rcode{|} symbols. The genomic coordinates (seqnames, ranges, and strand) are located on the left-hand side and the metadata columns (annotation) are located on the right. For this example, the metadata is comprised of \Rcode{score} and \Rcode{GC} information, but almost anything can be stored in the metadata portion of a \Rclass{GRanges} object. The components of the genomic coordinates within a \Rclass{GRanges} object can be extracted using the \Rmethod{seqnames}, \Rmethod{ranges}, and \Rmethod{strand} accessor functions. <>= seqnames(gr) ranges(gr) strand(gr) @ Stored annotations for these coordinates can be extracted as a \Rclass{DataFrame} object using the \Rmethod{mcols} accessor. <>= mcols(gr) mcols(gr)$score @ Finally, the total lengths of the various sequences that the ranges are aligned to can also be stored in the \Rclass{GRanges} object. So if this is data from \textit{Homo sapiens}, we can set the values as: <>= seqlengths(gr) <- c(249250621,243199373,198022430) @ And then retrieves as: <>= seqlengths(gr) @ Methods for accessing the \Rmethod{length} and \Rmethod{names} have also been defined. <>= names(gr) length(gr) @ \subsection{Splitting and combining \Rclass{GRanges} objects} \Rclass{GRanges} objects can be devided into groups using the \Rmethod{split} method. This produces a \Rclass{GRangesList} object, a class that will be discussed in detail in the next section. <>= sp <- split(gr, rep(1:2, each=5)) sp @ If you then grab the components of this list, they can also be merged by using the \Rmethod{c} and \Rmethod{append} methods. <>= c(sp[[1]], sp[[2]]) @ \subsection{Subsetting \Rclass{GRanges} objects} The expected subsetting operations are also available for \Rclass{GRanges} objects. <>= gr[2:3] @ A second argument to the \Rmethod{[} subset operator can be used to specify which metadata columns to extract from the \Rclass{GRanges} object. For example, <>= gr[2:3, "GC"] @ You can also assign into elements of the \Rclass{GRanges} object. Here is an example where the 2nd row of a \Rclass{GRanges} object is replaced with the 1st row of \Robject{gr}. <>= singles <- split(gr, names(gr)) grMod <- gr grMod[2] <- singles[[1]] head(grMod, n=3) @ Here is a second example where the metadata for score from the 3rd element is replaced with the score from the 2nd row etc. <>= grMod[2,1] <- singles[[3]][,1] head(grMod, n=3) @ There are also methods to repeat, reverse, or select specific portions of \Rclass{GRanges} objects. <>= rep(singles[[2]], times = 3) rev(gr) head(gr,n=2) tail(gr,n=2) window(gr, start=2,end=4) gr[IRanges(start=c(2,7), end=c(3,9))] @ \subsection{Basic interval operations for \Rclass{GRanges} objects} Basic interval characteristics of \Rclass{GRanges} objects can be extracted using the \Rmethod{start}, \Rmethod{end}, \Rmethod{width}, and \Rmethod{range} methods. <>= g <- gr[1:3] g <- append(g, singles[[10]]) start(g) end(g) width(g) range(g) @ The \Rclass{GRanges} class also has many methods for manipulating the intervals. For example, the \Rmethod{flank} method can be used to recover regions flanking the set of ranges represented by the \Rclass{GRanges} object. So to get a \Rclass{GRanges} object containing the ranges that include the 10 bases upstream of the ranges: <>= flank(g, 10) @ And to include the downstream bases: <>= flank(g, 10, start=FALSE) @ Similar to \Rmethod{flank}, there are also operations to \Rmethod{resize} and \Rmethod{shift} our \Rclass{GRanges} object. The \Rmethod{shift} method will move the ranges by a specific number of base pairs, and the \Rmethod{resize} method will extend the ranges by a specified width. <>= shift(g, 5) resize(g, 30) @ The \Rmethod{reduce} will align the ranges and merge overlapping ranges to produce a simplified set. <>= reduce(g) @ Sometimes you may be interested in the spaces or the qualities of the spaces between the ranges represented by your \Rclass{GRanges} object. The \Rmethod{gaps} method will help you calculate the spaces between a reduced version of your ranges: <>= gaps(g) @ And sometimes you also may want to know how many quantitatively unique fragments your ranges could possibly represent. For this task there is the \Rmethod{disjoin} method. <>= disjoin(g) @ One of the most powerful methods for looking at \Rclass{GRanges} objects is the \Rmethod{coverage} method. The \Rmethod{coverage} method quantifies the degree of overlap for all the ranges in a \Rclass{GRanges} object. <>= coverage(g) @ \subsection{Interval set operations for \Rclass{GRanges} objects} There are also operations for calculating relationships between different \Rclass{GRanges} objects. Here are a some examples for how you can calculate the \Rmethod{union}, the \Rmethod{intersect} and the asymmetric difference (using \Rmethod{setdiff}). <>= g2 <- head(gr, n=2) union(g, g2) intersect(g, g2) setdiff(g, g2) @ In addition, there is similar set of operations that act at the level of the individual ranges within each \Rclass{GRanges}. These operations all begin with a ``p", which is short for parallel. A requirement for this set of operations is that the number of elements in each \Rclass{GRanges} object has to be the same, and that both of the objects have to have the same seqnames and strand assignments throughout. <>= g3 <- g[1:2] ranges(g3[1]) <- IRanges(start=5, end=12) punion(g2, g3) pintersect(g2, g3) psetdiff(g2, g3) @ For even more information on the \Rcode{GRanges} classes be sure to consult the manual page. <>= ?GRanges @ \section{\Rclass{GRangesList}: Multiple Interval Range Features} Some important genomic features, such as spliced transcripts that are are comprised of exons, are inherently compound structures. Such a feature makes much more sense when expressed as a compound object such as a \Rclass{GRangesList}. Whenever genomic features consist of multiple ranges that are grouped by a parent feature, they can be represented as \Rclass{GRangesList} object. Consider the simple example of the two transcript \Rfunction{GRangesList} below created using the \Rfunction{GRangesList} constructor. <>= gr1 <- GRanges(seqnames = "chr2", ranges = IRanges(3, 6), strand = "+", score = 5L, GC = 0.45) gr2 <- GRanges(seqnames = c("chr1", "chr1"), ranges = IRanges(c(7,13), width = 3), strand = c("+", "-"), score = 3:4, GC = c(0.3, 0.5)) grl <- GRangesList("txA" = gr1, "txB" = gr2) grl @ The \Rmethod{show} method for a \Rclass{GRangesList} object displays it as a named list of \Rclass{GRanges} objects, where the names of this list are considered to be the names of the grouping feature. In the example above, the groups of individual exon ranges are represented as separate \Rclass{GRanges} objects which are further organized into a list structure where each element name is a transcript name. Many other combinations of grouped and labeled \Rclass{GRanges} objects are possible of course, but this example is expected to be a common arrangement. \subsection{Basic \Rclass{GRangesList} accessors} Just as with \Rclass{GRanges} object, the components of the genomic coordinates within a \Rclass{GRangesList} object can be extracted using simple accessor methods. Not surprisingly, the \Rclass{GRangesList} objects have many of the same accessors as \Rclass{GRanges} objects. The difference is that many of these methods return a list since the input is now essentially a list of \Rclass{GRanges} objects. Here are a few examples: <>= seqnames(grl) ranges(grl) strand(grl) @ The \Rmethod{length} and \Rmethod{names} methods will return the length or names of the list and the \Rmethod{seqlengths} method will return the set of sequence lengths. <>= length(grl) names(grl) seqlengths(grl) @ The \Rmethod{elementLengths} method returns a list of integers corresponding to the result of calling \Rmethod{length} on each individual \Rclass{GRanges} object contained by the \Rclass{GRangesList}. This is a faster alternative to calling \Rmethod{lapply} on the \Rclass{GRangesList}. <>= elementLengths(grl) @ You can also use \Rmethod{isEmpty} to test if a \Rclass{GRangesList} object contains anything. <>= isEmpty(grl) @ Finally, in the context of a \Rclass{GRangesList} object, the \Rmethod{mcols} method performs a similar operation to what it does on a \Rclass{GRanges} object. However, this metadata now refers to information at the list level instead of the level of the individual \Rclass{GRanges} objects. <>= mcols(grl) <- c("Transcript A","Transcript B") mcols(grl) @ \subsection{Combining \Rclass{GRangesList} objects} \Rclass{GRangesList} objects can be unlisted to combine the separate \Rclass{GRanges} objects that they contain as an expanded \Rclass{GRanges}. <>= ul <- unlist(grl) @ You can also append values together useing \Rmethod{append} or \Rmethod{c}. % <>= % grl2 <- shift(grl,10) % names(grl2) <- c("shiftTxA","shiftTxB") % append(grl, grl2) % c(grl, grl2) % @ \subsection{Basic interval operations for \Rclass{GRangesList} objects} For interval operations, many of the same methods exist for \Rclass{GRangesList} objects that exist for \Rclass{GRanges} objects. <>= start(grl) end(grl) width(grl) @ And as with \Rclass{GRanges} objects, you can also shift all the \Rclass{GRanges} objects in a \Rclass{GRangesList} object, or calculate the coverage. Both of these operations are also carried out across each \Rclass{GRanges} list member. <>= shift(grl, 20) coverage(grl) @ \subsection{Subsetting \Rclass{GRangesList} objects} As you might guess, the subsetting of a \Rclass{GRangesList} object is quite different from subsetting on a \Rclass{GRanges} object in that it acts as if you are subseting a list. If you try out the following you will notice that the standard conventions have been followed. <>= grl[1] grl[[1]] grl["txA"] grl$txB @ But in addition to this, when subsetting a \Rclass{GRangesList}, you can also pass in a second parameter (as with a \Rclass{GRanges} object) to again specify which of the metadata columns you wish to select. <>= grl[1, "score"] grl["txB", "GC"] @ The \Rmethod{head}, \Rmethod{tail}, \Rmethod{rep}, \Rmethod{rev}, and \Rmethod{window} methods all behave as you would expect them to for a list object. For example, the elements referred to by \Rmethod{window} are now list elements instead of \Rclass{GRanges} elements. <>= rep(grl[[1]], times = 3) rev(grl) head(grl, n=1) tail(grl, n=1) window(grl, start=1, end=1) grl[IRanges(start=2, end=2)] @ \subsection{Looping over \Rclass{GRangesList} objects} For \Rclass{GRangesList} objects there is also a family of \Rmethod{apply} methods. These include \Rmethod{lapply}, \Rmethod{sapply}, \Rmethod{mapply}, \Rmethod{endoapply}, \Rmethod{mendoapply}, \Rmethod{Map}, and \Rmethod{Reduce}. The different looping methods defined for \Rclass{GRangesList} objects are useful for returning different kinds of results. The standard \Rmethod{lapply} and \Rmethod{sapply} behave according to convention, with the \Rmethod{lapply} method returning a list and \Rmethod{sapply} returning a more simplified output. <>= lapply(grl, length) sapply(grl, length) @ As with \Rclass{IRanges} objects, there is also a multivariate version of \Rmethod{sapply}, called \Rmethod{mapply}, defined for \Rclass{GRangesList} objects. And, if you don't want the results simplified, you can call the \Rmethod{Map} method, which does the same things as \Rmethod{mapply} but without simplifying the output. <>= grl2 <- shift(grl, 10) names(grl2) <- c("shiftTxA", "shiftTxB") mapply(c, grl, grl2) Map(c, grl, grl2) @ Sometimes, you may not want to get back a simplified output or a list. Sometimes you will want to get back a modified version of the \Rclass{GRangesList} that you originally passed in. This is conceptually similar to the mathematical notion of an endomorphism. This is achieved using the \Rmethod{endoapply} method, which will return the results as a \Rclass{GRangesList} object. <>= endoapply(grl,rev) @ And, there is also a multivariate version of the \Rmethod{endoapply} method in the form of the \Rmethod{mendoapply} method. <>= mendoapply(c,grl,grl2) @ Finally, the \Rmethod{Reduce} method will allow the \Rclass{GRanges} objects to be collapsed across the whole of the \Rclass{GRangesList} object. % Again, this seems like a sub-optimal example to me. <>= Reduce(c,grl) @ For even more information on the \Rcode{GRangesList} classes be sure to consult the manual page. <>= ?GRangesList @ \section{Interval overlaps involving \Rclass{GRanges} and \Rclass{GRangesList} objects} Interval overlapping is the process of comparing the ranges in two objects to determine if and when they overlap. As such, it is perhaps the most common operation performed on \Rclass{GRanges} and \Rclass{GRangesList} objects. To this end, the \Rpackage{GenomicRanges} package provides a family of interval overlap functions. The most general of these functions is \Rfunction{findOverlaps}, which takes a query and a subject as inputs and returns a \Rclass{Hits} object containing the index pairings for the overlapping elements. <>= mtch <- findOverlaps(gr, grl) as.matrix(mtch) @ \noindent As suggested in the sections discussing the nature of the \Rclass{GRanges} and \Rclass{GRangesList} classes, the index in the above matrix of hits for a \Rclass{GRanges} object is a single range while for a \Rclass{GRangesList} object it is the set of ranges that define a "feature". Another function in the overlaps family is \Rfunction{countOverlaps}, which tabulates the number of overlaps for each element in the query. <>= countOverlaps(gr, grl) @ A third function in this family is \Rfunction{subsetByOverlaps}, which extracts the elements in the query that overlap at least one element in the subject. <>= subsetByOverlaps(gr,grl) @ Finally, you can use the \Rcode{select} argument to get the index of the first overlapping element in the subject for each element in the query. <>= findOverlaps(gr, grl, select="first") findOverlaps(grl, gr, select="first") @ \section{Genomic Alignments} In addition to \Rclass{GRanges} and \Rclass{GRangesList} classes, the \GenomicRanges{} package defines the \Rclass{GAlignments} class, which is a more specialized container for storing a set of genomic alignments. The class is intended to support alignments in general, not only those coming from a 'Binary Alignment Map' or 'BAM' files. Also alignments with gaps in the reference sequence (a.k.a. \emph{gapped alignments}) are supported which, for example, makes the class suited for storing junction reads from an RNA-seq experiment. More precisely, a \Rclass{GAlignments} object is a vector-like object where each element describes an \emph{alignment}, that is, how a given sequence (called \emph{query} or \emph{read}, typically short) aligns to a reference sequence (typically long). As shown later in this document, a \Rclass{GAlignments} object can be created from a 'BAM' file. In that case, each element in the resulting object will correspond to a record in the file. One important thing to note though is that not all the information present in the BAM/SAM records is stored in the object. In particular, for now, we discard the query sequences (SEQ field), the query ids (QNAME field), the query qualities (QUAL), the mapping qualities (MAPQ) and any other information that is not needed in order to support the basic set of operations described in this document. This also means that multi-reads (i.e. reads with multiple hits in the reference) don't receive any special treatment i.e. the various SAM/BAM records corresponding to a multi-read will show up in the \Rclass{GAlignments} object as if they were coming from different/unrelated queries. Also paired-end reads will be treated as single-end reads and the pairing information will be lost. This might change in the future. \subsection{Load a `BAM' file into a \Rclass{GAlignments} object} First we use the \Rfunction{readGAlignments} function to load a toy `BAM' file into a \Rclass{GAlignments} object: <>= library(Rsamtools) aln1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") aln1 <- readGAlignments(aln1_file) aln1 length(aln1) @ 3271 `BAM' records were loaded into the object. Note that \Rfunction{readGAlignments} would have discarded any `BAM' record describing an unaligned query (see description of the field in the SAM Format Specification \footnote{\url{http://samtools.sourceforge.net/SAM1.pdf}} for more information). The reader interested in tracking down these events can always use the \Rfunction{scanBam} function but this goes beyond the scope of this document. \subsection{Simple accessor methods} There is one accessor per field displayed by the \Rmethod{show} method and it has the same name as the field. All of them return a vector or factor of the same length as the object: <>= head(seqnames(aln1)) seqlevels(aln1) head(strand(aln1)) head(cigar(aln1)) head(qwidth(aln1)) head(start(aln1)) head(end(aln1)) head(width(aln1)) head(ngap(aln1)) @ \subsection{More accessor methods} \end{document} GenomicRanges/inst/doc/GenomicRangesIntroduction.pdf0000644000126300012640000072617312233631724024241 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (GRanges: Single Interval Range Features) endobj 9 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 12 0 obj (Splitting and combining GRanges objects) endobj 13 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 16 0 obj (Subsetting GRanges objects) endobj 17 0 obj << /S /GoTo /D (subsection.2.3) >> endobj 20 0 obj (Basic interval operations for GRanges objects) endobj 21 0 obj << /S /GoTo /D (subsection.2.4) >> endobj 24 0 obj (Interval 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<47FD0B126E25D4C1032EBA196C2D50A8>] >> startxref 235321 %%EOF GenomicRanges/inst/doc/OverlapEncodings.R0000644000126300012640000011020212233632021021753 0ustar00biocbuildphs_compbio### R code from vignette source 'OverlapEncodings.Rnw' ################################################### ### code chunk number 1: style ################################################### BiocStyle::latex() ################################################### ### code chunk number 2: options ################################################### options(width=100) .precomputed_results <- system.file("doc", "precomputed_results", package="GenomicRanges", mustWork=TRUE) .loadPrecomputed <- function(objname) { filename <- paste0(objname, ".rda") path <- file.path(.precomputed_results, filename) tempenv <- new.env(parent=emptyenv()) load(path, envir=tempenv) get(objname, envir=tempenv) } .checkIdenticalToPrecomputed <- function(obj, objname, ignore.metadata=FALSE) { precomputed_obj <- .loadPrecomputed(objname) if (ignore.metadata) metadata(obj) <- metadata(precomputed_obj) <- list() if (!identical(obj, precomputed_obj)) stop("'", objname, "' is not identical to precomputed version") } ################################################### ### code chunk number 3: untreated1_chr4 ################################################### library(pasillaBamSubset) untreated1_chr4() ################################################### ### code chunk number 4: readGAlignments ################################################### library(GenomicRanges) library(Rsamtools) flag0 <- scanBamFlag(isDuplicate=FALSE, isNotPassingQualityControls=FALSE) param0 <- ScanBamParam(flag=flag0) U1.GAL <- readGAlignments(untreated1_chr4(), use.names=TRUE, param=param0) head(U1.GAL) ################################################### ### code chunk number 5: U1.GAL_names_is_dup ################################################### U1.GAL_names_is_dup <- duplicated(names(U1.GAL)) table(U1.GAL_names_is_dup) ################################################### ### code chunk number 6: U1.GAL_qnames ################################################### U1.uqnames <- unique(names(U1.GAL)) U1.GAL_qnames <- factor(names(U1.GAL), levels=U1.uqnames) ################################################### ### code chunk number 7: U1.GAL_dup2unq ################################################### U1.GAL_dup2unq <- match(U1.GAL_qnames, U1.GAL_qnames) ################################################### ### code chunk number 8: gaps-in-U1.GAL ################################################### head(unique(cigar(U1.GAL))) table(ngap(U1.GAL)) ################################################### ### code chunk number 9: no-indels-in-U1.GAL ################################################### colSums(cigarOpTable(cigar(U1.GAL))) ################################################### ### code chunk number 10: readGAlignmentPairs ################################################### U3.galp <- readGAlignmentPairs(untreated3_chr4(), use.names=TRUE, param=param0) head(U3.galp) ################################################### ### code chunk number 11: first-and-last-U3.galp ################################################### head(first(U3.galp)) head(last(U3.galp)) ################################################### ### code chunk number 12: isProperPair ################################################### table(isProperPair(U3.galp)) ################################################### ### code chunk number 13: keep-only-proper-pairs ################################################### U3.GALP <- U3.galp[isProperPair(U3.galp)] ################################################### ### code chunk number 14: U3.GALP_names_is_dup ################################################### U3.GALP_names_is_dup <- duplicated(names(U3.GALP)) table(U3.GALP_names_is_dup) ################################################### ### code chunk number 15: U3.GALP_qnames ################################################### U3.uqnames <- unique(names(U3.GALP)) U3.GALP_qnames <- factor(names(U3.GALP), levels=U3.uqnames) ################################################### ### code chunk number 16: U3.GALP_dup2unq ################################################### U3.GALP_dup2unq <- match(U3.GALP_qnames, U3.GALP_qnames) ################################################### ### code chunk number 17: gaps-in-U3.GALP ################################################### head(unique(cigar(first(U3.GALP)))) head(unique(cigar(last(U3.GALP)))) table(ngap(first(U3.GALP)), ngap(last(U3.GALP))) ################################################### ### code chunk number 18: no-indels-in-U3.GALP ################################################### colSums(cigarOpTable(cigar(first(U3.GALP)))) colSums(cigarOpTable(cigar(last(U3.GALP)))) ################################################### ### code chunk number 19: U1.GAL_qseq ################################################### param1 <- ScanBamParam(flag=flag0, what="seq", tag="NM") U1.GAL <- readGAlignments(untreated1_chr4(), use.names=TRUE, param=param1) U1.GAL_qseq <- mcols(U1.GAL)$seq names(U1.GAL_qseq) <- names(U1.GAL) head(U1.GAL_qseq) ################################################### ### code chunk number 20: U1-original-query-sequences ################################################### U1.GAL_oqseq <- U1.GAL_qseq U1.GAL_is_on_minus <- as.logical(strand(U1.GAL) == "-") U1.GAL_oqseq[U1.GAL_is_on_minus] <- reverseComplement(U1.GAL_oqseq[U1.GAL_is_on_minus]) head(U1.GAL_oqseq) ################################################### ### code chunk number 21: same-name-implies-same-seq-in-U1-oqseq ################################################### stopifnot(all(U1.GAL_oqseq == U1.GAL_oqseq[U1.GAL_dup2unq])) ################################################### ### code chunk number 22: U1.oqseq ################################################### U1.oqseq <- U1.GAL_oqseq[!U1.GAL_names_is_dup] ################################################### ### code chunk number 23: Dmelanogaster ################################################### library(BSgenome.Dmelanogaster.UCSC.dm3) Dmelanogaster ################################################### ### code chunk number 24: U1.grl ################################################### U1.grl <- grglist(U1.GAL, order.as.in.query=TRUE) ################################################### ### code chunk number 25: U1-reference-query-sequences ################################################### library(GenomicFeatures) U1.GAL_rqseq <- extractTranscriptsFromGenome(Dmelanogaster, U1.grl) head(U1.GAL_rqseq) ################################################### ### code chunk number 26: U1-oqseq-vs-U1-rqseq ################################################### U1.GAL_nedit500 <- sapply(1:500, function(i) neditAt(U1.GAL_oqseq[[i]], U1.GAL_rqseq[[i]])) table(U1.GAL_nedit500) ################################################### ### code chunk number 27: U1.GAL-nedit-vs-NM ################################################### U1.GAL_NM <- mcols(U1.GAL)$NM stopifnot(all(U1.GAL_NM[1:500] == U1.GAL_nedit500)) ################################################### ### code chunk number 28: up-to-6-mismatches ################################################### table(U1.GAL_NM) ################################################### ### code chunk number 29: reload-U3.GALP ################################################### flag2 <- scanBamFlag(isDuplicate=FALSE, isNotPassingQualityControls=FALSE, isProperPair=TRUE) param2 <- ScanBamParam(flag=flag2, what="seq", tag="NM") U3.GALP <- readGAlignmentPairs(untreated3_chr4(), use.names=TRUE, param=param2) ################################################### ### code chunk number 30: U3.GALP-qseq1-and-qseq2 ################################################### U3.GALP_qseq1 <- mcols(first(U3.GALP))$seq U3.GALP_qseq2 <- mcols(last(U3.GALP))$seq names(U3.GALP_qseq1) <- names(U3.GALP_qseq2) <- names(U3.GALP) head(U3.GALP_qseq1) head(U3.GALP_qseq2) ################################################### ### code chunk number 31: U3-original-query-sequences ################################################### U3.GALP_oqseq1 <- U3.GALP_qseq1 U3.GALP_first_is_on_minus <- as.logical(strand(first(U3.GALP)) == "-") U3.GALP_oqseq1[U3.GALP_first_is_on_minus] <- reverseComplement(U3.GALP_oqseq1[U3.GALP_first_is_on_minus]) U3.GALP_oqseq2 <- U3.GALP_qseq2 U3.GALP_last_is_on_minus <- as.logical(strand(last(U3.GALP)) == "-") U3.GALP_oqseq2[U3.GALP_last_is_on_minus] <- reverseComplement(U3.GALP_oqseq2[U3.GALP_last_is_on_minus]) ################################################### ### code chunk number 32: same-name-implies-same-seq-pair-in-U3-oqseq ################################################### stopifnot(all(U3.GALP_oqseq1 == U3.GALP_oqseq1[U3.GALP_dup2unq])) stopifnot(all(U3.GALP_oqseq2 == U3.GALP_oqseq2[U3.GALP_dup2unq])) ################################################### ### code chunk number 33: U3.oqseq ################################################### U3.oqseq1 <- U3.GALP_oqseq1[!U3.GALP_names_is_dup] U3.oqseq2 <- U3.GALP_oqseq2[!U3.GALP_names_is_dup] ################################################### ### code chunk number 34: U3.grl_first-and-U3.grl_last ################################################### U3.grl_first <- grglist(first(U3.GALP), order.as.in.query=TRUE) U3.grl_last <- grglist(last(U3.GALP, invert.strand=TRUE), order.as.in.query=TRUE) ################################################### ### code chunk number 35: U3-reference-query-sequences ################################################### U3.GALP_rqseq1 <- extractTranscriptsFromGenome(Dmelanogaster, U3.grl_first) U3.GALP_rqseq2 <- extractTranscriptsFromGenome(Dmelanogaster, U3.grl_last) ################################################### ### code chunk number 36: U3-oqseq-vs-U3-rqseq ################################################### U3.GALP_first_nedit500 <- sapply(1:500, function(i) neditAt(U3.GALP_oqseq1[[i]], U3.GALP_rqseq1[[i]]) ) table(U3.GALP_first_nedit500) U3.GALP_last_nedit500 <- sapply(1:500, function(i) neditAt(reverseComplement(U3.GALP_oqseq2[[i]]), U3.GALP_rqseq2[[i]]) ) table(U3.GALP_last_nedit500) ################################################### ### code chunk number 37: U3.GALP-nedit-vs-NM ################################################### U3.GALP_first_NM <- mcols(first(U3.GALP))$NM stopifnot(all(U3.GALP_first_NM[1:500] == U3.GALP_first_nedit500)) U3.GALP_last_NM <- mcols(last(U3.GALP))$NM stopifnot(all(U3.GALP_last_NM[1:500] == U3.GALP_last_nedit500)) ################################################### ### code chunk number 38: up-to-2-mismatches-per-end ################################################### table(U3.GALP_first_NM, U3.GALP_last_NM) ################################################### ### code chunk number 39: txdb ################################################### library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) TxDb.Dmelanogaster.UCSC.dm3.ensGene txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene ################################################### ### code chunk number 40: exbytx ################################################### exbytx <- exonsBy(txdb, by="tx", use.names=TRUE) length(exbytx) # nb of transcripts ################################################### ### code chunk number 41: CHECK_exbytx ################################################### .checkIdenticalToPrecomputed(exbytx, "exbytx", ignore.metadata=TRUE) ################################################### ### code chunk number 42: check-for-trans-splicing-in-exbytx ################################################### table(elementLengths(runLength(seqnames(exbytx)))) table(elementLengths(runLength(strand(exbytx)))) ################################################### ### code chunk number 43: exbytx_strand ################################################### exbytx_strand <- unlist(runValue(strand(exbytx)), use.names=FALSE) ################################################### ### code chunk number 44: exbytx2gene ################################################### tx <- transcripts(txdb, columns=c("tx_name", "gene_id")) head(tx) df <- mcols(tx) exbytx2gene <- as.character(df$gene_id) exbytx2gene <- factor(exbytx2gene, levels=unique(exbytx2gene)) names(exbytx2gene) <- df$tx_name exbytx2gene <- exbytx2gene[names(exbytx)] head(exbytx2gene) nlevels(exbytx2gene) # nb of genes ################################################### ### code chunk number 45: U1.OV00 ################################################### U1.OV00 <- findOverlaps(U1.GAL, exbytx, ignore.strand=TRUE) ################################################### ### code chunk number 46: length-of-U1.OV00 ################################################### length(U1.OV00) ################################################### ### code chunk number 47: nhitPerQuery-and-nhitPerSubject ################################################### nhitPerQuery <- function(x) tabulate(queryHits(x), nbins=queryLength(x)) nhitPerSubject <- function(x) tabulate(subjectHits(x), nbins=subjectLength(x)) ################################################### ### code chunk number 48: U1.GAL_ntx ################################################### U1.GAL_ntx <- nhitPerQuery(U1.OV00) mcols(U1.GAL)$ntx <- U1.GAL_ntx head(U1.GAL) table(U1.GAL_ntx) mean(U1.GAL_ntx >= 1) ################################################### ### code chunk number 49: U1.GAL_ntx_again (eval = FALSE) ################################################### ## U1.GAL_ntx_again <- countOverlaps(U1.GAL, exbytx, ignore.strand=TRUE) ## stopifnot(identical(unname(U1.GAL_ntx_again), U1.GAL_ntx)) ################################################### ### code chunk number 50: U1.uqnames_ntx ################################################### U1.OV10 <- remapHits(U1.OV00, query.map=U1.GAL_qnames) U1.uqnames_ntx <- nhitPerQuery(U1.OV10) names(U1.uqnames_ntx) <- U1.uqnames table(U1.uqnames_ntx) mean(U1.uqnames_ntx >= 1) ################################################### ### code chunk number 51: U1.exbytx_nOV10 ################################################### U1.exbytx_nOV10 <- nhitPerSubject(U1.OV10) names(U1.exbytx_nOV10) <- names(exbytx) mean(U1.exbytx_nOV10 >= 50) ################################################### ### code chunk number 52: top-10-transcripts-based-on-U1.exbytx_nOV10 ################################################### head(sort(U1.exbytx_nOV10, decreasing=TRUE), n=10) ################################################### ### code chunk number 53: U3.OV00 ################################################### U3.OV00 <- findOverlaps(U3.GALP, exbytx, ignore.strand=TRUE) ################################################### ### code chunk number 54: length-of-U3.OV00 ################################################### length(U3.OV00) ################################################### ### code chunk number 55: U3.GALP_ntx ################################################### U3.GALP_ntx <- nhitPerQuery(U3.OV00) mcols(U3.GALP)$ntx <- U3.GALP_ntx head(U3.GALP) table(U3.GALP_ntx) mean(U3.GALP_ntx >= 1) ################################################### ### code chunk number 56: U3.GALP_ntx_again (eval = FALSE) ################################################### ## U3.GALP_ntx_again <- countOverlaps(U3.GALP, exbytx, ignore.strand=TRUE) ## stopifnot(identical(unname(U3.GALP_ntx_again), U3.GALP_ntx)) ################################################### ### code chunk number 57: U3.uqnames_ntx ################################################### U3.OV10 <- remapHits(U3.OV00, query.map=U3.GALP_qnames) U3.uqnames_ntx <- nhitPerQuery(U3.OV10) names(U3.uqnames_ntx) <- U3.uqnames table(U3.uqnames_ntx) mean(U3.uqnames_ntx >= 1) ################################################### ### code chunk number 58: U3.exbytx_nOV10 ################################################### U3.exbytx_nOV10 <- nhitPerSubject(U3.OV10) names(U3.exbytx_nOV10) <- names(exbytx) mean(U3.exbytx_nOV10 >= 50) ################################################### ### code chunk number 59: top-10-transcripts-based-on-U3.exbytx_nOV10 ################################################### head(sort(U3.exbytx_nOV10, decreasing=TRUE), n=10) ################################################### ### code chunk number 60: U1.grlf ################################################### U1.grlf <- flipQuery(U1.grl) # flipped ################################################### ### code chunk number 61: U1.ovencAB ################################################### U1.ovencA <- encodeOverlaps(U1.grl, exbytx, hits=U1.OV00) U1.ovencB <- encodeOverlaps(U1.grlf, exbytx, hits=U1.OV00) ################################################### ### code chunk number 62: U1.ovenc ################################################### U1.grl_strand <- unlist(runValue(strand(U1.grl)), use.names=FALSE) U1.ovenc <- selectEncodingWithCompatibleStrand(U1.ovencA, U1.ovencB, U1.grl_strand, exbytx_strand, hits=U1.OV00) U1.ovenc ################################################### ### code chunk number 63: U1.ovenc_again ################################################### U1.ovenc_again <- encodeOverlaps(U1.grl, exbytx, hits=U1.OV00, flip.query.if.wrong.strand=TRUE) stopifnot(identical(U1.ovenc_again, U1.ovenc)) ################################################### ### code chunk number 64: U1.ovenc_table ################################################### U1.unique_encodings <- levels(U1.ovenc) length(U1.unique_encodings) head(U1.unique_encodings) U1.ovenc_table <- table(encoding(U1.ovenc)) tail(sort(U1.ovenc_table)) ################################################### ### code chunk number 65: U3.ovenc ################################################### U3.grl <- grglist(U3.GALP, order.as.in.query=TRUE) U3.ovenc <- encodeOverlaps(U3.grl, exbytx, hits=U3.OV00, flip.query.if.wrong.strand=TRUE) U3.ovenc ################################################### ### code chunk number 66: U3.ovenc_table ################################################### U3.unique_encodings <- levels(U3.ovenc) length(U3.unique_encodings) head(U3.unique_encodings) U3.ovenc_table <- table(encoding(U3.ovenc)) tail(sort(U3.ovenc_table)) ################################################### ### code chunk number 67: U1-unique-compatible-encodings ################################################### sort(U1.ovenc_table[isCompatibleWithSplicing(U1.unique_encodings)]) ################################################### ### code chunk number 68: U1.OV00_is_comp ################################################### U1.OV00_is_comp <- isCompatibleWithSplicing(U1.ovenc) table(U1.OV00_is_comp) # 531797 "compatible" overlaps ################################################### ### code chunk number 69: U1.compOV00 ################################################### U1.compOV00 <- U1.OV00[U1.OV00_is_comp] ################################################### ### code chunk number 70: U1.compOV00_again (eval = FALSE) ################################################### ## U1.compOV00_again <- findCompatibleOverlaps(U1.GAL, exbytx) ## stopifnot(identical(U1.compOV00_again, U1.compOV00)) ################################################### ### code chunk number 71: U1.GAL_ncomptx ################################################### U1.GAL_ncomptx <- nhitPerQuery(U1.compOV00) mcols(U1.GAL)$ncomptx <- U1.GAL_ncomptx head(U1.GAL) table(U1.GAL_ncomptx) mean(U1.GAL_ncomptx >= 1) ################################################### ### code chunk number 72: U1.GAL_ncomptx_again (eval = FALSE) ################################################### ## U1.GAL_ncomptx_again <- countCompatibleOverlaps(U1.GAL, exbytx) ## stopifnot(identical(U1.GAL_ncomptx_again, U1.GAL_ncomptx)) ################################################### ### code chunk number 73: U1.uqnames_ncomptx ################################################### U1.compOV10 <- remapHits(U1.compOV00, query.map=U1.GAL_qnames) U1.uqnames_ncomptx <- nhitPerQuery(U1.compOV10) names(U1.uqnames_ncomptx) <- U1.uqnames table(U1.uqnames_ncomptx) mean(U1.uqnames_ncomptx >= 1) ################################################### ### code chunk number 74: U1.exbytx_ncompOV10 ################################################### U1.exbytx_ncompOV10 <- nhitPerSubject(U1.compOV10) names(U1.exbytx_ncompOV10) <- names(exbytx) mean(U1.exbytx_ncompOV10 >= 50) ################################################### ### code chunk number 75: top-10-transcripts-based-on-U1.exbytx_ncompOV10 ################################################### head(sort(U1.exbytx_ncompOV10, decreasing=TRUE), n=10) ################################################### ### code chunk number 76: U3-unique-compatible-encodings ################################################### sort(U3.ovenc_table[isCompatibleWithSplicing(U3.unique_encodings)]) ################################################### ### code chunk number 77: U3.OV00_is_comp ################################################### U3.OV00_is_comp <- isCompatibleWithSplicing(U3.ovenc) table(U3.OV00_is_comp) # 106835 "compatible" paired-end overlaps ################################################### ### code chunk number 78: U3.compOV00 ################################################### U3.compOV00 <- U3.OV00[U3.OV00_is_comp] ################################################### ### code chunk number 79: U3.compOV00_again (eval = FALSE) ################################################### ## U3.compOV00_again <- findCompatibleOverlaps(U3.GALP, exbytx) ## stopifnot(identical(U3.compOV00_again, U3.compOV00)) ################################################### ### code chunk number 80: U3.GALP_ncomptx ################################################### U3.GALP_ncomptx <- nhitPerQuery(U3.compOV00) mcols(U3.GALP)$ncomptx <- U3.GALP_ncomptx head(U3.GALP) table(U3.GALP_ncomptx) mean(U3.GALP_ncomptx >= 1) ################################################### ### code chunk number 81: U3.GALP_ncomptx_again (eval = FALSE) ################################################### ## U3.GALP_ncomptx_again <- countCompatibleOverlaps(U3.GALP, exbytx) ## stopifnot(identical(U3.GALP_ncomptx_again, U3.GALP_ncomptx)) ################################################### ### code chunk number 82: U3.uqnames_ncomptx ################################################### U3.compOV10 <- remapHits(U3.compOV00, query.map=U3.GALP_qnames) U3.uqnames_ncomptx <- nhitPerQuery(U3.compOV10) names(U3.uqnames_ncomptx) <- U3.uqnames table(U3.uqnames_ncomptx) mean(U3.uqnames_ncomptx >= 1) ################################################### ### code chunk number 83: U3.exbytx_ncompOV10 ################################################### U3.exbytx_ncompOV10 <- nhitPerSubject(U3.compOV10) names(U3.exbytx_ncompOV10) <- names(exbytx) mean(U3.exbytx_ncompOV10 >= 50) ################################################### ### code chunk number 84: top-10-transcripts-based-on-U3.exbytx_ncompOV10 ################################################### head(sort(U3.exbytx_ncompOV10, decreasing=TRUE), n=10) ################################################### ### code chunk number 85: U1.OV00_qstart ################################################### U1.OV00_qstart <- extractQueryStartInTranscript(U1.grl, exbytx, hits=U1.OV00, ovenc=U1.ovenc) head(subset(U1.OV00_qstart, U1.OV00_is_comp)) ################################################### ### code chunk number 86: txseq ################################################### txseq <- extractTranscriptsFromGenome(Dmelanogaster, exbytx) ################################################### ### code chunk number 87: U1.OV00_rqseq-vs-U1.OV00_txseq ################################################### U1.OV00_rqseq <- U1.GAL_rqseq[queryHits(U1.OV00)] U1.OV00_rqseq[flippedQuery(U1.ovenc)] <- reverseComplement(U1.OV00_rqseq[flippedQuery(U1.ovenc)]) U1.OV00_txseq <- txseq[subjectHits(U1.OV00)] stopifnot(all( U1.OV00_rqseq[U1.OV00_is_comp] == narrow(U1.OV00_txseq[U1.OV00_is_comp], start=U1.OV00_qstart$startInTranscript[U1.OV00_is_comp], width=width(U1.OV00_rqseq)[U1.OV00_is_comp]) )) ################################################### ### code chunk number 88: U3.OV00_Lqstart ################################################### U3.OV00_Lqstart <- extractQueryStartInTranscript(U3.grl, exbytx, hits=U3.OV00, ovenc=U3.ovenc) head(subset(U3.OV00_Lqstart, U3.OV00_is_comp)) ################################################### ### code chunk number 89: U3.OV00_Rqstart ################################################### U3.OV00_Rqstart <- extractQueryStartInTranscript(U3.grl, exbytx, hits=U3.OV00, ovenc=U3.ovenc, for.query.right.end=TRUE) head(subset(U3.OV00_Rqstart, U3.OV00_is_comp)) ################################################### ### code chunk number 90: U3.OV00_Lrqseq_and_Rrqseq ################################################### U3.OV00_Lrqseq <- U3.GALP_rqseq1[queryHits(U3.OV00)] U3.OV00_Rrqseq <- U3.GALP_rqseq2[queryHits(U3.OV00)] ################################################### ### code chunk number 91: U3.OV00_Lrqseq_and_Rrqseq ################################################### flip_idx <- which(flippedQuery(U3.ovenc)) tmp <- U3.OV00_Lrqseq[flip_idx] U3.OV00_Lrqseq[flip_idx] <- reverseComplement(U3.OV00_Rrqseq[flip_idx]) U3.OV00_Rrqseq[flip_idx] <- reverseComplement(tmp) ################################################### ### code chunk number 92: U3.OV00_txseq ################################################### U3.OV00_txseq <- txseq[subjectHits(U3.OV00)] ################################################### ### code chunk number 93: U3.OV00_Lrqseq-vs-U3.OV00_txseq ################################################### stopifnot(all( U3.OV00_Lrqseq[U3.OV00_is_comp] == narrow(U3.OV00_txseq[U3.OV00_is_comp], start=U3.OV00_Lqstart$startInTranscript[U3.OV00_is_comp], width=width(U3.OV00_Lrqseq)[U3.OV00_is_comp]) )) ################################################### ### code chunk number 94: U3.OV00_Rrqseq-vs-U3.OV00_txseq ################################################### stopifnot(all( U3.OV00_Rrqseq[U3.OV00_is_comp] == narrow(U3.OV00_txseq[U3.OV00_is_comp], start=U3.OV00_Rqstart$startInTranscript[U3.OV00_is_comp], width=width(U3.OV00_Rrqseq)[U3.OV00_is_comp]) )) ################################################### ### code chunk number 95: findSequenceHits ################################################### ### A wrapper to vwhichPDict() that supports IUPAC ambiguity codes in 'qseq' ### and 'txseq', and treats them as such. findSequenceHits <- function(qseq, txseq, which.txseq=NULL, max.mismatch=0) { .asHits <- function(x, pattern_length) { query_hits <- unlist(x) if (is.null(query_hits)) query_hits <- integer(0) subject_hits <- rep.int(seq_len(length(x)), elementLengths(x)) new("Hits", queryHits=query_hits, subjectHits=subject_hits, queryLength=pattern_length, subjectLength=length(x)) } .isHitInTranscriptBounds <- function(hits, qseq, txseq) { sapply(seq_len(length(hits)), function(i) { pattern <- qseq[[queryHits(hits)[i]]] subject <- txseq[[subjectHits(hits)[i]]] v <- matchPattern(pattern, subject, max.mismatch=max.mismatch, fixed=FALSE) any(1L <= start(v) & end(v) <= length(subject)) }) } if (!is.null(which.txseq)) { txseq0 <- txseq txseq <- txseq[which.txseq] } names(qseq) <- NULL other <- alphabetFrequency(qseq, baseOnly=TRUE)[ , "other"] is_clean <- other == 0L # "clean" means "no IUPAC ambiguity code" ## Find hits for "clean" original queries. qseq0 <- qseq[is_clean] pdict0 <- PDict(qseq0, max.mismatch=max.mismatch) m0 <- vwhichPDict(pdict0, txseq, max.mismatch=max.mismatch, fixed="pattern") hits0 <- .asHits(m0, length(qseq0)) hits0@queryLength <- length(qseq) hits0@queryHits <- which(is_clean)[hits0@queryHits] ## Find hits for non "clean" original queries. qseq1 <- qseq[!is_clean] m1 <- vwhichPDict(qseq1, txseq, max.mismatch=max.mismatch, fixed=FALSE) hits1 <- .asHits(m1, length(qseq1)) hits1@queryLength <- length(qseq) hits1@queryHits <- which(!is_clean)[hits1@queryHits] ## Combine the hits. query_hits <- c(queryHits(hits0), queryHits(hits1)) subject_hits <- c(subjectHits(hits0), subjectHits(hits1)) if (!is.null(which.txseq)) { ## Remap the hits. txseq <- txseq0 subject_hits <- which.txseq[subject_hits] hits0@subjectLength <- length(txseq) } ## Order the hits. oo <- IRanges:::orderIntegerPairs(query_hits, subject_hits) hits0@queryHits <- query_hits[oo] hits0@subjectHits <- subject_hits[oo] if (max.mismatch != 0L) { ## Keep only "in bounds" hits. is_in_bounds <- .isHitInTranscriptBounds(hits0, qseq, txseq) hits0 <- hits0[is_in_bounds] } hits0 } ################################################### ### code chunk number 96: which.txseq (eval = FALSE) ################################################### ## chr4tx <- transcripts(txdb, vals=list(tx_chrom="chr4")) ## chr4txnames <- mcols(chr4tx)$tx_name ## which.txseq <- match(chr4txnames, names(txseq)) ################################################### ### code chunk number 97: U1.sbcompHITS (eval = FALSE) ################################################### ## U1.sbcompHITSa <- findSequenceHits(U1.oqseq, txseq, ## which.txseq=which.txseq, max.mismatch=6) ## U1.sbcompHITSb <- findSequenceHits(reverseComplement(U1.oqseq), txseq, ## which.txseq=which.txseq, max.mismatch=6) ## U1.sbcompHITS <- union(U1.sbcompHITSa, U1.sbcompHITSb) ################################################### ### code chunk number 98: LOAD_U1.sbcompHITS ################################################### U1.sbcompHITSa <- .loadPrecomputed("U1.sbcompHITSa") U1.sbcompHITSb <- .loadPrecomputed("U1.sbcompHITSb") U1.sbcompHITS <- union(U1.sbcompHITSa, U1.sbcompHITSb) ################################################### ### code chunk number 99: U1.uqnames_nsbcomptx ################################################### U1.uqnames_nsbcomptx <- nhitPerQuery(U1.sbcompHITS) names(U1.uqnames_nsbcomptx) <- U1.uqnames table(U1.uqnames_nsbcomptx) mean(U1.uqnames_nsbcomptx >= 1) ################################################### ### code chunk number 100: U1.exbytx_nsbcompHITS ################################################### U1.exbytx_nsbcompHITS <- nhitPerSubject(U1.sbcompHITS) names(U1.exbytx_nsbcompHITS) <- names(exbytx) mean(U1.exbytx_nsbcompHITS >= 50) ################################################### ### code chunk number 101: top-10-transcripts-based-on-U1.exbytx_nsbcompHITS ################################################### head(sort(U1.exbytx_nsbcompHITS, decreasing=TRUE), n=10) ################################################### ### code chunk number 102: encoding-based-compatible-implies-string-based-compatible ################################################### stopifnot(length(setdiff(U1.compOV10, U1.sbcompHITS)) == 0) ################################################### ### code chunk number 103: string-based-compatible-does-NOT-imply-encoding-based-compatible ################################################### length(setdiff(U1.sbcompHITS, U1.compOV10)) ################################################### ### code chunk number 104: U1-unique-almost-compatible-encodings ################################################### sort(U1.ovenc_table[isCompatibleWithSkippedExons(U1.unique_encodings)]) ################################################### ### code chunk number 105: U1.OV00_is_acomp ################################################### U1.OV00_is_acomp <- isCompatibleWithSkippedExons(U1.ovenc) table(U1.OV00_is_acomp) # 1202 "almost compatible" overlaps ################################################### ### code chunk number 106: U1.acompOV00 ################################################### U1.acompOV00 <- U1.OV00[U1.OV00_is_acomp] ################################################### ### code chunk number 107: U1.GAL_nacomptx ################################################### U1.GAL_nacomptx <- nhitPerQuery(U1.acompOV00) mcols(U1.GAL)$nacomptx <- U1.GAL_nacomptx head(U1.GAL) table(U1.GAL_nacomptx) mean(U1.GAL_nacomptx >= 1) ################################################### ### code chunk number 108: U1.exbytx_nacompOV00 ################################################### U1.exbytx_nacompOV00 <- nhitPerSubject(U1.acompOV00) names(U1.exbytx_nacompOV00) <- names(exbytx) table(U1.exbytx_nacompOV00) mean(U1.exbytx_nacompOV00 >= 50) ################################################### ### code chunk number 109: U1.OV00_qstart ################################################### head(subset(U1.OV00_qstart, U1.OV00_is_acomp)) ################################################### ### code chunk number 110: U3-unique-almost-compatible-encodings ################################################### sort(U3.ovenc_table[isCompatibleWithSkippedExons(U3.unique_encodings)]) ################################################### ### code chunk number 111: U3.OV00_is_acomp ################################################### U3.OV00_is_acomp <- isCompatibleWithSkippedExons(U3.ovenc) table(U3.OV00_is_acomp) # 141 "almost compatible" paired-end overlaps ################################################### ### code chunk number 112: U3.acompOV00 ################################################### U3.acompOV00 <- U3.OV00[U3.OV00_is_acomp] ################################################### ### code chunk number 113: U3.GALP_nacomptx ################################################### U3.GALP_nacomptx <- nhitPerQuery(U3.acompOV00) mcols(U3.GALP)$nacomptx <- U3.GALP_nacomptx head(U3.GALP) table(U3.GALP_nacomptx) mean(U3.GALP_nacomptx >= 1) ################################################### ### code chunk number 114: U3.exbytx_nacompOV00 ################################################### U3.exbytx_nacompOV00 <- nhitPerSubject(U3.acompOV00) names(U3.exbytx_nacompOV00) <- names(exbytx) table(U3.exbytx_nacompOV00) mean(U3.exbytx_nacompOV00 >= 50) ################################################### ### code chunk number 115: U3.OV00_Lqstart-and-U3.OV00_Rqstart ################################################### head(subset(U3.OV00_Lqstart, U3.OV00_is_acomp)) head(subset(U3.OV00_Rqstart, U3.OV00_is_acomp)) ################################################### ### code chunk number 116: U1.GAL_is_nsj ################################################### U1.GAL_is_nsj <- U1.GAL_nacomptx != 0L & U1.GAL_ncomptx == 0L head(which(U1.GAL_is_nsj)) ################################################### ### code chunk number 117: U1.OV00_is_nsj ################################################### U1.OV00_is_nsj <- queryHits(U1.OV00) %in% which(U1.GAL_is_nsj) ################################################### ### code chunk number 118: narrow-U1.OV00_is_nsj ################################################### U1.OV00_is_nsj <- U1.OV00_is_nsj & U1.OV00_is_acomp U1.nsjOV00 <- U1.OV00[U1.OV00_is_nsj] ################################################### ### code chunk number 119: U1.nsjOV00_skippedex ################################################### U1.nsjOV00_skippedex <- extractSkippedExonRanks(U1.ovenc)[U1.OV00_is_nsj] names(U1.nsjOV00_skippedex) <- queryHits(U1.nsjOV00) table(elementLengths(U1.nsjOV00_skippedex)) ################################################### ### code chunk number 120: U1.exbytx_skippedex ################################################### f <- factor(names(exbytx)[subjectHits(U1.nsjOV00)], levels=names(exbytx)) U1.exbytx_skippedex <- split(U1.nsjOV00_skippedex, f) ################################################### ### code chunk number 121: names-of-U1.exbytx_skippedex ################################################### head(names(U1.exbytx_skippedex)) # transcript names ################################################### ### code chunk number 122: FBtr0089124-skipped-exons ################################################### U1.exbytx_skippedex$FBtr0089124 ################################################### ### code chunk number 123: FBtr0089147-skipped-exons ################################################### U1.exbytx_skippedex$FBtr0089147 ################################################### ### code chunk number 124: sessionInfo ################################################### sessionInfo() GenomicRanges/inst/doc/OverlapEncodings.Rnw0000644000126300012640000020210312227070337022333 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{Overlap encodings} %\VignetteDepends{pasillaBamSubset, GenomicRanges, Rsamtools, GenomicFeatures, BSgenome.Dmelanogaster.UCSC.dm3, TxDb.Dmelanogaster.UCSC.dm3.ensGene} %\VignetteKeywords{sequence, sequencing, alignments} %\VignettePackage{GenomicRanges} \documentclass{article} <>= BiocStyle::latex() @ \title{Overlap encodings} \author{Herv\'e Pag\`es} \date{Last modified: September 2013; Compiled: \today} \begin{document} \maketitle <>= options(width=100) .precomputed_results <- system.file("doc", "precomputed_results", package="GenomicRanges", mustWork=TRUE) .loadPrecomputed <- function(objname) { filename <- paste0(objname, ".rda") path <- file.path(.precomputed_results, filename) tempenv <- new.env(parent=emptyenv()) load(path, envir=tempenv) get(objname, envir=tempenv) } .checkIdenticalToPrecomputed <- function(obj, objname, ignore.metadata=FALSE) { precomputed_obj <- .loadPrecomputed(objname) if (ignore.metadata) metadata(obj) <- metadata(precomputed_obj) <- list() if (!identical(obj, precomputed_obj)) stop("'", objname, "' is not identical to precomputed version") } @ \tableofcontents %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Introduction} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% In the context of an RNA-seq experiment, encoding the overlaps between the aligned reads and the transcripts can be used for detecting those overlaps that are ``compatible'' with the splicing of the transcript. Various tools are provided in the \Rpackage{IRanges} and \Rpackage{GenomicRanges} packages for working with {\it overlap encodings}. In this vignette, we illustrate the use of these tools on the single-end and paired-end reads of an RNA-seq experiment. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Load reads from a BAM file} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Load single-end reads from a BAM file} BAM file {\tt untreated1\_chr4.bam} (located in the \Rpackage{pasillaBamSubset} data package) contains single-end reads from the ``Pasilla'' experiment and aligned against the dm3 genome (see \Rcode{?untreated1\_chr4} in the \Rpackage{pasillaBamSubset} package for more information about those reads): <>= library(pasillaBamSubset) untreated1_chr4() @ We use the \Rfunction{readGAlignments} function defined in the \Rpackage{GenomicRanges} package to load the reads into a \Rclass{GAlignments} object. It's probably a good idea to get rid of the PCR or optical duplicates (flag bit 0x400 in the SAM format, see the SAM Spec \footnote{\url{http://samtools.sourceforge.net/}} for the details), as well as reads not passing quality controls (flag bit 0x200 in the SAM format). We do this by creating a \Rclass{ScanBamParam} object that we pass to \Rcode{readGAlignments} (see \Rcode{?ScanBamParam} in the \Rpackage{Rsamtools} package for the details). Note that we also use \Rcode{use.names=TRUE} in order to load the {\it query names} (aka {\it query template names}, see QNAME field in the SAM Spec) from the BAM file (\Rcode{readGAlignments} will use them to set the names of the returned object): <>= library(GenomicRanges) library(Rsamtools) flag0 <- scanBamFlag(isDuplicate=FALSE, isNotPassingQualityControls=FALSE) param0 <- ScanBamParam(flag=flag0) U1.GAL <- readGAlignments(untreated1_chr4(), use.names=TRUE, param=param0) head(U1.GAL) @ Because the aligner used to align those reads can report more than 1 alignment per {\it original query} (i.e. per read stored in the input file, typically a FASTQ file), we shouldn't expect the names of \Rcode{U1.GAL} to be unique: <>= U1.GAL_names_is_dup <- duplicated(names(U1.GAL)) table(U1.GAL_names_is_dup) @ Storing the {\it query names} in a factor will be useful as we will see later in this document: <>= U1.uqnames <- unique(names(U1.GAL)) U1.GAL_qnames <- factor(names(U1.GAL), levels=U1.uqnames) @ Note that we explicitely provide the levels of the factor to enforce their order. Otherwise \Rcode{factor()} would put them in lexicographic order which is not advisable because it depends on the locale in use. Another object that will be useful to keep near at hand is the mapping between each {\it query name} and its first occurence in \Rcode{U1.GAL\_qnames}: <>= U1.GAL_dup2unq <- match(U1.GAL_qnames, U1.GAL_qnames) @ Our reads can have up to 2 gaps (a gap corresponds to an N operation in the CIGAR): <>= head(unique(cigar(U1.GAL))) table(ngap(U1.GAL)) @ Also, the following table indicates that indels were not allowed/supported during the alignment process (no I or D CIGAR operations): <>= colSums(cigarOpTable(cigar(U1.GAL))) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Load paired-end reads from a BAM file} BAM file {\tt untreated3\_chr4.bam} (located in the \Rpackage{pasillaBamSubset} data package) contains paired-end reads from the ``Pasilla'' experiment and aligned against the dm3 genome (see \Rcode{?untreated3\_chr4} in the \Rpackage{pasillaBamSubset} package for more information about those reads). We use the \Rfunction{readGAlignmentPairs} function to load them into a \Rclass{GAlignmentPairs} object: <>= U3.galp <- readGAlignmentPairs(untreated3_chr4(), use.names=TRUE, param=param0) head(U3.galp) @ The \Rcode{show} method for \Rclass{GAlignmentPairs} objects displays two {\tt ranges} columns, one for the {\it first} alignment in the pair (the left column), and one for the {\it last} alignment in the pair (the right column). The {\tt strand} column corresponds to the strand of the {\it first} alignment. <>= head(first(U3.galp)) head(last(U3.galp)) @ According to the SAM format specifications, the aligner is expected to mark each alignment pair as {\it proper} or not (flag bit 0x2 in the SAM format). The SAM Spec only says that a pair is {\it proper} if the {\it first} and {\it last} alignments in the pair are ``properly aligned according to the aligner''. So the exact criteria used for setting this flag is left to the aligner. We use \Rcode{isProperPair} to extract this flag from the \Rclass{GAlignmentPairs} object: <>= table(isProperPair(U3.galp)) @ Even though we could do {\it overlap encodings} with the full object, we keep only the {\it proper} pairs for our downstream analysis: <>= U3.GALP <- U3.galp[isProperPair(U3.galp)] @ Because the aligner used to align those reads can report more than 1 alignment per {\it original query template} (i.e. per pair of sequences stored in the input files, typically 1 FASTQ file for the {\it first} ends and 1 FASTQ file for the {\it last} ends), we shouldn't expect the names of \Rcode{U3.GALP} to be unique: <>= U3.GALP_names_is_dup <- duplicated(names(U3.GALP)) table(U3.GALP_names_is_dup) @ Storing the {\it query template names} in a factor will be useful: <>= U3.uqnames <- unique(names(U3.GALP)) U3.GALP_qnames <- factor(names(U3.GALP), levels=U3.uqnames) @ as well as having the mapping between each {\it query template name} and its first occurence in \Rcode{U3.GALP\_qnames}: <>= U3.GALP_dup2unq <- match(U3.GALP_qnames, U3.GALP_qnames) @ Our reads can have up to 1 gap per end: <>= head(unique(cigar(first(U3.GALP)))) head(unique(cigar(last(U3.GALP)))) table(ngap(first(U3.GALP)), ngap(last(U3.GALP))) @ Like for our single-end reads, the following tables indicate that indels were not allowed/supported during the alignment process: <>= colSums(cigarOpTable(cigar(first(U3.GALP)))) colSums(cigarOpTable(cigar(last(U3.GALP)))) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Validate the alignments produced by the aligner} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% In this section we show how to validate the alignments produced by the aligner by comparing the {\it original query sequences} (aka ``true'' or ``real'' query sequences, or query sequences {\bf before} alignment) with the {\it reference query sequences} (i.e. the query sequences {\bf after} alignment). Note that even though this step is not strictly required for computing the {\it overlap encodings}, some of the concepts and string-based computations described in this section are slightly related to some ideas introduced later in this document. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Validate the single-end alignments} \subsubsection{Load the {\it original query sequences}} To load the {\it original query sequences}, we reload the BAM file but now we explicitely request the SEQ field by using \Rcode{what="seq"} in our call to \Rfunction{ScanBamParam}. To further validate the alignments produced by the aligner, we also need to load the NM tag which is a predefined tag described in the SAM Spec as the ``Edit distance to the reference, including ambiguous bases but excluding clipping'' (note that tags are optional fields i.e. not all BAM files have them): <>= param1 <- ScanBamParam(flag=flag0, what="seq", tag="NM") U1.GAL <- readGAlignments(untreated1_chr4(), use.names=TRUE, param=param1) U1.GAL_qseq <- mcols(U1.GAL)$seq names(U1.GAL_qseq) <- names(U1.GAL) head(U1.GAL_qseq) @ Because the BAM format imposes that the read sequence is ``reverse complemented'' when the read is aligned to the minus strand, we ``reverse complement'' it again to get the {\it original query sequences}: <>= U1.GAL_oqseq <- U1.GAL_qseq U1.GAL_is_on_minus <- as.logical(strand(U1.GAL) == "-") U1.GAL_oqseq[U1.GAL_is_on_minus] <- reverseComplement(U1.GAL_oqseq[U1.GAL_is_on_minus]) head(U1.GAL_oqseq) @ Note that sequences with the same {\it query name} correspond to the same {\it original query} and therefore must be the same. Let's do a quick sanity check: <>= stopifnot(all(U1.GAL_oqseq == U1.GAL_oqseq[U1.GAL_dup2unq])) @ Finally, let's reduce \Rcode{U1.GAL\_oqseq} to one {\it original query sequence} per unique {\it query name}: <>= U1.oqseq <- U1.GAL_oqseq[!U1.GAL_names_is_dup] @ If we had access to the FASTQ file used as input to the aligner, \Rcode{U1.oqseq} would be the subset of this file made of the sequences with at least 1 alignment reported in BAM file {\tt untreated1\_chr4.bam}. \subsubsection{Compute the {\it reference query sequences}} The {\it reference query sequences} can easily be computed by extracting the nucleotides mapped to each read from the reference genome. This of course requires that we have access to the reference genome used by the aligner. In Bioconductor, the full genome sequence for the dm3 assembly is stored in the \Rpackage{BSgenome.Dmelanogaster.UCSC.dm3} data package \footnote{See \url{http://bioconductor.org/packages/release/data/annotation/} for the full list of annotation packages available in the current release of Bioconductor.}: <>= library(BSgenome.Dmelanogaster.UCSC.dm3) Dmelanogaster @ Let's start by converting our \Rclass{GAlignments} object \Rcode{U1.GAL} into a \Rclass{GRangesList} object: <>= U1.grl <- grglist(U1.GAL, order.as.in.query=TRUE) @ To extract the portions of the reference genome corresponding to the ranges in \Rcode{U1.grl}, we can use the \Rfunction{extractTranscriptsFromGenome} function defined in the \Rpackage{GenomicFeatures} package: <>= library(GenomicFeatures) U1.GAL_rqseq <- extractTranscriptsFromGenome(Dmelanogaster, U1.grl) head(U1.GAL_rqseq) @ \subsubsection{Compare the {\it original query sequences} with the {\it reference query sequences}} We can use the \Rfunction{neditAt} function defined in the \Rpackage{Biostrings} package to compute the edit distance between 2 strings. Because the aligned reads have no indels, we should only see mismatches (typically a small number) during that comparison so we don't need to call \Rfunction{neditAt} with \Rcode{with.indels=TRUE}. And because calling \Rfunction{neditAt} in a loop is inefficient, we only do this comparison for the first 500 sequences in \Rcode{U1.GAL\_oqseq}: <>= U1.GAL_nedit500 <- sapply(1:500, function(i) neditAt(U1.GAL_oqseq[[i]], U1.GAL_rqseq[[i]])) table(U1.GAL_nedit500) @ Yes, the first 500 sequences in \Rcode{U1.GAL\_oqseq} are ``close'' to the first 500 sequences in \Rcode{U1.GAL\_rqseq}. Now let's compare the edit distance reported by \Rfunction{neditAt} with the edit distance reported by the aligner (NM tag). Because the latter excludes the N CIGAR operations, it should actually be the same as the former. We confirm this for the 500 edit distances computed in \Rcode{U1.GAL\_nedit500}: <>= U1.GAL_NM <- mcols(U1.GAL)$NM stopifnot(all(U1.GAL_NM[1:500] == U1.GAL_nedit500)) @ Note that the maximum observed number of mismatches tells us how many mismatches per read were tolerated by the aligner: <>= table(U1.GAL_NM) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Validate the paired-end alignments} \subsubsection{Load the {\it original query sequences}} To load the {\it original query sequences}, we reload the BAM file and request the SEQ field (and also the NM tag). Since we've removed the improper pairs from our current \Rcode{U3.GALP} object, we need to do this again but now we do it at load time which is equivalent to doing it afterward (i.e. not only do we have the guarantee to end up with the same elements in \Rcode{U3.GALP}, but also to have them in the same order): <>= flag2 <- scanBamFlag(isDuplicate=FALSE, isNotPassingQualityControls=FALSE, isProperPair=TRUE) param2 <- ScanBamParam(flag=flag2, what="seq", tag="NM") U3.GALP <- readGAlignmentPairs(untreated3_chr4(), use.names=TRUE, param=param2) @ Let's extract the {\it first} and {\it last} sequences from \Rcode{U3.GALP}: <>= U3.GALP_qseq1 <- mcols(first(U3.GALP))$seq U3.GALP_qseq2 <- mcols(last(U3.GALP))$seq names(U3.GALP_qseq1) <- names(U3.GALP_qseq2) <- names(U3.GALP) head(U3.GALP_qseq1) head(U3.GALP_qseq2) @ To obtain the {\it original query sequences} we ``reverse complement'' the sequences that are aligned to the minus strand: <>= U3.GALP_oqseq1 <- U3.GALP_qseq1 U3.GALP_first_is_on_minus <- as.logical(strand(first(U3.GALP)) == "-") U3.GALP_oqseq1[U3.GALP_first_is_on_minus] <- reverseComplement(U3.GALP_oqseq1[U3.GALP_first_is_on_minus]) U3.GALP_oqseq2 <- U3.GALP_qseq2 U3.GALP_last_is_on_minus <- as.logical(strand(last(U3.GALP)) == "-") U3.GALP_oqseq2[U3.GALP_last_is_on_minus] <- reverseComplement(U3.GALP_oqseq2[U3.GALP_last_is_on_minus]) @ Note that sequence pairs with the same {\it query template name} correspond to the same {\it original query pairs} and therefore should be the same. Let's do a quick sanity check: <>= stopifnot(all(U3.GALP_oqseq1 == U3.GALP_oqseq1[U3.GALP_dup2unq])) stopifnot(all(U3.GALP_oqseq2 == U3.GALP_oqseq2[U3.GALP_dup2unq])) @ Finally, let's reduce \Rcode{U3.GALP\_oqseq1} and \Rcode{U3.GALP\_oqseq2} to one {\it original query sequence} per unique {\it query template name}: <>= U3.oqseq1 <- U3.GALP_oqseq1[!U3.GALP_names_is_dup] U3.oqseq2 <- U3.GALP_oqseq2[!U3.GALP_names_is_dup] @ If we had access to the 2 FASTQ files used as input to the aligner, \Rcode{U3.oqseq1} and \Rcode{U3.oqseq2} would be the subsets of those files made of the sequence pairs with at least 1 alignment pair reported in BAM file {\tt untreated3\_chr4.bam}. \subsubsection{Compute the {\it reference query sequences}} Because our reads are paired-end, we extract separately the ranges corresponding to their {\it first} ends (aka {\it first} segments in BAM jargon) and those corresponding to their {\it last} ends (aka {\it last} segments in BAM jargon): <>= U3.grl_first <- grglist(first(U3.GALP), order.as.in.query=TRUE) U3.grl_last <- grglist(last(U3.GALP, invert.strand=TRUE), order.as.in.query=TRUE) @ Then we extract the portions of the reference genome corresponding to the ranges in \Rclass{GRangesList} objects \Rcode{U3.grl\_first} and \Rcode{U3.grl\_last}: <>= U3.GALP_rqseq1 <- extractTranscriptsFromGenome(Dmelanogaster, U3.grl_first) U3.GALP_rqseq2 <- extractTranscriptsFromGenome(Dmelanogaster, U3.grl_last) @ \subsubsection{Compare the {\it original query sequences} with the {\it reference query sequences}} Because the aligned reads have no indels, we should only see mismatches (typically a small number) during that comparison so we don't need to call \Rfunction{neditAt} with \Rcode{with.indels=TRUE}. Let's do this comparison for the first 500 sequences in \Rcode{U3.GALP\_oqseq1} and in \Rcode{reverseComplement(U3.GALP\_oqseq2)}: <>= U3.GALP_first_nedit500 <- sapply(1:500, function(i) neditAt(U3.GALP_oqseq1[[i]], U3.GALP_rqseq1[[i]]) ) table(U3.GALP_first_nedit500) U3.GALP_last_nedit500 <- sapply(1:500, function(i) neditAt(reverseComplement(U3.GALP_oqseq2[[i]]), U3.GALP_rqseq2[[i]]) ) table(U3.GALP_last_nedit500) @ Yes, the first 500 sequences in \Rcode{U3.GALP\_oqseq1} and in \Rcode{reverseComplement(U3.GALP\_oqseq2)} are ``close'' to the first 500 sequences in \Rcode{U3.GALP\_rqseq1} and in \Rcode{U3.GALP\_rqseq2}, respectively. Now let's compare the edit distance reported by \Rfunction{neditAt} with the edit distance reported by the aligner (NM tag). Because the latter excludes the N CIGAR operations, it should actually be the same as the former. We confirm this for the 500 edit distances computed in \Rcode{U3.GALP\_first\_nedit500} and \Rcode{U3.GALP\_last\_nedit500}: <>= U3.GALP_first_NM <- mcols(first(U3.GALP))$NM stopifnot(all(U3.GALP_first_NM[1:500] == U3.GALP_first_nedit500)) U3.GALP_last_NM <- mcols(last(U3.GALP))$NM stopifnot(all(U3.GALP_last_NM[1:500] == U3.GALP_last_nedit500)) @ Note that the following table tells us how many mismatches per read were tolerated by the aligner: <>= table(U3.GALP_first_NM, U3.GALP_last_NM) @ Up to 2 mismatches per end. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Conclusion} In addition to validate the alignments produced by the aligner, the validation described in this section is also an efficient and accurate way to make sure that the reference genome we've picked up is the same as the reference genome used by the aligner, at least for the regions covered by the reads. In other words, if it's known that the 2 reference genomes are different, then this validation could still be performed, and, if successful, would indicate that the 2 genomes are probably substitutable for most analysis happening downstream of the BAM file. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Find all the overlaps between the reads and transcripts} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Load the transcripts from a \Rclass{TranscriptDb} object} In order to compute overlaps between reads and transcripts, we need access to the genomic positions of a set of known transcripts and their exons. It is essential that the reference genome of this set of transcripts and exons be {\bf exactly} the same as the reference genome used to align the reads. We could use the \Rfunction{makeTranscriptDbFromUCSC} function defined in the \Rpackage{GenomicFeatures} package to make a \Rclass{TranscriptDb} object containing the dm3 transcripts and their exons retrieved from the UCSC Genome Browser\footnote{\url{http://genome.ucsc.edu/cgi-bin/hgGateway}}. The Bioconductor project however provides a few annotation packages containing \Rclass{TranscriptDb} objects for the most commonly studied organisms (those data packages are sometimes called the {\it TxDb} packages). One of them is the \Rpackage{TxDb.Dmelanogaster.\-UCSC.\-dm3.ensGene} package. It contains a \Rclass{TranscriptDb} object that was made by pointing the \Rfunction{makeTranscriptDbFromUCSC} function to the dm3 genome and {\it Ensembl Genes} track \footnote{See \url{http://genome.ucsc.edu/cgi-bin/hgTrackUi?hgsid=276880911&g=ensGene} for a description of this track.}. We can use it here: <>= library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) TxDb.Dmelanogaster.UCSC.dm3.ensGene txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene @ We extract the exons grouped by transcript in a \Rclass{GRangesList} object: <>= exbytx <- exonsBy(txdb, by="tx", use.names=TRUE) length(exbytx) # nb of transcripts @ <>= .checkIdenticalToPrecomputed(exbytx, "exbytx", ignore.metadata=TRUE) @ We check that all the exons in any given transcript belong to the same chromosome and strand. Knowing that our set of transcripts is free of this sort of trans-splicing events typically allows some significant simplifications during the downstream analysis \footnote{Dealing with trans-splicing events is not covered in this document.}. A quick and easy way to check this is to take advantage of the fact that \Rcode{seqnames} and \Rcode{strand} return \Rclass{RleList} objects. So we can extract the number of Rle runs for each transcript and make sure it's always 1: <>= table(elementLengths(runLength(seqnames(exbytx)))) table(elementLengths(runLength(strand(exbytx)))) @ Therefore the strand of any given transcript is unambiguously defined and can be extracted with: <>= exbytx_strand <- unlist(runValue(strand(exbytx)), use.names=FALSE) @ We will also need the mapping between the transcripts and their gene. We start by using \Rfunction{transcripts} to extract this information from our \Rclass{TranscriptDb} object \Rcode{txdb}, and then we construct a named factor that represents the mapping: <>= tx <- transcripts(txdb, columns=c("tx_name", "gene_id")) head(tx) df <- mcols(tx) exbytx2gene <- as.character(df$gene_id) exbytx2gene <- factor(exbytx2gene, levels=unique(exbytx2gene)) names(exbytx2gene) <- df$tx_name exbytx2gene <- exbytx2gene[names(exbytx)] head(exbytx2gene) nlevels(exbytx2gene) # nb of genes @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Single-end overlaps} \subsubsection{Find the single-end overlaps} We are ready to compute the overlaps with the \Rfunction{findOverlaps} function. Note that the strand of the queries produced by the RNA-seq experiment is typically unknown so we use \Rcode{ignore.strand=TRUE}: <>= U1.OV00 <- findOverlaps(U1.GAL, exbytx, ignore.strand=TRUE) @ \Rcode{U1.OV00} is a \Rclass{Hits} object that contains 1 element per overlap. Its length gives the number of overlaps: <>= length(U1.OV00) @ \subsubsection{Tabulate the single-end overlaps} We will repeatedly use the 2 following little helper functions to ``tabulate'' the overlaps in a given \Rclass{Hits} object (e.g. \Rcode{U1.OV00}), i.e. to count the number of overlaps for each element in the query or for each element in the subject: <>= nhitPerQuery <- function(x) tabulate(queryHits(x), nbins=queryLength(x)) nhitPerSubject <- function(x) tabulate(subjectHits(x), nbins=subjectLength(x)) @ Number of transcripts for each alignment in \Rcode{U1.GAL}: <>= U1.GAL_ntx <- nhitPerQuery(U1.OV00) mcols(U1.GAL)$ntx <- U1.GAL_ntx head(U1.GAL) table(U1.GAL_ntx) mean(U1.GAL_ntx >= 1) @ 76\% of the alignments in \Rcode{U1.GAL} have an overlap with at least 1 transcript in \Rcode{exbytx}. Note that \Rfunction{countOverlaps} can be used directly on \Rcode{U1.GAL} and \Rcode{exbytx} for computing \Rcode{U1.GAL\_ntx}: <>= U1.GAL_ntx_again <- countOverlaps(U1.GAL, exbytx, ignore.strand=TRUE) stopifnot(identical(unname(U1.GAL_ntx_again), U1.GAL_ntx)) @ Because \Rcode{U1.GAL} can (and actually does) contain more than 1 alignment per {\it original query} (aka read), we also count the number of transcripts for each read: <>= U1.OV10 <- remapHits(U1.OV00, query.map=U1.GAL_qnames) U1.uqnames_ntx <- nhitPerQuery(U1.OV10) names(U1.uqnames_ntx) <- U1.uqnames table(U1.uqnames_ntx) mean(U1.uqnames_ntx >= 1) @ 78.4\% of the reads have an overlap with at least 1 transcript in \Rcode{exbytx}. Number of reads for each transcript: <>= U1.exbytx_nOV10 <- nhitPerSubject(U1.OV10) names(U1.exbytx_nOV10) <- names(exbytx) mean(U1.exbytx_nOV10 >= 50) @ Only 0.869\% of the transcripts in \Rcode{exbytx} have an overlap with at least 50 reads. Top 10 transcripts: <>= head(sort(U1.exbytx_nOV10, decreasing=TRUE), n=10) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Paired-end overlaps} \subsubsection{Find the paired-end overlaps} Like with our single-end overlaps, we call \Rfunction{findOverlaps} with \Rcode{ignore.strand=TRUE}: <>= U3.OV00 <- findOverlaps(U3.GALP, exbytx, ignore.strand=TRUE) @ Like \Rcode{U1.OV00}, \Rcode{U3.OV00} is a \Rclass{Hits} object. Its length gives the number of paired-end overlaps: <>= length(U3.OV00) @ \subsubsection{Tabulate the paired-end overlaps} Number of transcripts for each alignment pair in \Rcode{U3.GALP}: <>= U3.GALP_ntx <- nhitPerQuery(U3.OV00) mcols(U3.GALP)$ntx <- U3.GALP_ntx head(U3.GALP) table(U3.GALP_ntx) mean(U3.GALP_ntx >= 1) @ 71\% of the alignment pairs in \Rcode{U3.GALP} have an overlap with at least 1 transcript in \Rcode{exbytx}. Note that \Rfunction{countOverlaps} can be used directly on \Rcode{U3.GALP} and \Rcode{exbytx} for computing \Rcode{U3.GALP\_ntx}: <>= U3.GALP_ntx_again <- countOverlaps(U3.GALP, exbytx, ignore.strand=TRUE) stopifnot(identical(unname(U3.GALP_ntx_again), U3.GALP_ntx)) @ Because \Rcode{U3.GALP} can (and actually does) contain more than 1 alignment pair per {\it original query template}, we also count the number of transcripts for each template: <>= U3.OV10 <- remapHits(U3.OV00, query.map=U3.GALP_qnames) U3.uqnames_ntx <- nhitPerQuery(U3.OV10) names(U3.uqnames_ntx) <- U3.uqnames table(U3.uqnames_ntx) mean(U3.uqnames_ntx >= 1) @ 72.3\% of the templates have an overlap with at least 1 transcript in \Rcode{exbytx}. Number of templates for each transcript: <>= U3.exbytx_nOV10 <- nhitPerSubject(U3.OV10) names(U3.exbytx_nOV10) <- names(exbytx) mean(U3.exbytx_nOV10 >= 50) @ Only 0.756\% of the transcripts in \Rcode{exbytx} have an overlap with at least 50 templates. Top 10 transcripts: <>= head(sort(U3.exbytx_nOV10, decreasing=TRUE), n=10) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Encode the overlaps between the reads and transcripts} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Single-end encodings} The {\it overlap encodings} are strand sensitive so we will compute them twice, once for the ``original alignments'' (i.e. the alignments of the {\it original queries}), and once again for the ``flipped alignments'' (i.e. the alignments of the ``flipped {\it original queries}''). We extract the ranges of the ``original'' and ``flipped'' alignments in 2 \Rclass{GRangesList} objects with: <>= U1.grlf <- flipQuery(U1.grl) # flipped @ and encode their overlaps with the transcripts: <>= U1.ovencA <- encodeOverlaps(U1.grl, exbytx, hits=U1.OV00) U1.ovencB <- encodeOverlaps(U1.grlf, exbytx, hits=U1.OV00) @ \Rcode{U1.ovencA} and \Rcode{U1.ovencB} are 2 \Rclass{OverlapsEncodings} objects of the same length as \Rclass{Hits} object \Rcode{U1.OV00}. For each hit in \Rcode{U1.OV00}, we have 2 corresponding encodings, one in \Rcode{U1.ovencA} and one in \Rcode{U1.ovencB}, but only one of them encodes a hit between alignment ranges and exon ranges that are on the same strand. We use the \Rfunction{selectEncodingWithCompatibleStrand} function to merge them into a single \Rclass{OverlapsEncodings} of the same length. For each hit in \Rcode{U1.OV00}, this selects the encoding corresponding to alignment ranges and exon ranges with compatible strand: <>= U1.grl_strand <- unlist(runValue(strand(U1.grl)), use.names=FALSE) U1.ovenc <- selectEncodingWithCompatibleStrand(U1.ovencA, U1.ovencB, U1.grl_strand, exbytx_strand, hits=U1.OV00) U1.ovenc @ As a convenience, the 2 above calls to \Rfunction{encodeOverlaps} + merging step can be replaced by a single call to \Rfunction{encodeOverlaps} on \Rcode{U1.grl} (or \Rcode{U1.grlf}) with \Rcode{flip.query.if.wrong.strand=TRUE}: <>= U1.ovenc_again <- encodeOverlaps(U1.grl, exbytx, hits=U1.OV00, flip.query.if.wrong.strand=TRUE) stopifnot(identical(U1.ovenc_again, U1.ovenc)) @ Unique encodings in \Rcode{U1.ovenc}: <>= U1.unique_encodings <- levels(U1.ovenc) length(U1.unique_encodings) head(U1.unique_encodings) U1.ovenc_table <- table(encoding(U1.ovenc)) tail(sort(U1.ovenc_table)) @ Encodings are sort of cryptic but utilities are provided to extract specific meaning from them. Use of these utilities is covered later in this document. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Paired-end encodings} Let's encode the overlaps in \Rcode{U3.OV00}: <>= U3.grl <- grglist(U3.GALP, order.as.in.query=TRUE) U3.ovenc <- encodeOverlaps(U3.grl, exbytx, hits=U3.OV00, flip.query.if.wrong.strand=TRUE) U3.ovenc @ Unique encodings in \Rcode{U3.ovenc}: <>= U3.unique_encodings <- levels(U3.ovenc) length(U3.unique_encodings) head(U3.unique_encodings) U3.ovenc_table <- table(encoding(U3.ovenc)) tail(sort(U3.ovenc_table)) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{``Compatible'' overlaps} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% We are interested in a particular type of overlap where the read overlaps the transcript in a ``compatible'' way, that is, in a way compatible with the splicing of the transcript. The \Rfunction{isCompatibleWithSplicing} function can be used on an \Rclass{OverlapEncodings} object to detect this type of overlap. Note that \Rfunction{isCompatibleWithSplicing} can also be used on a character vector or factor. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{``Compatible'' single-end overlaps} \subsubsection{``Compatible'' single-end encodings} \Rcode{U1.ovenc} contains 7 unique encodings ``compatible'' with the splicing of the transcript: <>= sort(U1.ovenc_table[isCompatibleWithSplicing(U1.unique_encodings)]) @ Encodings \Rcode{"1:i:"} (455176 occurences in \Rcode{U1.ovenc}), \Rcode{"2:jm:af:"} (72929 occurences in \Rcode{U1.ovenc}), and \Rcode{"3:jmm:agm:aaf:"} (488 occurences in \Rcode{U1.ovenc}), correspond to the following overlaps: \begin{itemize} \item \Rcode{"1:i:"} \begin{verbatim} - read (no gap): oooooooo - transcript: ... >>>>>>>>>>>>>> ... \end{verbatim} \item \Rcode{"2:jm:af:"} \begin{verbatim} - read (1 gap): ooooo---ooo - transcript: ... >>>>>>>>> >>>>>>>>> ... \end{verbatim} \item \Rcode{"3:jmm:agm:aaf:"} \begin{verbatim} - read (2 gaps): oo---ooooo---o - transcript: ... >>>>>>>> >>>>> >>>>>>> ... \end{verbatim} \end{itemize} For clarity, only the exons involved in the overlap are represented. The transcript can of course have more upstream and downstream exons, which is denoted by the ... on the left side (5' end) and right side (3' end) of each drawing. Note that the exons represented in the 2nd and 3rd drawings are consecutive and adjacent in the processed transcript. Encodings \Rcode{"1:f:"} and \Rcode{"1:j:"} are variations of the situation described by encoding \Rcode{"1:i:"}. For \Rcode{"1:f:"}, the first aligned base of the read (or ``flipped'' read) is aligned with the first base of the exon. For \Rcode{"1:j:"}, the last aligned base of the read (or ``flipped'' read) is aligned with the last base of the exon: \begin{itemize} \item \Rcode{"1:f:"} \begin{verbatim} - read (no gap): oooooooo - transcript: ... >>>>>>>>>>>>>> ... \end{verbatim} \item \Rcode{"1:j:"} \begin{verbatim} - read (no gap): oooooooo - transcript: ... >>>>>>>>>>>>>> ... \end{verbatim} \end{itemize} <>= U1.OV00_is_comp <- isCompatibleWithSplicing(U1.ovenc) table(U1.OV00_is_comp) # 531797 "compatible" overlaps @ Finally, let's extract the ``compatible'' overlaps from \Rcode{U1.OV00}: <>= U1.compOV00 <- U1.OV00[U1.OV00_is_comp] @ Note that high-level convenience wrapper \Rfunction{findCompatibleOverlaps} can be used for computing the ``compatible'' overlaps directly between a \Rclass{GAlignments} object (containing reads) and a \Rclass{GRangesList} object (containing transcripts): <>= U1.compOV00_again <- findCompatibleOverlaps(U1.GAL, exbytx) stopifnot(identical(U1.compOV00_again, U1.compOV00)) @ \subsubsection{Tabulate the ``compatible'' single-end overlaps} Number of ``compatible'' transcripts for each alignment in \Rcode{U1.GAL}: <>= U1.GAL_ncomptx <- nhitPerQuery(U1.compOV00) mcols(U1.GAL)$ncomptx <- U1.GAL_ncomptx head(U1.GAL) table(U1.GAL_ncomptx) mean(U1.GAL_ncomptx >= 1) @ 75\% of the alignments in \Rcode{U1.GAL} are ``compatible'' with at least 1 transcript in \Rcode{exbytx}. Note that high-level convenience wrapper \Rfunction{countCompatibleOverlaps} can be used directly on \Rcode{U1.GAL} and \Rcode{exbytx} for computing \Rcode{U1.GAL\_ncomptx}: <>= U1.GAL_ncomptx_again <- countCompatibleOverlaps(U1.GAL, exbytx) stopifnot(identical(U1.GAL_ncomptx_again, U1.GAL_ncomptx)) @ Number of ``compatible'' transcripts for each read: <>= U1.compOV10 <- remapHits(U1.compOV00, query.map=U1.GAL_qnames) U1.uqnames_ncomptx <- nhitPerQuery(U1.compOV10) names(U1.uqnames_ncomptx) <- U1.uqnames table(U1.uqnames_ncomptx) mean(U1.uqnames_ncomptx >= 1) @ 77.5\% of the reads are ``compatible'' with at least 1 transcript in \Rcode{exbytx}. Number of ``compatible'' reads for each transcript: <>= U1.exbytx_ncompOV10 <- nhitPerSubject(U1.compOV10) names(U1.exbytx_ncompOV10) <- names(exbytx) mean(U1.exbytx_ncompOV10 >= 50) @ Only 0.87\% of the transcripts in \Rcode{exbytx} are ``compatible'' with at least 50 reads. Top 10 transcripts: <>= head(sort(U1.exbytx_ncompOV10, decreasing=TRUE), n=10) @ Note that this ``top 10'' is slightly different from the ``top 10'' we obtained earlier when we counted {\bf all} the overlaps. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{``Compatible'' paired-end overlaps} \subsubsection{``Compatible'' paired-end encodings} \Rcode{U3.ovenc} contains 13 unique paired-end encodings ``compatible'' with the splicing of the transcript: <>= sort(U3.ovenc_table[isCompatibleWithSplicing(U3.unique_encodings)]) @ Paired-end encodings \Rcode{"1{-}{-}1:i{-}{-}i:"} (100084 occurences in \Rcode{U3.ovenc}), \Rcode{"2{-}{-}1:jm{-}{-}m:af{-}{-}i:"} (2700 occurences in \Rcode{U3.ovenc}), \Rcode{"1{-}{-}2:i{-}{-}jm:a{-}{-}af:"} (2480 occurences in \Rcode{U3.ovenc}), \Rcode{"1{-}{-}1:i{-}{-}m:a{-}{-}i:"} (287 occurences in \Rcode{U3.ovenc}), and \Rcode{"2{-}{-}2:jm{-}{-}mm:af{-}{-}jm:aa{-}{-}af:"} (153 occurences in \Rcode{U3.ovenc}), correspond to the following paired-end overlaps: \begin{itemize} \item \Rcode{"1{-}{-}1:i{-}{-}i:"} \begin{verbatim} - paired-end read (no gap on the first end, no gap on the last end): oooo oooo - transcript: ... >>>>>>>>>>>>>>>> ... \end{verbatim} \item \Rcode{"2{-}{-}1:jm{-}{-}m:af{-}{-}i:"} \begin{verbatim} - paired-end read (1 gap on the first end, no gap on the last end): ooo---o oooo - transcript: ... >>>>>>>> >>>>>>>>>>> ... \end{verbatim} \item \Rcode{"1{-}{-}2:i{-}{-}jm:a{-}{-}af:"} \begin{verbatim} - paired-end read (no gap on the first end, 1 gap on the last end): oooo oo---oo - transcript: ... >>>>>>>>>>>>>> >>>>>>>>> ... \end{verbatim} \item \Rcode{"1{-}{-}1:i{-}{-}m:a{-}{-}i:"} \begin{verbatim} - paired-end read (no gap on the first end, no gap on the last end): oooo oooo - transcript: ... >>>>>>>>> >>>>>>> ... \end{verbatim} \item \Rcode{"2{-}{-}2:jm{-}{-}mm:af{-}{-}jm:aa{-}{-}af:"} \begin{verbatim} - paired-end read (1 gap on the first end, 1 gap on the last end): ooo---o oo---oo - transcript: ... >>>>>> >>>>>>> >>>>> ... \end{verbatim} \end{itemize} Note: switch use of ``first'' and ``last'' above if the read was ``flipped''. <>= U3.OV00_is_comp <- isCompatibleWithSplicing(U3.ovenc) table(U3.OV00_is_comp) # 106835 "compatible" paired-end overlaps @ Finally, let's extract the ``compatible'' paired-end overlaps from \Rcode{U3.OV00}: <>= U3.compOV00 <- U3.OV00[U3.OV00_is_comp] @ Note that, like with our single-end reads, high-level convenience wrapper \Rfunction{findCompatibleOverlaps} can be used for computing the ``compatible'' paired-end overlaps directly between a \Rclass{GAlignmentPairs} object (containing paired-end reads) and a \Rclass{GRangesList} object (containing transcripts): <>= U3.compOV00_again <- findCompatibleOverlaps(U3.GALP, exbytx) stopifnot(identical(U3.compOV00_again, U3.compOV00)) @ \subsubsection{Tabulate the ``compatible'' paired-end overlaps} Number of ``compatible'' transcripts for each alignment pair in \Rcode{U3.GALP}: <>= U3.GALP_ncomptx <- nhitPerQuery(U3.compOV00) mcols(U3.GALP)$ncomptx <- U3.GALP_ncomptx head(U3.GALP) table(U3.GALP_ncomptx) mean(U3.GALP_ncomptx >= 1) @ 69.7\% of the alignment pairs in \Rcode{U3.GALP} are ``compatible'' with at least 1 transcript in \Rcode{exbytx}. Note that high-level convenience wrapper \Rfunction{countCompatibleOverlaps} can be used directly on \Rcode{U3.GALP} and \Rcode{exbytx} for computing \Rcode{U3.GALP\_ncomptx}: <>= U3.GALP_ncomptx_again <- countCompatibleOverlaps(U3.GALP, exbytx) stopifnot(identical(U3.GALP_ncomptx_again, U3.GALP_ncomptx)) @ Number of ``compatible'' transcripts for each template: <>= U3.compOV10 <- remapHits(U3.compOV00, query.map=U3.GALP_qnames) U3.uqnames_ncomptx <- nhitPerQuery(U3.compOV10) names(U3.uqnames_ncomptx) <- U3.uqnames table(U3.uqnames_ncomptx) mean(U3.uqnames_ncomptx >= 1) @ 70.7\% of the templates are ``compatible'' with at least 1 transcript in \Rcode{exbytx}. Number of ``compatible'' templates for each transcript: <>= U3.exbytx_ncompOV10 <- nhitPerSubject(U3.compOV10) names(U3.exbytx_ncompOV10) <- names(exbytx) mean(U3.exbytx_ncompOV10 >= 50) @ Only 0.7\% of the transcripts in \Rcode{exbytx} are ``compatible'' with at least 50 templates. Top 10 transcripts: <>= head(sort(U3.exbytx_ncompOV10, decreasing=TRUE), n=10) @ Note that this ``top 10'' is slightly different from the ``top 10'' we obtained earlier when we counted {\bf all} the paired-end overlaps. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Project the alignments on the transcriptome} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Project the single-end alignments on the transcriptome} The \Rfunction{extractQueryStartInTranscript} function computes for each overlap the position of the {\it query start} in the transcript: <>= U1.OV00_qstart <- extractQueryStartInTranscript(U1.grl, exbytx, hits=U1.OV00, ovenc=U1.ovenc) head(subset(U1.OV00_qstart, U1.OV00_is_comp)) @ \Rcode{U1.OV00\_qstart} is a data frame with 1 row per overlap and 3 columns: \begin{enumerate} \item \Rcode{startInTranscript}: the 1-based start position of the read with respect to the transcript. Position 1 always corresponds to the first base on the 5' end of the transcript sequence. \item \Rcode{firstSpannedExonRank}: the rank of the first exon spanned by the read, that is, the rank of the exon found at position \Rcode{startInTranscript} in the transcript. \item \Rcode{startInFirstSpannedExon}: the 1-based start position of the read with respect to the first exon spanned by the read. \end{enumerate} Having this information allows us for example to compare the read and transcript nucleotide sequences for each ``compatible'' overlap. If we use the {\it reference query sequence} instead of the {\it original query sequence} for this comparison, then it should match {\bf exactly} the sequence found at the {\it query start} in the transcript. Let's start by using the \Rfunction{extractTranscriptsFromGenome} to extract the transcript sequences (aka transcriptome) from the dm3 reference genome: <>= txseq <- extractTranscriptsFromGenome(Dmelanogaster, exbytx) @ For each ``compatible'' overlap, the read sequence in \Rcode{U1.GAL\_rqseq} must be an {\it exact} substring of the transcript sequence in \Rcode{exbytx\_seq}: <>= U1.OV00_rqseq <- U1.GAL_rqseq[queryHits(U1.OV00)] U1.OV00_rqseq[flippedQuery(U1.ovenc)] <- reverseComplement(U1.OV00_rqseq[flippedQuery(U1.ovenc)]) U1.OV00_txseq <- txseq[subjectHits(U1.OV00)] stopifnot(all( U1.OV00_rqseq[U1.OV00_is_comp] == narrow(U1.OV00_txseq[U1.OV00_is_comp], start=U1.OV00_qstart$startInTranscript[U1.OV00_is_comp], width=width(U1.OV00_rqseq)[U1.OV00_is_comp]) )) @ Because of this relationship between the {\it reference query sequence} and the transcript sequence of a ``compatible'' overlap, and because of the relationship between the {\it original query sequences} and the {\it reference query sequences}, then the edit distance reported in the NM tag is actually the edit distance between the {\it original query} and the transcript of a ``compatible'' overlap. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Project the paired-end alignments on the transcriptome} For a paired-end read, the {\it query start} is the start of its ``left end''. <>= U3.OV00_Lqstart <- extractQueryStartInTranscript(U3.grl, exbytx, hits=U3.OV00, ovenc=U3.ovenc) head(subset(U3.OV00_Lqstart, U3.OV00_is_comp)) @ Note that \Rfunction{extractQueryStartInTranscript} can be called with \Rcode{for.query.right.end=TRUE} if we want this information for the ``right ends'' of the reads: <>= U3.OV00_Rqstart <- extractQueryStartInTranscript(U3.grl, exbytx, hits=U3.OV00, ovenc=U3.ovenc, for.query.right.end=TRUE) head(subset(U3.OV00_Rqstart, U3.OV00_is_comp)) @ Like with single-end reads, having this information allows us for example to compare the read and transcript nucleotide sequences for each ``compatible'' overlap. If we use the {\it reference query sequence} instead of the {\it original query sequence} for this comparison, then it should match {\bf exactly} the sequences of the ``left'' and ``right'' ends of the read in the transcript. Let's assign the ``left and right reference query sequences'' to each overlap: <>= U3.OV00_Lrqseq <- U3.GALP_rqseq1[queryHits(U3.OV00)] U3.OV00_Rrqseq <- U3.GALP_rqseq2[queryHits(U3.OV00)] @ For the single-end reads, the sequence associated with a ``flipped query'' just needed to be ``reverse complemented''. For paired-end reads, we also need to swap the 2 sequences in the pair: <>= flip_idx <- which(flippedQuery(U3.ovenc)) tmp <- U3.OV00_Lrqseq[flip_idx] U3.OV00_Lrqseq[flip_idx] <- reverseComplement(U3.OV00_Rrqseq[flip_idx]) U3.OV00_Rrqseq[flip_idx] <- reverseComplement(tmp) @ Let's assign the transcript sequence to each overlap: <>= U3.OV00_txseq <- txseq[subjectHits(U3.OV00)] @ For each ``compatible'' overlap, we expect the ``left and right reference query sequences'' of the read to be {\it exact} substrings of the transcript sequence. Let's check the ``left reference query sequences'': <>= stopifnot(all( U3.OV00_Lrqseq[U3.OV00_is_comp] == narrow(U3.OV00_txseq[U3.OV00_is_comp], start=U3.OV00_Lqstart$startInTranscript[U3.OV00_is_comp], width=width(U3.OV00_Lrqseq)[U3.OV00_is_comp]) )) @ and the ``right reference query sequences'': <>= stopifnot(all( U3.OV00_Rrqseq[U3.OV00_is_comp] == narrow(U3.OV00_txseq[U3.OV00_is_comp], start=U3.OV00_Rqstart$startInTranscript[U3.OV00_is_comp], width=width(U3.OV00_Rrqseq)[U3.OV00_is_comp]) )) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Align the reads to the transcriptome} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Aligning the reads to the reference genome is not the most efficient nor accurate way to count the number of ``compatible'' overlaps per {\it original query}. Supporting junction reads (i.e. reads that align with at least 1 gap) introduces a significant computational cost during the alignment process. Then, as we've seen in the previous sections, each alignment produced by the aligner needs to be broken into a set of ranges (based on its CIGAR) and those ranges compared to the ranges of the exons grouped by transcript. A more straightforward and accurate approach is to align the reads directly to the transcriptome, and without allowing the typical gap that the aligner needs to introduce when aligning a junction read to the reference genome. With this approach, a ``hit'' between a read and a transcript is necessarily compatible with the splicing of the transcript. In case of a ``hit'', we'll say that the read and the transcript are ``string-based compatible'' (to differentiate from our previous notion of ``compatible'' overlaps that we will call ``encoding-based compatible'' from now on, unless the context is clear). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Align the single-end reads to the transcriptome} \subsubsection{Find the ``hits''} The single-end reads are in \Rcode{U1.oqseq}, the transcriptome is in \Rcode{exbytx\_seq}. Since indels were not allowed/supported during the alignment of the reads to the reference genome, we don't need to allow/support them either for aligning the reads to the transcriptome. Also since our goal is to find (and count) ``compatible'' overlaps between reads and transcripts, we don't need to keep track of the details of the alignments between the reads and the transcripts. Finally, since BAM file {\tt untreated1\_chr4.bam} is not the full output of the aligner but the subset obtained by keeping only the alignments located on chr4, we don't need to align \Rcode{U1.oqseq} to the full transcriptome, but only to the subset of \Rcode{exbytx\_seq} made of the transcripts located on chr4. With those simplifications in mind, we write the following function that we will use to find the ``hits'' between the reads and the transcriptome: <>= ### A wrapper to vwhichPDict() that supports IUPAC ambiguity codes in 'qseq' ### and 'txseq', and treats them as such. findSequenceHits <- function(qseq, txseq, which.txseq=NULL, max.mismatch=0) { .asHits <- function(x, pattern_length) { query_hits <- unlist(x) if (is.null(query_hits)) query_hits <- integer(0) subject_hits <- rep.int(seq_len(length(x)), elementLengths(x)) new("Hits", queryHits=query_hits, subjectHits=subject_hits, queryLength=pattern_length, subjectLength=length(x)) } .isHitInTranscriptBounds <- function(hits, qseq, txseq) { sapply(seq_len(length(hits)), function(i) { pattern <- qseq[[queryHits(hits)[i]]] subject <- txseq[[subjectHits(hits)[i]]] v <- matchPattern(pattern, subject, max.mismatch=max.mismatch, fixed=FALSE) any(1L <= start(v) & end(v) <= length(subject)) }) } if (!is.null(which.txseq)) { txseq0 <- txseq txseq <- txseq[which.txseq] } names(qseq) <- NULL other <- alphabetFrequency(qseq, baseOnly=TRUE)[ , "other"] is_clean <- other == 0L # "clean" means "no IUPAC ambiguity code" ## Find hits for "clean" original queries. qseq0 <- qseq[is_clean] pdict0 <- PDict(qseq0, max.mismatch=max.mismatch) m0 <- vwhichPDict(pdict0, txseq, max.mismatch=max.mismatch, fixed="pattern") hits0 <- .asHits(m0, length(qseq0)) hits0@queryLength <- length(qseq) hits0@queryHits <- which(is_clean)[hits0@queryHits] ## Find hits for non "clean" original queries. qseq1 <- qseq[!is_clean] m1 <- vwhichPDict(qseq1, txseq, max.mismatch=max.mismatch, fixed=FALSE) hits1 <- .asHits(m1, length(qseq1)) hits1@queryLength <- length(qseq) hits1@queryHits <- which(!is_clean)[hits1@queryHits] ## Combine the hits. query_hits <- c(queryHits(hits0), queryHits(hits1)) subject_hits <- c(subjectHits(hits0), subjectHits(hits1)) if (!is.null(which.txseq)) { ## Remap the hits. txseq <- txseq0 subject_hits <- which.txseq[subject_hits] hits0@subjectLength <- length(txseq) } ## Order the hits. oo <- IRanges:::orderIntegerPairs(query_hits, subject_hits) hits0@queryHits <- query_hits[oo] hits0@subjectHits <- subject_hits[oo] if (max.mismatch != 0L) { ## Keep only "in bounds" hits. is_in_bounds <- .isHitInTranscriptBounds(hits0, qseq, txseq) hits0 <- hits0[is_in_bounds] } hits0 } @ Let's compute the index of the transcripts in \Rcode{exbytx\_seq} located on chr4 (\Rfunction{findSequenceHits} will restrict the search to those transcripts): <>= chr4tx <- transcripts(txdb, vals=list(tx_chrom="chr4")) chr4txnames <- mcols(chr4tx)$tx_name which.txseq <- match(chr4txnames, names(txseq)) @ We know that the aligner tolerated up to 6 mismatches per read. The 3 following commands find the ``hits'' for each {\it original query}, then find the ``hits'' for each ``flipped {\it original query}'', and finally merge all the ``hits'' (note that the 3 commands take about 1 hour to complete on a modern laptop): <>= U1.sbcompHITSa <- findSequenceHits(U1.oqseq, txseq, which.txseq=which.txseq, max.mismatch=6) U1.sbcompHITSb <- findSequenceHits(reverseComplement(U1.oqseq), txseq, which.txseq=which.txseq, max.mismatch=6) U1.sbcompHITS <- union(U1.sbcompHITSa, U1.sbcompHITSb) @ <>= U1.sbcompHITSa <- .loadPrecomputed("U1.sbcompHITSa") U1.sbcompHITSb <- .loadPrecomputed("U1.sbcompHITSb") U1.sbcompHITS <- union(U1.sbcompHITSa, U1.sbcompHITSb) @ \subsubsection{Tabulate the ``hits''} Number of ``string-based compatible'' transcripts for each read: <>= U1.uqnames_nsbcomptx <- nhitPerQuery(U1.sbcompHITS) names(U1.uqnames_nsbcomptx) <- U1.uqnames table(U1.uqnames_nsbcomptx) mean(U1.uqnames_nsbcomptx >= 1) @ 77.7\% of the reads are ``string-based compatible'' with at least 1 transcript in \Rcode{exbytx}. Number of ``string-based compatible'' reads for each transcript: <>= U1.exbytx_nsbcompHITS <- nhitPerSubject(U1.sbcompHITS) names(U1.exbytx_nsbcompHITS) <- names(exbytx) mean(U1.exbytx_nsbcompHITS >= 50) @ Only 0.865\% of the transcripts in \Rcode{exbytx} are ``string-based compatible'' with at least 50 reads. Top 10 transcripts: <>= head(sort(U1.exbytx_nsbcompHITS, decreasing=TRUE), n=10) @ \subsubsection{A closer look at the ``hits''} [WORK IN PROGRESS, might be removed or replaced soon...] Any ``encoding-based compatible'' overlap is of course ``string-based compatible'': <>= stopifnot(length(setdiff(U1.compOV10, U1.sbcompHITS)) == 0) @ but the reverse is not true: <>= length(setdiff(U1.sbcompHITS, U1.compOV10)) @ %To understand why the {\it overlap encodings} approach doesn't find all %the ``string-based compatible'' hits, let's look at the second hit in %\Rcode{setdiff(U1.sbcompHITS, U1.compOV10)}. This is a perfect hit between %read SRR031728.4692406 and transcript 18924: % %<<>>= %matchPattern(U1.oqseq[[6306]], txseq[[18924]]) %U1.GAL_idx <- which(U1.GAL_qnames == "SRR031728.4692406") %U1.GAL[U1.GAL_idx] %U1.GAL_idx %in% queryHits(U1.OV00) %U1.GAL[12636] %which(queryHits(U1.OV00) == 12636) %U1.OV00[305] %as.character(encoding(U1.ovenc)[305]) %@ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{Align the paired-end reads to the transcriptome} [COMING SOON...] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{``Almost compatible'' overlaps} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% In many aspects, ``compatible'' overlaps can be seen as perfect. We are now insterested in a less perfect type of overlap where the read overlaps the transcript in a way that {\it would} be ``compatible'' if 1 or more exons were removed from the transcript. In that case we say that the overlap is ``almost compatible'' with the transcript. The \Rfunction{isCompatibleWithSkippedExons} function can be used on an \Rclass{OverlapEncodings} object to detect this type of overlap. Note that \Rfunction{isCompatibleWithSkippedExons} can also be used on a character vector of factor. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{``Almost compatible'' single-end overlaps} \subsubsection{``Almost compatible'' single-end encodings} \Rcode{U1.ovenc} contains 7 unique encodings ``almost compatible'' with the splicing of the transcript: <>= sort(U1.ovenc_table[isCompatibleWithSkippedExons(U1.unique_encodings)]) @ Encodings \Rcode{"2:jm:am:af:"} (1015 occurences in \Rcode{U1.ovenc}), \Rcode{"2:jm:am:am:af:"} (144 occurences in \Rcode{U1.ovenc}), and \Rcode{"3:jmm:agm:aam:aaf:"} (21 occurences in \Rcode{U1.ovenc}), correspond to the following overlaps: \begin{itemize} \item \Rcode{"2:jm:am:af:"} \begin{verbatim} - read (1 gap): ooooo----------ooo - transcript: ... >>>>>>> >>>> >>>>>>>> ... \end{verbatim} \item \Rcode{"2:jm:am:am:af:"} \begin{verbatim} - read (1 gap): ooooo------------------ooo - transcript: ... >>>>>>> >>>> >>>>> >>>>>>>> ... \end{verbatim} \item \Rcode{"3:jmm:agm:aam:aaf:"} \begin{verbatim} - read (2 gaps): oo---oooo-----------oo - transcript: ... >>>>>>> >>>> >>>>> >>>>>>>> ... \end{verbatim} \end{itemize} <>= U1.OV00_is_acomp <- isCompatibleWithSkippedExons(U1.ovenc) table(U1.OV00_is_acomp) # 1202 "almost compatible" overlaps @ Finally, let's extract the ``almost compatible'' overlaps from \Rcode{U1.OV00}: <>= U1.acompOV00 <- U1.OV00[U1.OV00_is_acomp] @ \subsubsection{Tabulate the ``almost compatible'' single-end overlaps} Number of ``almost compatible'' transcripts for each alignment in \Rcode{U1.GAL}: <>= U1.GAL_nacomptx <- nhitPerQuery(U1.acompOV00) mcols(U1.GAL)$nacomptx <- U1.GAL_nacomptx head(U1.GAL) table(U1.GAL_nacomptx) mean(U1.GAL_nacomptx >= 1) @ Only 0.27\% of the alignments in \Rcode{U1.GAL} are ``almost compatible'' with at least 1 transcript in \Rcode{exbytx}. Number of ``almost compatible'' alignments for each transcript: <>= U1.exbytx_nacompOV00 <- nhitPerSubject(U1.acompOV00) names(U1.exbytx_nacompOV00) <- names(exbytx) table(U1.exbytx_nacompOV00) mean(U1.exbytx_nacompOV00 >= 50) @ Only 0.017\% of the transcripts in \Rcode{exbytx} are ``almost compatible'' with at least 50 alignments in \Rcode{U1.GAL}. Finally note that the ``query start in transcript'' values returned by \Rfunction{extractQueryStartInTranscript} are also defined for ``almost compatible'' overlaps: <>= head(subset(U1.OV00_qstart, U1.OV00_is_acomp)) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{``Almost compatible'' paired-end overlaps} \subsubsection{``Almost compatible'' paired-end encodings} \Rcode{U3.ovenc} contains 5 unique paired-end encodings ``almost compatible'' with the splicing of the transcript: <>= sort(U3.ovenc_table[isCompatibleWithSkippedExons(U3.unique_encodings)]) @ Paired-end encodings \Rcode{"2{-}{-}1:jm{-}{-}m:am{-}{-}m:af{-}{-}i:"} (73 occurences in \Rcode{U3.ovenc}), \Rcode{"1{-}{-}2:i{-}{-}jm:a{-}{-}am:a{-}{-}af:"} (53 occurences in \Rcode{U3.ovenc}), and \Rcode{"2{-}{-}2:jm{-}{-}mm:am{-}{-}mm:af{-}{-}jm:aa{-}{-}af:"} (9 occurences in \Rcode{U3.ovenc}), correspond to the following paired-end overlaps: \begin{itemize} \item \Rcode{"2{-}{-}1:jm{-}{-}m:am{-}{-}m:af{-}{-}i:"} \begin{verbatim} - paired-end read (1 gap on the first end, no gap on the last end): ooo----------o oooo - transcript: ... >>>>> >>>> >>>>>>>>> ... \end{verbatim} \item \Rcode{"1{-}{-}2:i{-}{-}jm:a{-}{-}am:a{-}{-}af:"} \begin{verbatim} - paired-end read (no gap on the first end, 1 gap on the last end): oooo oo---------oo - transcript: ... >>>>>>>>>>> >>> >>>>>> ... \end{verbatim} \item \Rcode{"2{-}{-}2:jm{-}{-}mm:am{-}{-}mm:af{-}{-}jm:aa{-}{-}af:"} \begin{verbatim} - paired-end read (1 gap on the first end, 1 gap on the last end): o----------ooo oo---oo - transcript: ... >>>>> >>>> >>>>>>>> >>>>>> ... \end{verbatim} \end{itemize} Note: switch use of ``first'' and ``last'' above if the read was ``flipped''. <>= U3.OV00_is_acomp <- isCompatibleWithSkippedExons(U3.ovenc) table(U3.OV00_is_acomp) # 141 "almost compatible" paired-end overlaps @ Finally, let's extract the ``almost compatible'' paired-end overlaps from \Rcode{U3.OV00}: <>= U3.acompOV00 <- U3.OV00[U3.OV00_is_acomp] @ \subsubsection{Tabulate the ``almost compatible'' paired-end overlaps} Number of ``almost compatible'' transcripts for each alignment pair in \Rcode{U3.GALP}: <>= U3.GALP_nacomptx <- nhitPerQuery(U3.acompOV00) mcols(U3.GALP)$nacomptx <- U3.GALP_nacomptx head(U3.GALP) table(U3.GALP_nacomptx) mean(U3.GALP_nacomptx >= 1) @ Only 0.2\% of the alignment pairs in \Rcode{U3.GALP} are ``almost compatible'' with at least 1 transcript in \Rcode{exbytx}. Number of ``almost compatible'' alignment pairs for each transcript: <>= U3.exbytx_nacompOV00 <- nhitPerSubject(U3.acompOV00) names(U3.exbytx_nacompOV00) <- names(exbytx) table(U3.exbytx_nacompOV00) mean(U3.exbytx_nacompOV00 >= 50) @ Only 0.0034\% of the transcripts in \Rcode{exbytx} are ``almost compatible'' with at least 50 alignment pairs in \Rcode{U3.GALP}. Finally note that the ``query start in transcript'' values returned by \Rfunction{extractQueryStartInTranscript} are also defined for ``almost compatible'' paired-end overlaps: <>= head(subset(U3.OV00_Lqstart, U3.OV00_is_acomp)) head(subset(U3.OV00_Rqstart, U3.OV00_is_acomp)) @ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Detect novel splice junctions} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{By looking at single-end overlaps} An alignment in \Rcode{U1.GAL} with ``almost compatible'' overlaps but no ``compatible'' overlaps suggests the presence of one or more transcripts that are not in our annotations. First we extract the index of those alignments ({\it nsj} here stands for ``{\bf n}ovel {\bf s}plice {\bf j}unction''): <>= U1.GAL_is_nsj <- U1.GAL_nacomptx != 0L & U1.GAL_ncomptx == 0L head(which(U1.GAL_is_nsj)) @ We make this an index into \Rcode{U1.OV00}: <>= U1.OV00_is_nsj <- queryHits(U1.OV00) %in% which(U1.GAL_is_nsj) @ We intersect with \Rcode{U1.OV00\_is\_acomp} and then subset \Rcode{U1.OV00} to keep only the overlaps that suggest novel splicing: <>= U1.OV00_is_nsj <- U1.OV00_is_nsj & U1.OV00_is_acomp U1.nsjOV00 <- U1.OV00[U1.OV00_is_nsj] @ For each overlap in \Rcode{U1.nsjOV00}, we extract the ranks of the skipped exons (we use a list for this as there might be more than 1 skipped exon per overlap): <>= U1.nsjOV00_skippedex <- extractSkippedExonRanks(U1.ovenc)[U1.OV00_is_nsj] names(U1.nsjOV00_skippedex) <- queryHits(U1.nsjOV00) table(elementLengths(U1.nsjOV00_skippedex)) @ Finally, we split \Rcode{U1.nsjOV00\_skippedex} by transcript names: <>= f <- factor(names(exbytx)[subjectHits(U1.nsjOV00)], levels=names(exbytx)) U1.exbytx_skippedex <- split(U1.nsjOV00_skippedex, f) @ \Rcode{U1.exbytx\_skippedex} is a named list of named lists of integer vectors. The first level of names (outer names) are transcript names and the second level of names (inner names) are alignment indices into \Rcode{U1.GAL}: <>= head(names(U1.exbytx_skippedex)) # transcript names @ Transcript FBtr0089124 receives 7 hits. All of them skip exons 9 and 10: <>= U1.exbytx_skippedex$FBtr0089124 @ Transcript FBtr0089147 receives 4 hits. Two of them skip exon 2, one of them skips exons 2 to 6, and one of them skips exon 10: <>= U1.exbytx_skippedex$FBtr0089147 @ A few words about the interpretation of \Rcode{U1.exbytx\_skippedex}: Because of how we've conducted this analysis, the aligments reported in \Rcode{U1.exbytx\_skippedex} are guaranteed to not have any ``compatible'' overlaps with other known transcripts. All we can say, for example in the case of transcript FBtr0089124, is that the 7 reported hits that skip exons 9 and 10 show evidence of one or more unknown transcripts with a splice junction that corresponds to the gap between exons 8 and 11. But without further analysis, we can't make any assumption about the exons structure of those unknown transcripts. In particular, we cannot assume the existence of an unknown transcript made of the same exons as transcript FBtr0089124 minus exons 9 and 10! %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \subsection{By looking at paired-end overlaps} [COMING SOON...] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{\Rcode{sessionInfo()}} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% <>= sessionInfo() @ \end{document} GenomicRanges/inst/doc/OverlapEncodings.pdf0000644000126300012640000100751112233632021022334 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (1 Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (2 Load reads from a BAM file) endobj 9 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 12 0 obj (2.1 Load single-end reads from a BAM file) endobj 13 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 16 0 obj (2.2 Load paired-end reads from a BAM file) endobj 17 0 obj << /S /GoTo /D (section.3) >> endobj 20 0 obj (3 Validate the alignments produced by the aligner) endobj 21 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 24 0 obj (3.1 Validate the single-end alignments) endobj 25 0 obj << /S /GoTo /D (subsubsection.3.1.1) >> endobj 28 0 obj (3.1.1 Load the original query sequences) endobj 29 0 obj << /S /GoTo /D (subsubsection.3.1.2) >> endobj 32 0 obj (3.1.2 Compute the reference query sequences) endobj 33 0 obj << /S /GoTo /D (subsubsection.3.1.3) >> endobj 36 0 obj (3.1.3 Compare the original query sequences with the reference query sequences) endobj 37 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 40 0 obj (3.2 Validate the paired-end alignments) endobj 41 0 obj << /S /GoTo /D (subsubsection.3.2.1) >> endobj 44 0 obj (3.2.1 Load the 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GenomicRanges/inst/doc/summarizeOverlaps.R0000644000126300012640000001755312233632025022264 0ustar00biocbuildphs_compbio### R code from vignette source 'summarizeOverlaps.Rnw' ################################################### ### code chunk number 1: style ################################################### BiocStyle::latex() ################################################### ### code chunk number 2: options ################################################### options(width=72) options("showHeadLines" = 3) options("showTailLines" = 3) ################################################### ### code chunk number 3: firstExample ################################################### library(Rsamtools) library(DESeq) library(edgeR) fls <- list.files(system.file("extdata",package="GenomicRanges"), recursive=TRUE, pattern="*bam$", full=TRUE) bfl <- BamFileList(fls, index=character()) features <- GRanges( seqnames = c(rep("chr2L", 4), rep("chr2R", 5), rep("chr3L", 2)), ranges = IRanges(c(1000, 3000, 4000, 7000, 2000, 3000, 3600, 4000, 7500, 5000, 5400), width=c(rep(500, 3), 600, 900, 500, 300, 900, 300, 500, 500)), "-", group_id=c(rep("A", 4), rep("B", 5), rep("C", 2))) olap <- summarizeOverlaps(features, bfl) deseq <- newCountDataSet(assays(olap)$counts, rownames(colData(olap))) edger <- DGEList(assays(olap)$counts, group=rownames(colData(olap))) ################################################### ### code chunk number 4: simple ################################################### rd <- GAlignments("a", seqnames = Rle("chr1"), pos = as.integer(100), cigar = "300M", strand = strand("+")) gr1 <- GRanges("chr1", IRanges(start=50, width=150), strand="+") gr2 <- GRanges("chr1", IRanges(start=350, width=150), strand="+") ################################################### ### code chunk number 5: simpleGRanges ################################################### gr <- c(gr1, gr2) data.frame(union = assays(summarizeOverlaps(gr, rd))$counts, intStrict = assays(summarizeOverlaps(gr, rd, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(gr, rd, mode="IntersectionNotEmpty"))$counts) ################################################### ### code chunk number 6: simpleGRangesList ################################################### grl <- GRangesList(c(gr1, gr2)) data.frame(union = assays(summarizeOverlaps(grl, rd))$counts, intStrict = assays(summarizeOverlaps(grl, rd, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(grl, rd, mode="IntersectionNotEmpty"))$counts) ################################################### ### code chunk number 7: data ################################################### group_id <- c("A", "B", "C", "C", "D", "D", "E", "F", "G", "G", "H", "H") features <- GRanges( seqnames = Rle(c("chr1", "chr2", "chr1", "chr1", "chr2", "chr2", "chr1", "chr1", "chr2", "chr2", "chr1", "chr1")), strand = strand(rep("+", length(group_id))), ranges = IRanges( start=c(1000, 2000, 3000, 3600, 7000, 7500, 4000, 4000, 3000, 3350, 5000, 5400), width=c(500, 900, 500, 300, 600, 300, 500, 900, 150, 200, 500, 500)), DataFrame(group_id) ) reads <- GAlignments( names = c("a","b","c","d","e","f","g"), seqnames = Rle(c(rep(c("chr1", "chr2"), 3), "chr1")), pos = as.integer(c(1400, 2700, 3400, 7100, 4000, 3100, 5200)), cigar = c("500M", "100M", "300M", "500M", "300M", "50M200N50M", "50M150N50M"), strand = strand(rep.int("+", 7L))) ################################################### ### code chunk number 8: GRanges ################################################### data.frame(union = assays(summarizeOverlaps(features, reads))$counts, intStrict = assays(summarizeOverlaps(features, reads, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(features, reads, mode="IntersectionNotEmpty"))$counts) ################################################### ### code chunk number 9: lst ################################################### lst <- split(features, mcols(features)[["group_id"]]) length(lst) ################################################### ### code chunk number 10: GRangesList ################################################### data.frame(union = assays(summarizeOverlaps(lst, reads))$counts, intStrict = assays(summarizeOverlaps(lst, reads, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(lst, reads, mode="IntersectionNotEmpty"))$counts) ################################################### ### code chunk number 11: gff (eval = FALSE) ################################################### ## library(rtracklayer) ## fl <- paste0("ftp://ftp.ensembl.org/pub/release-62/", ## "gtf/drosophila_melanogaster/", ## "Drosophila_melanogaster.BDGP5.25.62.gtf.gz") ## gffFile <- file.path(tempdir(), basename(fl)) ## download.file(fl, gffFile) ## gff0 <- import(gffFile, asRangedData=FALSE) ################################################### ### code chunk number 12: gff_parse (eval = FALSE) ################################################### ## idx <- mcols(gff0)$source == "protein_coding" & ## mcols(gff0)$type == "exon" & ## seqnames(gff0) == "4" ## gff <- gff0[idx] ## ## adjust seqnames to match Bam files ## seqlevels(gff) <- paste("chr", seqlevels(gff), sep="") ## chr4genes <- split(gff, mcols(gff)$gene_id) ################################################### ### code chunk number 13: pasilla_param ################################################### param <- ScanBamParam( what='qual', which=GRanges("chr4", IRanges(1, 1e6)), flag=scanBamFlag(isUnmappedQuery=FALSE, isPaired=NA), tag="NH") ################################################### ### code chunk number 14: pasilla_count (eval = FALSE) ################################################### ## fls <- c("treated1.bam", "untreated1.bam", "untreated2.bam") ## path <- "pathToBAMFiles" ## bamlst <- BamFileList(fls, index=character()) ## genehits <- summarizeOverlaps(chr4genes, bamlst, mode="Union") ################################################### ### code chunk number 15: pasilla_exoncountset (eval = FALSE) ################################################### ## expdata = new("MIAME", ## name="pasilla knockdown", ## lab="Genetics and Developmental Biology, University of ## Connecticut Health Center", ## contact="Dr. Brenton Graveley", ## title="modENCODE Drosophila pasilla RNA Binding Protein RNAi ## knockdown RNA-Seq Studies", ## url="http://www.ncbi.nlm.nih.gov/projects/geo/query/acc.cgi?acc=GSE18508", ## abstract="RNA-seq of 3 biological replicates of from the Drosophila ## melanogaster S2-DRSC cells that have been RNAi depleted of mRNAs ## encoding pasilla, a mRNA binding protein and 4 biological replicates ## of the the untreated cell line.") ## pubMedIds(expdata) <- "20921232" ## ## design <- data.frame( ## condition=c("treated", "untreated", "untreated"), ## replicate=c(1,1,2), ## type=rep("single-read", 3), ## countfiles=path(colData(genehits)[,1]), stringsAsFactors=TRUE) ## ## geneCDS <- newCountDataSet( ## countData=assays(genehits)$counts, ## conditions=design) ## ## experimentData(geneCDS) <- expdata ## sampleNames(geneCDS) = colnames(genehits) ################################################### ### code chunk number 16: pasilla_genes (eval = FALSE) ################################################### ## chr4tx <- split(gff, mcols(gff)$transcript_id) ## txhits <- summarizeOverlaps(chr4tx, bamlst) ## txCDS <- newCountDataSet(assays(txhits)$counts, design) ## experimentData(txCDS) <- expdata GenomicRanges/inst/doc/summarizeOverlaps.Rnw0000644000126300012640000003164012227070337022627 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{Counting reads with summarizeOverlaps} %\VignetteDepends{} %\VignetteKeywords{sequence, sequencing, alignments} %\VignettePackage{GenomicRanges} \documentclass{article} <>= BiocStyle::latex() @ \title{Counting reads with \Rfunction{summarizeOverlaps}} \author{Valerie Obenchain} \date{Edited: October 2013; Compiled: \today} \begin{document} \maketitle \tableofcontents <>= options(width=72) options("showHeadLines" = 3) options("showTailLines" = 3) @ \section{Introduction} This vignette illustrates how reads mapped to a genome can be counted with \Rfunction{summarizeOverlaps}. Different "modes" of counting are provided to resolve reads that overlap multiple features. The built-in count modes are fashioned after the "Union", "IntersectionStrict", and "IntersectionNotEmpty" methods found in the HTSeq package by Simon Anders (see references). \section{A First Example} In this example reads are counted from a list of BAM files and returned in a \Robject{matrix} for use in further analysis such as those offered in \Biocpkg{DESeq} and \Biocpkg{edgeR}. <>= library(Rsamtools) library(DESeq) library(edgeR) fls <- list.files(system.file("extdata",package="GenomicRanges"), recursive=TRUE, pattern="*bam$", full=TRUE) bfl <- BamFileList(fls, index=character()) features <- GRanges( seqnames = c(rep("chr2L", 4), rep("chr2R", 5), rep("chr3L", 2)), ranges = IRanges(c(1000, 3000, 4000, 7000, 2000, 3000, 3600, 4000, 7500, 5000, 5400), width=c(rep(500, 3), 600, 900, 500, 300, 900, 300, 500, 500)), "-", group_id=c(rep("A", 4), rep("B", 5), rep("C", 2))) olap <- summarizeOverlaps(features, bfl) deseq <- newCountDataSet(assays(olap)$counts, rownames(colData(olap))) edger <- DGEList(assays(olap)$counts, group=rownames(colData(olap))) @ \section{Counting Modes} The modes of "Union", "IntersectionStrict" and "IntersectionNotEmpty" provide different approaches to resolving reads that overlap multiple features. Figure~\ref{fig-summarizeOverlaps-modes} illustrates how both simple and gapped reads are handled by the modes. Note that a read is counted a maximum of once; there is no double counting. These methods do not currently handle paired-end reads. For additional detail on the counting modes see the \Rfunction{summarizeOverlaps} man page. \begin{figure}[!h] \begin{center} \includegraphics{summarizeOverlaps-modes.pdf} \caption{Counting Modes} \label{fig-summarizeOverlaps-modes} \end{center} \end{figure} \newpage \section{Counting Features} Features can be exons, transcripts, genes or any region of interest. The number of ranges that define a single feature is specified in the \Rcode{features} argument. When annotation regions of interest are defined by a single range a \Rclass{GRanges} should be used as the \Rcode{features} argument. With a \Rclass{GRanges} it is assumed that each row (i.e., each range) represents a distinct feature. If \Rcode{features} was a \Rclass{GRanges} of exons, the result would be counts per exon. When the region of interest is defined by one or more ranges the \Rcode{features} argument should be a \Rclass{GRangesList}. In practice this could be a list of exons by gene or transcripts by gene or other similar relationships. The count result will be the same length as the \Rclass{GRangesList}. For a list of exons by genes, the result would be counts per gene. The combination of defining the features as either\Rclass{GRanges} or \Rclass{GRangesList} and choosing a counting mode controls how \Rfunction{summarizeOverlaps} assigns hits. Reguardless of the mode chosen, each read is assigned to at most a single feature. These options are intended to provide flexibility in defining different biological problems. This next example demonstrates how the same read can be counted differently depending on how the \Rcode{features} argument is specified. We use a single read that overlaps two ranges, gr1 and gr2. <>= rd <- GAlignments("a", seqnames = Rle("chr1"), pos = as.integer(100), cigar = "300M", strand = strand("+")) gr1 <- GRanges("chr1", IRanges(start=50, width=150), strand="+") gr2 <- GRanges("chr1", IRanges(start=350, width=150), strand="+") @ \noindent When provided as a \Rclass{GRanges} both gr1 and gr2 are considered distinct features. In this case none of the modes count the read as a hit. Mode \Rcode{Union} discards the read becasue more than 1 feature is overlapped. \Rcode{IntersectionStrict} requires the read to fall completely within a feature which is not the case for either gr1 or gr2. \Rcode{IntersetctionNotEmpty} requires the read to overlap a single unique disjoint region of the \Rcode{features}. In this case gr1 and gr2 do not overlap so each range is considered a unique disjoint region. However, the read overlaps both gr1 and gr2 so a decision cannot be made and the read is discarded. <>= gr <- c(gr1, gr2) data.frame(union = assays(summarizeOverlaps(gr, rd))$counts, intStrict = assays(summarizeOverlaps(gr, rd, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(gr, rd, mode="IntersectionNotEmpty"))$counts) @ \noindent Next we count with \Rcode{features} as a \Rclass{GRangesList}; this is list of length 1 with 2 elements. Modes \Rcode{Union} and \Rcode{IntersectionNotEmpty} both count the read for the single feature. <>= grl <- GRangesList(c(gr1, gr2)) data.frame(union = assays(summarizeOverlaps(grl, rd))$counts, intStrict = assays(summarizeOverlaps(grl, rd, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(grl, rd, mode="IntersectionNotEmpty"))$counts) @ \newpage In this more complicated example we have 7 reads, 5 are simple and 2 have gaps in the CIGAR. There are 12 ranges that will serve as the \Robject{features}. <>= group_id <- c("A", "B", "C", "C", "D", "D", "E", "F", "G", "G", "H", "H") features <- GRanges( seqnames = Rle(c("chr1", "chr2", "chr1", "chr1", "chr2", "chr2", "chr1", "chr1", "chr2", "chr2", "chr1", "chr1")), strand = strand(rep("+", length(group_id))), ranges = IRanges( start=c(1000, 2000, 3000, 3600, 7000, 7500, 4000, 4000, 3000, 3350, 5000, 5400), width=c(500, 900, 500, 300, 600, 300, 500, 900, 150, 200, 500, 500)), DataFrame(group_id) ) reads <- GAlignments( names = c("a","b","c","d","e","f","g"), seqnames = Rle(c(rep(c("chr1", "chr2"), 3), "chr1")), pos = as.integer(c(1400, 2700, 3400, 7100, 4000, 3100, 5200)), cigar = c("500M", "100M", "300M", "500M", "300M", "50M200N50M", "50M150N50M"), strand = strand(rep.int("+", 7L))) @ \noindent Using a \Rclass{GRanges} as the \Rcode{features} all 12 ranges are considered to be different features and counts are produced for each row, <>= data.frame(union = assays(summarizeOverlaps(features, reads))$counts, intStrict = assays(summarizeOverlaps(features, reads, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(features, reads, mode="IntersectionNotEmpty"))$counts) @ \noindent When the data are split by group to create a \Rclass{GRangesList} the highest list-levels are treated as different features and the multiple list elements are considered part of the same features. Counts are returned for each group. <>= lst <- split(features, mcols(features)[["group_id"]]) length(lst) @ <>= data.frame(union = assays(summarizeOverlaps(lst, reads))$counts, intStrict = assays(summarizeOverlaps(lst, reads, mode="IntersectionStrict"))$counts, intNotEmpty = assays(summarizeOverlaps(lst, reads, mode="IntersectionNotEmpty"))$counts) @ If desired, users can supply their own counting function as the \Rcode{mode} argument and take advantage of the infrastructure for counting over multiple BAM files and parsing the results into a \Rclass{SummarizedExperiment}. See \Rcode{?'BamViews-class' or ?'BamFile-class'} in \Biocpkg{Rsamtools}. \section{\Rcode{pasilla} Data} In this excercise we count the \Biocpkg{pasilla} data by gene and by transcript then create a \Rclass{CountDataSet}. This object can be used in differential expression methods offered in the \Biocpkg{DESeq} package. \subsection{source files} Files are available through NCBI Gene Expression Omnibus (GEO), accession number GSE18508. \url{http://www.ncbi.nlm.nih.gov/projects/geo/query/acc.cgi?acc=GSE18508}. SAM files can be converted to BAM with the \Rfunction{asBam} function in the \Biocpkg{Rsamtools} package. Of the seven files available, 3 are single-reads and 4 are paired-end. Smaller versions of untreated1 (single-end) and untreated2 (paired-end) have been made available in the \Biocpkg{pasillaBamSubset} package. This subset includes chromosome 4 only. \Rfunction{summarizeOverlaps} is capable of counting paired-end reads in both a \Rcode{BamFile}-method (set argument \Rcode{singleEnd=TRUE}) or a \Rcode{GAlignmentPairs}-method. For this example, we use the 3 single-end read files, \begin{itemize} \item treated1.bam \item untreated1.bam \item untreated2.bam \end{itemize} Annotations are retrieved as a GTF file from the ENSEMBL web site. We download the file our local disk, then use \Biocpkg{Rtracklayer}'s \Rfunction{import} function to parse the file to a \Rclass{GRanges} instance. <>= library(rtracklayer) fl <- paste0("ftp://ftp.ensembl.org/pub/release-62/", "gtf/drosophila_melanogaster/", "Drosophila_melanogaster.BDGP5.25.62.gtf.gz") gffFile <- file.path(tempdir(), basename(fl)) download.file(fl, gffFile) gff0 <- import(gffFile, asRangedData=FALSE) @ Subset on the protein-coding, exon regions of chromosome 4 and split by gene id. <>= idx <- mcols(gff0)$source == "protein_coding" & mcols(gff0)$type == "exon" & seqnames(gff0) == "4" gff <- gff0[idx] ## adjust seqnames to match Bam files seqlevels(gff) <- paste("chr", seqlevels(gff), sep="") chr4genes <- split(gff, mcols(gff)$gene_id) @ \subsection{counting} The \Rcode{params} argument can be used to subset the reads in the bam file on characteristics such as position, unmapped or paired-end reads. Quality scores or the "NH" tag, which identifies reads with multiple mappings, can be included as metadata columns for further subsetting. See \Rcode{?ScanBamParam} for details about specifying the \Rcode{param} argument. <>= param <- ScanBamParam( what='qual', which=GRanges("chr4", IRanges(1, 1e6)), flag=scanBamFlag(isUnmappedQuery=FALSE, isPaired=NA), tag="NH") @ We use \Rfunction{summarizeOverlaps} to count with the default mode of "Union". If a \Rcode{param} argument is not included all reads from the BAM file are counted. <>= fls <- c("treated1.bam", "untreated1.bam", "untreated2.bam") path <- "pathToBAMFiles" bamlst <- BamFileList(fls, index=character()) genehits <- summarizeOverlaps(chr4genes, bamlst, mode="Union") @ \noindent A \Rcode{CountDataSet} is constructed from the counts and experiment data in \Rclass{pasilla}. <>= expdata = new("MIAME", name="pasilla knockdown", lab="Genetics and Developmental Biology, University of Connecticut Health Center", contact="Dr. Brenton Graveley", title="modENCODE Drosophila pasilla RNA Binding Protein RNAi knockdown RNA-Seq Studies", url="http://www.ncbi.nlm.nih.gov/projects/geo/query/acc.cgi?acc=GSE18508", abstract="RNA-seq of 3 biological replicates of from the Drosophila melanogaster S2-DRSC cells that have been RNAi depleted of mRNAs encoding pasilla, a mRNA binding protein and 4 biological replicates of the the untreated cell line.") pubMedIds(expdata) <- "20921232" design <- data.frame( condition=c("treated", "untreated", "untreated"), replicate=c(1,1,2), type=rep("single-read", 3), countfiles=path(colData(genehits)[,1]), stringsAsFactors=TRUE) geneCDS <- newCountDataSet( countData=assays(genehits)$counts, conditions=design) experimentData(geneCDS) <- expdata sampleNames(geneCDS) = colnames(genehits) @ If the primary interest is to count by transcript instead of by gene, the annotation file can be split on transcript id. <>= chr4tx <- split(gff, mcols(gff)$transcript_id) txhits <- summarizeOverlaps(chr4tx, bamlst) txCDS <- newCountDataSet(assays(txhits)$counts, design) experimentData(txCDS) <- expdata @ \section{References} \url{http://www-huber.embl.de/users/anders/HTSeq/doc/overview.html} \noindent\url{http://www-huber.embl.de/users/anders/HTSeq/doc/count.html} \end{document} GenomicRanges/inst/doc/summarizeOverlaps.pdf0000644000126300012640000054003612233632025022631 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> 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checkTrue(validObject(GAlignments())) checkTrue(validObject(GAlignments(seqnames=factor("A"), pos=1L, cigar="1M", strand=strand("-")))) } test_GAlignments_concat <- function() { galn <- GAlignments(seqnames=factor("A"), pos=1L, cigar="1M", strand=strand("-")) galn_c <- GAlignments(seqnames=rep(factor("A"), 2), pos=rep(1L, 2), cigar=rep("1M", 2), strand=rep(strand("-"), 2)) checkIdentical(galn_c, c(galn, galn)) } test_GAlignments_qnarrow <- function() { gal <- GAlignments(seqnames=rep(factor("A"), 8), pos=10:17, cigar=c("5M", "5X", "3M2I3M", "3M2D3M", "3M2N3M", "3M2S3M", "3M2H3M", "3M2P3M"), strand=Rle(strand(rep("+", 8)))) n1 <- narrow(gal, start=3) q1 <- qnarrow(gal, start=3) checkIdentical(qwidth(n1), qwidth(q1)) checkIdentical(width(n1), width(q1)) n2 <- narrow(gal, start=4) q2 <- qnarrow(gal, start=4) checkIdentical(width(n2), width(q2)) ## M and X checkIdentical(qwidth(n2[1:2]), qwidth(q2[1:2])) ## I checkIdentical(qwidth(q2[3]), width(q2[3]) + 2L) ## D, N and P checkIdentical(qwidth(q2[c(4,5,8)]), width(q2[c(4,5,8)])) ## S and H checkIdentical(qwidth(q2[6]), width(q2[6]) + 2L) checkIdentical(qwidth(q2[7]), width(q2[7])) } GenomicRanges/inst/unitTests/test_GAlignmentsList-class.R0000644000126300012640000001107512227070336025174 0ustar00biocbuildphs_compbio.noGaps <- GAlignments( Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), pos=1:10, cigar=paste0(10:1, "M"), strand=Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), names=head(letters, 10), score=1:10) .Gaps <- GAlignments( Rle(factor(c("chr2", "chr4")), c(3, 4)), pos=1:7, cigar=c("5M", "3M2N3M2N3M", "5M", "10M", "5M1N4M", "8M2N1M", "5M"), strand=Rle(strand(c("-", "+")), c(4, 3)), names=tail(letters, 7), score=1:7) GAList <- GAlignmentsList(a=.noGaps, b=.Gaps) quiet <- suppressWarnings test_GAlignmentsList_construction <- function() { checkTrue(validObject(GAlignmentsList())) checkTrue(validObject(new("GAlignmentsList"))) checkTrue(validObject(GAlignmentsList(.noGaps, .Gaps))) checkTrue(validObject(GAlignmentsList(GAlignments()))) checkTrue(validObject(GAlignmentsList(a=GAlignments()))) checkException(GAlignmentsList(GRanges()), silent = TRUE) } test_GAlignmentsList_coercion <- function() { galist <- GAlignmentsList(a=.noGaps[seqnames(.noGaps) == "chr3"], b=.Gaps[seqnames(.Gaps) == "chr4"]) ## Lists rgl <- rglist(galist) grl <- grglist(galist) checkIdentical(length(rgl), length(galist)) checkIdentical(length(grl), length(galist)) checkIdentical(elementLengths(rgl), elementLengths(grl)) checkIdentical(elementLengths(rgl)[1], elementLengths(galist)[1]) checkIdentical(elementLengths(grl)[1], elementLengths(galist)[1]) ## Ranges checkIdentical(length(ranges(galist)), length(ranges(galist[1])) + length(ranges(galist[2]))) checkIdentical(length(quiet(granges(galist))), length(quiet(granges(galist[1]))) + length(quiet(granges(galist[2])))) checkIdentical(length(granges(galist, ignore.strand=TRUE)), length(granges(galist[1], ignore.strand=TRUE)) + length(granges(galist[2], ignore.strand=TRUE))) gr <- granges(galist, ignore.strand=TRUE) ir <- ranges(galist) checkIdentical(length(gr), length(ir)) gr <- quiet(granges(galist, ignore.strand=FALSE)) checkTrue(length(gr) == 4L) ## data.frame df <- data.frame(element=rep(c("a", "b"), each=2), seqnames=c("chr1", rep("chr2", 3)), strand=c("-", "+", "-", "-"), cigar=c("10M", "9M", "5M", "3M2N3M2N3M"), qwidth=c(10, 9 , 5, 9), start=c(1, 2, 1, 2), end=c(10, 10, 5, 14), width=c(10, 9, 5, 13), ngap=c(0, 0, 0, 2), score=c(1, 2, 1, 2), row.names=c("a", "b", "t", "u"), stringsAsFactors=FALSE) galist <- GAlignmentsList(a=.noGaps[1:2], b=.Gaps[1:2]) checkTrue(all.equal(as.data.frame(galist), df)) ## introns galist <- GAList grl <- introns(galist) checkIdentical(names(galist), names(grl)) checkTrue(length(galist) == length(grl)) checkTrue(length(grl[[1]]) == 0L) checkTrue(length(grl[[2]]) == 4L) } test_GAlignmentsList_accessors <- function() { galist <- GAlignmentsList(.noGaps, .Gaps) target <- RleList(lapply(GAList, seqnames), compress=TRUE) checkIdentical(seqnames(GAList), target) target <- RleList(lapply(GAList, rname), compress=TRUE) checkIdentical(rname(GAList), target) target <- CharacterList(lapply(GAList, cigar), compress=TRUE) checkIdentical(cigar(GAList), target) target <- RleList(lapply(GAList, strand), compress=TRUE) checkIdentical(strand(GAList), target) target <- IntegerList(lapply(GAList, width)) checkIdentical(width(GAList), target) target <- SplitDataFrameList(lapply(GAList, mcols)) checkIdentical(mcols(GAList, level="within"), target) } test_GAlignments_subset_combine <- function() { galist <- GAList score <- 1:length(togroup(galist)) meta <- DataFrame(score=score, more=score+10) mcols(galist@unlistData) <- meta ## 'c' checkIdentical(GAlignmentsList(), c(GAlignmentsList(), GAlignmentsList())) checkIdentical(GAlignmentsList(.noGaps, .Gaps), quiet(c(GAlignmentsList(.noGaps), GAlignmentsList(.Gaps)))) ## '[' checkIdentical(galist, galist[]) checkIdentical(galist, galist[Rle(TRUE)]) checkIdentical(galist[c(TRUE, FALSE),], galist[1]) } test_GAlignments_qnarrow <- function() { galist <- GAlignmentsList(.noGaps[1:6], .Gaps) qn <- qnarrow(galist, end=-4) checkIdentical(qnarrow(galist[[1]], end=-4), qn[[1]]) checkIdentical(qnarrow(galist[[2]], end=-4), qn[[2]]) } GenomicRanges/inst/unitTests/test_GIntervalTree-class.R0000644000126300012640000000654312227070336024647 0ustar00biocbuildphs_compbiomake_gr <- function() { seqinfo <- Seqinfo(paste0("chr", 1:3), c(1000, 2000, 1500), NA, "mock1") GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges( 1:10, width = 10:1, names = head(letters,10)), strand = Rle( strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10), seqinfo=seqinfo) } test_GIntervalTree_fully_specified_coercion <- function() { gr=make_gr() git=as(gr,"GIntervalTree") checkIdentical(seqinfo(git), seqinfo(gr)) checkIdentical(seqnames(git), seqnames(gr)) checkIdentical(strand(git), strand(gr)) } test_GIntervalTree_fully_specified_constructor <- function() { gr=make_gr() git <- GIntervalTree(gr) checkIdentical(seqinfo(git), seqinfo(gr)) checkIdentical(seqnames(git), seqnames(gr)) checkIdentical(strand(git), strand(gr)) } test_GIntervalTree_partial_coercion <- function() { gr <- GRanges(seqnames=rep(c("chr1","chr2"),len=10), ranges=IRanges(start=1:10, width=100)) git=as(gr,"GIntervalTree") checkIdentical(seqinfo(git), seqinfo(gr)) checkIdentical(seqnames(git), seqnames(gr)) checkIdentical(strand(git), strand(gr)) } test_GIntervalTree_conversion_to_GRanges <- function () { gr <- GRanges(seqnames=rep(c("chr1","chr2"),len=10), ranges=IRanges(start=1:10, width=100), strand=rep(c("+","-"), len=10), a=letters[1:10]) gr2 <- as(as(gr,"GIntervalTree"), "GRanges") checkIdentical(gr,gr2) } test_GIntervalTree_subsetting <- function () { gr <- GRanges(seqnames=rep(c("chr1","chr2"),len=10), ranges=IRanges(start=1:10, width=100), strand=rep(c("+","-"), len=10), a=letters[1:10]) git=as(gr,"GIntervalTree") gr <- gr[4:7,] git <- git[4:7,] checkIdentical(seqinfo(git), seqinfo(gr)) checkIdentical(seqnames(git), seqnames(gr)) checkIdentical(strand(git), strand(gr)) } test_GIntervalTree_findOverlaps <- function() { subject <- GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters,10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10)) query <- GRanges(seqnames = "chr2", ranges = IRanges(4:3, 6), strand = "+", score = 5:4, GC = 0.45) stree <- GIntervalTree(subject) olaps2=findOverlaps(query, subject) olaps1=findOverlaps(query, stree) checkIdentical(olaps1, olaps2) } test_GIntervalTree_subsetByOverlaps <- function() { subject <- GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters,10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10)) query <- GRanges(seqnames = "chr2", ranges = IRanges(4:3, 6), strand = "+", score = 5:4, GC = 0.45) stree <- as(subject,"GIntervalTree") olaps2 <- subsetByOverlaps(query, subject) olaps1 <- subsetByOverlaps(query, stree) checkIdentical(olaps1,olaps2) } GenomicRanges/inst/unitTests/test_GIntervalTree_findOverlaps.R0000644000126300012640000004321312232576336026262 0ustar00biocbuildphs_compbiomake_subject <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1), strand = Rle(strand(c("-", "+", "+", "-", "-", "-")), c(1, 2, 1, 1, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } make_query <- function() { GRangesList(nomatch = GRanges(seqnames = "chr1", ranges = IRanges(start=5, end=10), strand = "+"), onematch = GRanges(seqnames = "chr3", ranges = IRanges(start=2, end=7), strand = "-"), twomatch = GRanges(seqnames = "chr1", ranges = IRanges(start=1, end=5), strand = "-")) } test_findOverlaps_no_overlaps_returns_empty_matches <- function() { query <- make_query() subject <- make_subject() ranges(subject) <- shift(ranges(subject), 1000L) subject <- GIntervalTree(subject) ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(structure(c(0L, 0L, 0L), names=c("nomatch", "onematch", "twomatch")), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query[integer(0)], ans) } ## select = "first" expect <- rep(NA_integer_, length(query)) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_empty_query <- function() { query <- new("GRangesList") subject <- GIntervalTree(make_subject()) ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 0L, subjectLength = 10L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(integer(0), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query, ans) } ## select = "first" expect <- integer() for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_empty_subject <- function() { query <- make_query() subject <- GIntervalTree(new("GRanges")) ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 0L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(structure(c(0L, 0L, 0L), names=c("nomatch", "onematch", "twomatch")), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query[integer(0)], ans) } ## select = "first" expect <- rep(NA_integer_, length(query)) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_zero_one_two_matches <- function() { query <- make_query() subject <- GIntervalTree(make_subject()) ## select = "all" expectAny <- new("Hits", queryHits = c(2L, 3L, 3L), subjectHits = c(7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, select = "all", type = "any") ansStart <- findOverlaps(query, subject, select = "all", type = "start") ansEnd <- findOverlaps(query, subject, select = "all", type = "end") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) ## select = "first" expectAny <- c(NA_integer_, 7L, 1L) expectStart <- c(NA_integer_, NA_integer_, 1L) expectEnd <- c(NA_integer_, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } test_findOverlaps_multimatch_within_one_query <- function() { query <- make_query() query[[3L]] <- c(query[[3L]], query[[3L]]) subject <- GIntervalTree(make_subject()) ## select = "all" expectAny <- new("Hits", queryHits = c(2L, 3L, 3L), subjectHits = c(7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, select = "all", type = "any") ansStart <- findOverlaps(query, subject, select = "all", type = "start") ansEnd <- findOverlaps(query, subject, select = "all", type = "end") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) ## select = "first" expectAny <- c(NA_integer_, 7L, 1L) expectStart <- c(NA_integer_, NA_integer_, 1L) expectEnd <- c(NA_integer_, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } test_findOverlaps_either_strand <- function() { query <- make_query() subject <- GIntervalTree(make_subject()) query@unlistData@strand <- Rle(strand(c("*", "*", "-"))) ## select = "all" expectAny <- new("Hits", queryHits = c(1L, 1L, 1L, 2L, 3L, 3L), subjectHits = c(1L, 5L, 6L, 7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = c(1L, 3L), subjectHits = c(5L, 1L), queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = c(1L, 1L, 1L), subjectHits = c(1L, 5L, 6L), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, type = "any", select = "all") ansStart <- findOverlaps(query, subject, type = "start", select = "all") ansEnd <- findOverlaps(query, subject, type = "end", select = "all") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) # select = "first" expectAny <- c(1L, 7L, 1L) expectStart <- c(5L, NA_integer_, 1L) expectEnd <- c(1L, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } # this needs GIntervalTreeList? # test_findOverlaps_minoverlap_GRanges_GRangesList <- function() { # DEACTIVATED() # query <- make_subject() # subject <- make_query() # current <- findOverlaps(query, subject, minoverlap = 5) # target <- new("Hits", # queryHits = 1L, subjectHits = 3L, # queryLength = 10L, subjectLength = 3L) # checkIdentical(target, current) # current <- findOverlaps(query, subject, minoverlap = 6) # target <- new("Hits", # queryHits = integer(0), subjectHits = integer(0), # queryLength = 10L, subjectLength = 3L) # checkIdentical(target, current) # } test_findOverlaps_minoverlap_GRangesList_GRanges <- function() { subject <- GIntervalTree(make_subject()) query <- make_query() current <- findOverlaps(query, subject, minoverlap = 5) target <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) checkIdentical(target, current) current <- findOverlaps(query, subject, minoverlap = 6) target <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) checkIdentical(target, current) } test_findOverlaps_seqlevelIssues <- function() { gr=GRanges(seqnames=c("chr1","chr2"),ranges=IRanges(1:2,width=1)) gtree=GIntervalTree(gr) olaps1=findOverlaps(gr,gr[1]) olaps2=findOverlaps(gr,gtree[1]) checkIdentical(olaps1, olaps2) gr1 = GRanges(seqnames = c("chr1", "chr2"), ranges = IRanges(1:2, width = 1)) gr2 = gr1 seqlevels(gr2, force = TRUE) = c("chr2", "chr1") olaps1=findOverlaps(gr1,gr2) olaps2=findOverlaps(gr1,GIntervalTree(gr2)) checkIdentical(olaps1,olaps2) } # this needs GIntervalTreeList? # test_findOverlaps_minoverlap_GrangesList_GRangesList <- function() { # query <- make_query() # subject <- GRangesList("g1" = make_subject()) # current <- findOverlaps(query, subject, minoverlap = 1) # target <- new("Hits", # queryHits = c(2L, 3L), subjectHits = c(1L, 1L), # queryLength = 3L, subjectLength = 1L) # checkIdentical(target, current) # query <- make_query() # subject <- GRangesList("g1" = make_subject()) # current <- findOverlaps(query, subject, minoverlap = 6) # target <- new("Hits", # queryHits = 3L, subjectHits = 1L, # queryLength = 3L, subjectLength = 1L) # checkIdentical(target, current) # query <- make_query() # subject <- GRangesList("g1" = make_subject()) # current <- findOverlaps(query, subject, minoverlap = 7) # target <- new("Hits", # queryHits = integer(0), subjectHits = integer(0), # queryLength = 3L, subjectLength = 1L) # checkIdentical(target, current) # current <- findOverlaps(subject, query, minoverlap = 6) # target <- new("Hits", # queryHits = 1L, subjectHits = 3L, # queryLength = 1L, subjectLength = 3L) # checkIdentical(target, current) # } # this should raise an error test_findOverlaps_with_circular_sequences <- function() { gr <- GIntervalTree(GRanges(seqnames=rep.int("A", 4), ranges=IRanges(start=c(2, 4, 6, 8), width=3))) ## With A of length 9 --> no overlap between last and first ranges. gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=9, isCircular=TRUE) checkException(current0 <- findOverlaps(gr, gr)) # matchMatrix0 <- matrix( # c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, # 1L, 2L, 1L, 2L, 3L, 2L, 3L, 4L, 3L, 4L), # ncol = 2, # dimnames = list(NULL, c("queryHits", "subjectHits"))) # target0 <- new("Hits", # queryHits = unname(matchMatrix0[ , 1L]), # subjectHits = unname(matchMatrix0[ , 2L]), # queryLength = 4L, subjectLength = 4L) # checkIdentical(target0, current0) # ## With A of length 8 --> last and first ranges do overlap. # gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=8, isCircular=TRUE) # current1 <- findOverlaps(gr, gr) # matchMatrix1 <- rbind(matchMatrix0, matrix(c(1L, 4L, 4L, 1L), ncol = 2)) # o1 <- IRanges:::orderIntegerPairs(matchMatrix1[ , 1L], # matchMatrix1[ , 2L]) # matchMatrix1 <- matchMatrix1[o1, ] # target1 <- new("Hits", # queryHits = unname(matchMatrix1[ , 1L]), # subjectHits = unname(matchMatrix1[ , 2L]), # queryLength = 4L, subjectLength = 4L) # checkIdentical(target1, current1) # ## With A of length 8 and minoverlap=2 --> no overlap between last # ## and first ranges. # current2 <- findOverlaps(gr, gr, minoverlap=2) # matchMatrix2 <- matrix(c(1:4, 1:4), ncol = 2, # dimnames = list(NULL, c("queryHits", "subjectHits"))) # target2 <- new("Hits", # queryHits = unname(matchMatrix2[ , 1L]), # subjectHits = unname(matchMatrix2[ , 2L]), # queryLength = 4L, subjectLength = 4L) # checkIdentical(target2, current2) # ## With A of length 7 and minoverlap=2 --> last and first ranges # ## do overlap. # gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=7, isCircular=TRUE) # current3 <- findOverlaps(gr, gr, minoverlap=2) # matchMatrix3 <- rbind(matchMatrix2, matrix(c(1L, 4L, 4L, 1L), ncol = 2)) # o3 <- IRanges:::orderIntegerPairs(matchMatrix3[ , 1L], # matchMatrix3[ , 2L]) # matchMatrix3 <- matchMatrix3[o3, ] # target3 <- new("Hits", # queryHits = unname(matchMatrix3[ , 1L]), # subjectHits = unname(matchMatrix3[ , 2L]), # queryLength = 4L, subjectLength = 4L) # checkIdentical(target3, current3) } GenomicRanges/inst/unitTests/test_GRanges-class.R0000644000126300012640000004057512227070336023465 0ustar00biocbuildphs_compbio### .TARGET_names <- letters[1:10] .TARGET_seqlevels <- c("chr1", "chr2", "chr3", "chrX") .TARGET_seqnames <- Rle(factor(c("chr1", "chr2", "chr1", "chr3"), levels=.TARGET_seqlevels), c(1, 3, 2, 4)) .TARGET_start <- 1:10 .TARGET_end <- rep(10L, 10) .TARGET_ranges <- IRanges(.TARGET_start, .TARGET_end, names=.TARGET_names) .TARGET_strand <- Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)) .TARGET_mcols <- DataFrame(score=1:10, GC=seq(1, 0, length=10)) .TARGET_seqlengths <- c(120L, NA, 80L, 50L) names(.TARGET_seqlengths) <- .TARGET_seqlevels .TARGET_seqinfo <- Seqinfo(seqnames=.TARGET_seqlevels, seqlengths=.TARGET_seqlengths) .make_TARGET_GRanges <- function() { new("GRanges", seqnames=.TARGET_seqnames, ranges=.TARGET_ranges, strand= .TARGET_strand, elementMetadata=.TARGET_mcols, seqinfo=.TARGET_seqinfo) } test_GRanges_construction <- function() { checkException(GRanges(letters), silent = TRUE) checkException(GRanges(ranges = IRanges(1:10, 1:10)), silent = TRUE) checkException(GRanges(letters, IRanges(1:10, 1:10)), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), strand = letters), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), score = 1:10), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), start = 1:26), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), end = 1:26), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), width = 1:26), silent = TRUE) checkException(GRanges(letters, IRanges(1:26, 1:26), element = letters), silent = TRUE) checkException(GRanges(c(letters, NA), IRanges(1:27, 1:27)), silent = TRUE) checkTrue(validObject(new("GRanges"))) checkTrue(validObject(GRanges())) checkTrue(validObject(GRanges(letters, IRanges(1:26, 1:26)))) checkTrue(validObject(GRanges(letters, IRanges(1:26, 1:26), score = 1:26))) checkTrue(validObject(GRanges(factor(letters), IRanges(1:26, 1:26)))) checkTrue(validObject(GRanges(1:10, IRanges(1:10, 1:10)))) current_seqnames <- IRanges:::decodeRle(.TARGET_seqnames) current_strand <- Rle(c("-", "+", "*", "+", "-"), c(1, 2, 2, 3, 2)) current <- GRanges(seqnames=current_seqnames, ranges=.TARGET_ranges, strand=current_strand, seqlengths=.TARGET_seqlengths, score=1:10, GC=seq(1, 0, length=10)) checkIdentical(.make_TARGET_GRanges(), current) ## Call with unnamed 'seqnames', 'ranges', and 'strand' args. current <- GRanges(current_seqnames, .TARGET_ranges, current_strand, seqlengths=.TARGET_seqlengths, score=1:10, GC=seq(1, 0, length=10)) checkIdentical(.make_TARGET_GRanges(), current) ## Call with unnamed metadata cols. score <- 1:10 GC <- seq(1, 0, length=10) current <- GRanges(.TARGET_seqnames, .TARGET_ranges, .TARGET_strand, seqlengths=.TARGET_seqlengths, score, GC) checkIdentical(.make_TARGET_GRanges(), current) ## Call with 'c' metadata col. current <- GRanges(seqnames=.TARGET_seqnames, ranges=.TARGET_ranges, strand=.TARGET_strand, c=LETTERS[1:10]) checkIdentical(DataFrame(c=LETTERS[1:10]), mcols(current)) seqinfo <- Seqinfo(letters, rep(1000L, length(letters))) checkIdentical(seqinfo(GRanges(seqinfo=seqinfo)), seqinfo) checkIdentical(seqinfo(GRanges(seqlengths = seqlengths(seqinfo))), seqinfo) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Accessors. ### test_GRanges_length <- function() { checkIdentical(length(.TARGET_ranges), length(.make_TARGET_GRanges())) } test_GRanges_names <- function() { ## names() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(NULL, names(gr0)) checkIdentical(.TARGET_names, names(gr1)) ## names() setter names(gr0) <- names(gr0) # no-op checkIdentical(GRanges(), gr0) names(gr1) <- names(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(names(gr1) <- letters, silent = TRUE) names(gr1) <- NULL checkIdentical(NULL, names(gr1)) } test_GRanges_seqnames <- function() { ## seqnames() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(Rle(factor()), seqnames(gr0)) checkIdentical(.TARGET_seqnames, seqnames(gr1)) ## seqnames() setter seqnames(gr0) <- seqnames(gr0) # no-op checkIdentical(GRanges(), gr0) seqnames(gr1) <- seqnames(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(seqnames(gr0) <- NULL, silent=TRUE) checkException(seqnames(gr1) <- NULL, silent=TRUE) checkException(seqnames(gr1) <- letters, silent=TRUE) } test_GRanges_ranges <- function() { ## ranges() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(IRanges(), ranges(gr0)) checkIdentical(.TARGET_ranges, ranges(gr1)) ## ranges() setter ranges(gr0) <- ranges(gr0) # no-op checkIdentical(GRanges(), gr0) ranges(gr1) <- ranges(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(ranges(gr0) <- NULL, silent=TRUE) checkException(ranges(gr1) <- NULL, silent=TRUE) checkException(ranges(gr1) <- IRanges(1:26, 1:26), silent=TRUE) val <- IRanges(1:length(gr1), width=10) ranges(gr1) <- val checkIdentical(ranges(gr1), val) } test_GRanges_start <- function() { ## start() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(integer(), start(gr0)) checkIdentical(.TARGET_start, start(gr1)) ## start() setter start(gr0) <- start(gr0) # no-op checkIdentical(GRanges(), gr0) start(gr1) <- start(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) #checkException(start(gr0) <- NULL, silent=TRUE) this actually works! checkException(suppressWarnings(start(gr1) <- letters), silent=TRUE) #checkException(start(gr1) <- 1:26, silent=TRUE) this actually works! start(gr1) <- as.numeric(seq_len(length(gr1))) checkIdentical(seq_len(length(gr1)), start(gr1)) } test_GRanges_end <- function() { ## end() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(integer(), end(gr0)) checkIdentical(.TARGET_end, end(gr1)) ## end() setter end(gr0) <- end(gr0) # no-op checkIdentical(GRanges(), gr0) end(gr1) <- end(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) #checkException(end(gr0) <- NULL, silent=TRUE) this actually works! checkException(suppressWarnings(end(gr1) <- letters), silent=TRUE) #checkException(end(gr1) <- 1:26, silent=TRUE) this actually works! end(gr1) <- as.numeric(10L + seq_len(length(gr1))) checkIdentical(10L + seq_len(length(gr1)), end(gr1)) } test_GRanges_width <- function() { ## width() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(integer(), width(gr0)) checkIdentical(.TARGET_end - .TARGET_start + 1L, width(gr1)) ## width() setter width(gr0) <- width(gr0) # no-op checkIdentical(GRanges(), gr0) width(gr1) <- width(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) #checkException(width(gr0) <- NULL, silent=TRUE) this actually works! checkException(suppressWarnings(width(gr1) <- letters), silent=TRUE) #checkException(width(gr1) <- 1:26, silent=TRUE) this actually works! width(gr1) <- as.numeric(10L + seq_len(length(gr1))) checkIdentical(10L + seq_len(length(gr1)), width(gr1)) } test_GRanges_strand <- function() { ## strand() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(Rle(strand()), strand(gr0)) checkIdentical(.TARGET_strand, strand(gr1)) ## strand() setter strand(gr0) <- strand(gr0) # no-op checkIdentical(GRanges(), gr0) strand(gr1) <- strand(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(strand(gr0) <- NULL, silent=TRUE) checkException(strand(gr1) <- NULL, silent=TRUE) checkException(strand(gr1) <- letters, silent=TRUE) val <- Rle(strand("+"), length(gr1)) strand(gr1) <- val checkIdentical(val, strand(gr1)) strand(gr1) <- "*" checkIdentical(Rle(strand("*"), length(gr1)), strand(gr1)) } test_GRanges_mcols <- function() { ## mcols() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(DataFrame(), mcols(gr0)) checkIdentical(.TARGET_mcols, mcols(gr1)) ## mcols() setter mcols(gr0) <- mcols(gr0) # no-op checkIdentical(GRanges(), gr0) mcols(gr1) <- mcols(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(mcols(gr1) <- DataFrame(strand=1:length(gr)), silent=TRUE) checkException(mcols(gr1) <- DataFrame(score=letters), silent=TRUE) mcols(gr1) <- NULL checkIdentical(new("DataFrame", nrows=length(gr1)), mcols(gr1)) val <- DataFrame(x=1:length(gr1), y = head(letters, length(gr1))) mcols(gr1) <- val checkTrue(validObject(gr1)) checkIdentical(val, mcols(gr1)) rownames(val) <- names(gr1) checkIdentical(val, mcols(gr1, use.names=TRUE)) mcols(gr1) <- val checkTrue(validObject(gr1)) checkIdentical(val, mcols(gr1, use.names=TRUE)) rownames(val) <- NULL checkIdentical(val, mcols(gr1)) } test_GRanges_seqlevels <- function() { ## seqlevels() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(character(), seqlevels(gr0)) checkIdentical(.TARGET_seqlevels, seqlevels(gr1)) ## seqlevels() setter seqlevels(gr0) <- seqlevels(gr0) # no-op checkIdentical(GRanges(), gr0) seqlevels(gr1) <- seqlevels(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) val <- seqlevels(gr1) val <- sub("^chr", "Chr", val) seqlevels(gr1) <- val checkIdentical(val, seqlevels(gr1)) } test_GRanges_seqlengths <- function() { ## seqlengths() getter gr0 <- GRanges() gr1 <- .make_TARGET_GRanges() checkIdentical(setNames(integer(), character()), seqlengths(gr0)) checkIdentical(.TARGET_seqlengths, seqlengths(gr1)) ## seqlengths() setter seqlengths(gr0) <- seqlengths(gr0) # no-op checkIdentical(GRanges(), gr0) seqlengths(gr1) <- seqlengths(gr1) # no-op checkIdentical(.make_TARGET_GRanges(), gr1) checkException(seqlengths(gr0) <- NULL, silent=TRUE) checkException(seqlengths(gr1) <- NULL, silent=TRUE) checkException(seqlengths(gr1) <- 1:10, silent=TRUE) val <- seqlengths(gr1) val[] <- c(10L, 20L, 30L, 10L) seqlengths(gr1) <- val checkIdentical(val, seqlengths(gr1)) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Coercion. ### test_GRanges_coercion <- function() { ## no strand or score gr <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3))) df <- data.frame(seqnames = factor(c(1,1,2)), start = 1:3, end = 4:6, width = c(4L, 4L, 4L), strand = strand(rep("*", 3)), row.names = head(letters,3), stringsAsFactors = FALSE) checkIdentical(as.data.frame(gr), df) ## score, no strand gr <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), score = c(10L,2L,NA)) df <- data.frame(seqnames = factor(c(1,1,2)), start = 1:3, end = 4:6, width = c(4L, 4L, 4L), strand = strand(rep("*", 3)), score = c(10L,2L,NA), row.names = head(letters,3), stringsAsFactors = FALSE) checkIdentical(as.data.frame(gr), df) ## strand, no score gr <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), strand = strand(c("+", "-", "*"))) df <- data.frame(seqnames = factor(c(1,1,2)), start = 1:3, end = 4:6, width = c(4L, 4L, 4L), strand = strand(c("+", "-", "*")), row.names = head(letters,3), stringsAsFactors = FALSE) checkIdentical(as.data.frame(gr), df) ## strand & score gr <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), strand = strand(c("+", "-", "*")), score = c(10L,2L,NA)) df <- data.frame(seqnames = factor(c(1,1,2)), start = 1:3, end = 4:6, width = c(4L, 4L, 4L), strand = strand(c("+", "-", "*")), score = c(10L,2L,NA), row.names = head(letters,3), stringsAsFactors = FALSE) checkIdentical(as.data.frame(gr), df) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting. ### test_GRanges_subsetting <- function() { ## [ gr <- .make_TARGET_GRanges() checkException(gr[1000], silent = TRUE) checkException(gr["bad"], silent = TRUE) checkIdentical(gr, gr[]) checkIdentical(as.data.frame(gr)[c(1,3,5),], as.data.frame(gr[c(1,3,5)])) checkIdentical(as.data.frame(gr)[c(1,3,5),-7], as.data.frame(gr[c(1,3,5),"score"])) checkIdentical(as.data.frame(gr)[c(1,3,5),-7], as.data.frame(gr[c(1,3,5),1])) checkIdentical(gr, gr[Rle(TRUE)]) ## [<- gr <- .make_TARGET_GRanges() gr[] <- rev(gr) revgr <- rev(.make_TARGET_GRanges()) names(revgr) <- rev(names(revgr)) checkIdentical(gr, revgr) ## window gr <- .make_TARGET_GRanges() checkIdentical(gr[1:3], window(gr, 1, 3)) ## [ by IRanges gr <- .make_TARGET_GRanges() checkIdentical(gr[1:3], gr[IRanges(1, 3)]) checkIdentical(gr[c(1:3, 1:3)], gr[IRanges(c(1,1), c(3,3))]) ## [<- by IRanges gr1 <- .make_TARGET_GRanges() gr1[1:3] <- .make_TARGET_GRanges()[4:6] gr2 <- .make_TARGET_GRanges() gr2[IRanges(1, 3)] <- .make_TARGET_GRanges()[4:6] checkIdentical(gr1, gr2) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Combine and split. ### test_GRanges_combine <- function() { gr1 <- .make_TARGET_GRanges() gr2 <- .make_TARGET_GRanges() ######################################################################### ## An unremarkable combination gc1 <- c(gr1, gr2) checkEquals(start(gc1), c(start(gr1), start(gr2))) checkEquals(end(gc1), c(end(gr1), end(gr2))) ## Check the combined data frames -- the rownaming is different when ## combining using these two strategies, so ignore them for now. vc1 <- as.data.frame(mcols(gc1)) rownames(vc1) <- NULL vc.orig <- as.data.frame(rbind(mcols(gr1), mcols(gr2))) rownames(vc.orig) <- NULL checkIdentical(vc1, vc.orig) ######################################################################### ## Combining GRanges objects with differing metadata columns colnames(mcols(gr1))[1] <- 'illegal' checkException(c(gr1, gr2), silent=TRUE) ## Ignore mcols gc2 <- c(gr1, gr2, ignore.mcols=TRUE) em2 <- mcols(gc2) checkIdentical(nrow(em2), length(gc2)) checkIdentical(ncol(em2), 0L) ######################################################################### ## More testing gr <- .make_TARGET_GRanges() gr2 <- gr names(gr2) <- NULL checkException(c(GRanges(), RangedData()), silent = TRUE) checkException(c(gr, gr[,-1]), silent = TRUE) checkIdentical(as.data.frame(c(gr, gr2), row.names=NULL), rbind(as.data.frame(gr, row.names=NULL), as.data.frame(gr2, row.names=NULL))) checkIdentical(as.data.frame(c(gr2, gr), row.names=NULL), rbind(as.data.frame(gr2, row.names=NULL), as.data.frame(gr, row.names=NULL))) } test_GRanges_split <- function() { gr <- .make_TARGET_GRanges() checkException(split(gr, NULL), silent = TRUE) checkIdentical(split(gr, rep(c("a", "b"), each=5)), GRangesList(a = head(gr, 5), b = tail(gr, 5))) } GenomicRanges/inst/unitTests/test_GRangesList-class.R0000644000126300012640000001470012227070336024310 0ustar00biocbuildphs_compbiomake_test_GRangesList <- function() { GRangesList( a = new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))), b = new("GRanges", seqnames = Rle(factor(c("chr2", "chr4", "chr5")), c(3, 6, 4)), ranges = IRanges(1:13, width = 13:1, names = tail(letters, 13)), strand = Rle(strand(c("-", "+", "-")), c(4, 5, 4)), seqinfo = Seqinfo(seqnames = paste("chr", c(2L, 4:5), sep="")), elementMetadata = DataFrame(score = 1:13, GC = seq(0, 1, length=13)))) } test_GRangesList_construction <- function() { checkException(GRangesList(IRangesList()), silent = TRUE) checkTrue(validObject(new("GRangesList"))) checkTrue(validObject(GRangesList())) checkTrue(validObject(GRangesList(GRanges()))) checkTrue(validObject(GRangesList(a = GRanges()))) checkTrue(validObject(make_test_GRangesList())) } test_GRangesList_coercion <- function() { ## RangedDataList -> GRangesList rd <- RangedData(space = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), strand = strand(c("+", "-", "*")), score = c(10L,2L,NA)) rdl <- RangedDataList(a = rd, b = rd) gr <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), strand = strand(c("+", "-", "*")), score = c(10L,2L,NA)) grl <- GRangesList(a = gr, b = gr) checkIdentical(as(rdl, "GRangesList"), grl) ## as.data.frame gr1 <- GRanges(seqnames = c(1,1,2), ranges = IRanges(1:3,4:6, names = head(letters,3)), strand = strand(c("+", "-", "*")), score = c(10L,2L,NA)) gr2 <- GRanges(seqnames = c("chr1", "chr2"), ranges = IRanges(1:2,1:2, names = tail(letters,2)), strand = strand(c("*", "*")), score = 12:13) grl <- GRangesList(a = gr1, b = gr2) df <- data.frame(element = rep(c("a","b"), c(3, 2)), seqnames = factor(c(1,1,2,"chr1","chr2")), start = c(1:3,1:2), end = c(4:6,1:2), width = c(4L, 4L, 4L, 1L, 1L), strand = strand(c("+", "-", "*", "*", "*")), score = c(10L,2L,NA,12:13), row.names = c(head(letters,3), tail(letters,2)), stringsAsFactors = FALSE) checkIdentical(as.data.frame(grl), df) } test_GRangesList_accessors <- function() { grl <- make_test_GRangesList() checkIdentical(seqnames(grl), RleList(lapply(grl, seqnames), compress=TRUE)) checkIdentical(ranges(grl), IRangesList(lapply(grl, ranges))) checkIdentical(strand(grl), RleList(lapply(grl, strand), compress=TRUE)) checkIdentical(seqlengths(grl), seqlengths(grl@unlistData)) checkIdentical(mcols(grl, level="within"), SplitDataFrameList(lapply(grl, mcols))) } test_GRangesList_RangesList <- function() { grl <- make_test_GRangesList() checkIdentical(start(grl), IntegerList(lapply(grl, start))) checkIdentical(end(grl), IntegerList(lapply(grl, end))) checkIdentical(width(grl), IntegerList(lapply(grl, width))) ## start checkException(start(GRangesList()) <- NULL, silent = TRUE) checkException(start(make_test_GRangesList()) <- 1:26, silent = TRUE) grl <- make_test_GRangesList() orig <- start(grl) start(grl) <- orig + 1L checkIdentical(start(grl), orig + 1L) ## end checkException(end(GRangesList()) <- NULL, silent = TRUE) checkException(end(make_test_GRangesList()) <- 1:26, silent = TRUE) grl <- make_test_GRangesList() orig <- end(grl) end(grl) <- orig + 1L checkIdentical(end(grl), orig + 1L) ## width checkException(width(GRangesList()) <- NULL, silent = TRUE) checkException(width(make_test_GRangesList()) <- 1:26, silent = TRUE) grl <- make_test_GRangesList() orig <- width(grl) width(grl) <- orig + 1L checkIdentical(width(grl), orig + 1L) ## shift grl <- make_test_GRangesList() shifted <- shift(grl, 10) checkIdentical(start(grl) + 10L, start(shifted)) } test_GRangesList_Vector <- function() { grl <- make_test_GRangesList() checkIdentical(grl, grl[]) checkIdentical(grl[,"score"], GRangesList(lapply(grl, function(x) x[,"score"]))) checkIdentical(grl[seqnames(grl) == "chr2",], GRangesList(lapply(grl, function(x) x[seqnames(x) == "chr2",]))) checkIdentical(grl[seqnames(grl) == "chr2", "score"], GRangesList(lapply(grl, function(x) x[seqnames(x) == "chr2", "score"]))) checkIdentical(GRangesList(), c(GRangesList(), GRangesList())) checkIdentical(grl, c(grl, GRangesList())) checkIdentical(grl, c(GRangesList(), grl)) GRL <- local({ x <- grl names(x) <- toupper(names(grl)) for (i in seq_len(length(x))) names(x[[i]]) <- toupper(names(grl[[i]])) x }) res <- c(grl, GRL) checkTrue(validObject(res)) ## [ checkIdentical(grl, grl[Rle(TRUE)]) checkIdentical(grl, res[seq_len(length(grl))]) checkIdentical(GRL, res[-seq_len(length(grl))]) ## checkException(c(grl, grl), "c() check for duplicated names", TRUE) checkIdentical(grl, local({ x <- grl x[IRanges(1, 1)] <- grl[IRanges(1, 1)] x }), "[ by IRanges") checkIdentical(grl, local({ x <- grl; x[1] <- grl[1]; x }), "[<- 1") checkIdentical(grl, local({ x <- grl; x[1:2] <- grl[1:2]; x }), "[<- 2") checkIdentical(grl, local({ x <- grl; x[[1]] <- grl[[1]] names(x) <- names(grl) x }), "[[<-, replace") checkIdentical(grl, local({ x <- grl; x[["b"]] <- grl[[2]] names(x) <- names(grl) x }), "[[<-, replace char") checkIdentical(grl, local({ x <- grl[1]; x[[2]] <- grl[[2]] names(x) <- names(grl) x }), "[[<-, extend-by-1") checkIdentical(grl, local({ x <- grl[1]; x[["b"]] <- grl[[2]] names(x) <- names(grl) x }), "[[<-, extend-by-1 char") } GenomicRanges/inst/unitTests/test_Seqinfo-class.R0000644000126300012640000000733512227070336023540 0ustar00biocbuildphs_compbiogr1 <- GRanges(c("chr1", "chr1"), IRanges(1, 5)) gr2 <- GRanges(c("chr1", "chr2"), IRanges(1, 5)) gr3 <- GRanges(c("chr3", "chr3", "chr3"), IRanges(1:3, 5)) test_Seqinfo_seqlevels_subset <- function() { ## GRanges gr <- gr2 seqlevels(gr, force=TRUE) <- "chr2" checkIdentical("chr2", seqlevels(gr)) checkIdentical(1L, length(gr)) gr <- suppressWarnings(c(gr1, gr2, gr3)) ## GRangesList grl <- GRangesList(gr1, gr2, gr3) seqlevels(grl, force=TRUE) <- "chr1" checkIdentical("chr1", seqlevels(grl)) checkIdentical(1L, length(grl)) grl <- GRangesList(gr2) seqlevels(grl, force=TRUE) <- "chr1" checkIdentical(0L, length(grl)) ## GAlignments gal <- GAlignments(seqnames=Rle(c("chr1", "chr2")), pos=as.integer(c(10, 100)), cigar=c("50M", "50M"), strand=strand(c("*", "*"))) seqlevels(gal, force=TRUE) <- "chr2" checkIdentical("chr2", seqlevels(gal)) } test_Seqinfo_seqlevels_rename <- function() { ## GRanges gr <- suppressWarnings(c(gr1, gr2, gr3)) seqlevels(gr) <- gsub("chr", "CHR", seqlevels(gr)) checkIdentical(c("CHR1", "CHR2", "CHR3"), seqlevels(gr)) seqlevels(gr)[seqlevels(gr) == "CHR2"] <- "2" checkIdentical(c("CHR1", "2", "CHR3"), seqlevels(gr)) new <- rev(seqlevels(gr)) seqlevels(gr) <- new checkIdentical(new, seqlevels(gr)) ## GRangesList grl <- suppressWarnings(GRangesList(gr1, gr2, gr3)) idx <- seqlevels(grl) == "chr2" checkException(seqlevels(grl)[idx] <- "chr1", silent=TRUE) seqlevels(grl)[seqlevels(grl) == "chr3"] <- "3" checkIdentical(c("chr1", "chr2", "3"), seqlevels(grl)) ## GAlignments gal <- GAlignments(seqnames=Rle(c("chr1", "chr2")), pos=as.integer(c(10, 100)), cigar=c("50M", "50M"), strand=strand(c("*", "*"))) seqlevels(gal)[seqlevels(gal) == "chr2"] <- "2" checkIdentical(c("chr1", "2"), seqlevels(gal)) } test_Seqinfo_seqlevels_drop_add <- function() { grl <- GRangesList(gr1, gr2, gr3) new_seqlevels <- setdiff(seqlevels(grl), "chr1") checkException(seqlevels(grl) <- new_seqlevels, silent=TRUE) target <- GRangesList(GRanges("chr3", IRanges(1:3, 5), seqinfo=Seqinfo(c("chr2", "chr3")))) seqlevels(grl, force=TRUE) <- new_seqlevels checkIdentical(target, grl) grl <- grl0 <- GRangesList(gr1, gr2, gr3) checkException(seqlevels(grl) <- c(seqlevels(grl), "chr2"), silent=TRUE) seqlevels(grl) <- c(seqlevels(grl), "chrX") checkIdentical(c("chr1", "chr2", "chr3", "chrX"), seqlevels(grl)) new_seqlevels <- setdiff(seqlevels(grl), "chrX") seqlevels(grl) <- new_seqlevels checkIdentical(grl0, grl) } test_Seqinfo.merge <- function() { x <- Seqinfo(seqnames=c("chr1", "chr2", "chr3", "chrM"), seqlengths=c(100, 200, NA, 15), isCircular=c(NA, FALSE, FALSE, TRUE)) checkIdentical(merge(x), x) checkIdentical(merge(x, NULL), x) checkIdentical(merge(NULL, x), x) checkIdentical(merge(x, Seqinfo()), x) checkIdentical(merge(Seqinfo(), x), x) checkIdentical(merge(x, x), x) checkIdentical(merge(x, Seqinfo(rev(names(seqlengths)))), x) y <- Seqinfo(seqnames=c("chrM", "chr4", "chr3"), seqlengths=c(15, NA, 300)) got <- merge(x, y) want <- Seqinfo(seqnames=c("chr1", "chr2", "chr3", "chrM", "chr4"), seqlengths=c(100, 200, 300, 15, NA), isCircular=c(NA, FALSE, FALSE, TRUE, NA)) checkIdentical(got, want) ## This contradicts what 'x' says about circularity of chr3 and chrM: isCircular(y)[c("chr3", "chrM")] <- c(TRUE, FALSE) checkException(merge(x, y), silent=TRUE) } GenomicRanges/inst/unitTests/test_SummarizedExperiment-class.R0000644000126300012640000002771612227070336026322 0ustar00biocbuildphs_compbiom <- matrix(1, 5, 3, dimnames=list(NULL, NULL)) mlst <- matrix(1, 3, 3, dimnames=list(NULL, NULL)) mList <- list(m, mlst) assaysList <- list(gr=SimpleList(m=m), grl=SimpleList(m=mlst)) rowDataList <- list(gr=GRanges("chr1", IRanges(1:5, 10)), grl=split(GRanges("chr1", IRanges(1:5, 10)), c(1,1,2,2,3))) names(rowDataList[["grl"]]) <- NULL colData <- DataFrame(x=letters[1:3]) ## a list of one SE with GRanges and one with GRangesList ssetList <- list(SummarizedExperiment( assays=assaysList[["gr"]], rowData=rowDataList[["gr"]], colData=colData), SummarizedExperiment( assays=assaysList[["grl"]], rowData=rowDataList[["grl"]], colData=colData)) test_SummarizedExperiment_construction <- function() { ## empty-ish m1 <- matrix(0, 0, 0) checkTrue(validObject(new("SummarizedExperiment"))) checkTrue(validObject(SummarizedExperiment())) checkTrue(validObject( SummarizedExperiment(assays=SimpleList(m1)))) checkException( SummarizedExperiment(assays=SimpleList(matrix())), "assays dim mismatch", TRUE) checkException( SummarizedExperiment(assays=SimpleList(m1, matrix())), "assays dim mismatch", TRUE) checkException( SummarizedExperiment(assays=SimpleList(character())), "assays class", TRUE) ## substance for (i in length(ssetList)) { sset <- ssetList[[i]] checkTrue(validObject(sset)) checkIdentical(SimpleList(m=mList[[i]]), assays(sset)) checkIdentical(rowDataList[[i]], rowData(sset)) checkIdentical(DataFrame(x=letters[1:3]), colData(sset)) } ## array in assays slot ss <- ssetList[[1]] assays(ss) <- SimpleList(array(1:5, c(5,3,2))) checkTrue(validObject(ss)) checkTrue(all(dim(assays(ss[1:3,1:2])[[1]]) == c(3, 2, 2))) } test_SummarizedExperiment_getters <- function() { for (i in length(ssetList)) { sset <- ssetList[[i]] rowData <- rowDataList[[i]] ## dim, dimnames checkIdentical(c(length(rowData), nrow(colData)), dim(sset)) checkIdentical(list(NULL, NULL), dimnames(sset)) ## row / col / exptData checkIdentical(rowData, rowData(sset)) checkIdentical(colData, colData(sset)) checkIdentical(SimpleList(), exptData(sset)) } ## assays m0 <- matrix(0L, 0, 0, dimnames=list(NULL, NULL)) m1 <- matrix(0, 0, 0, dimnames=list(NULL, NULL)) a <- SimpleList(a=m0, b=m1) checkIdentical(a, assays(SummarizedExperiment(assays=a))) ## assay checkException( assay(SummarizedExperiment()), "0-length assay", TRUE) checkIdentical(m0, assay(SummarizedExperiment(assays=a)), "default assay") checkIdentical(m1, assay(SummarizedExperiment(assays=a), 2), "assay, numeric index") checkException( assay(SummarizedExperiment(assays=a), 3), "invalid assay index", TRUE) checkIdentical(m1, assay(SummarizedExperiment(assays=a), "b"), "assay, character index") checkException( assay(SummarizedExperiment(assays=a), "c"), "invalid assay name", TRUE) } test_SummarizedExperiment_setters <- function() { for (i in length(ssetList)) { sset <- ssetList[[i]] rowData <- rowDataList[[i]] ## row / col / exptData<- ss1 <- sset revData <- rowData[rev(seq_len(length(rowData))),,drop=FALSE] rowData(ss1) <- revData checkIdentical(revData, rowData(ss1)) checkException(rowData(ss1) <- rowData(sset)[1:2,,drop=FALSE], "incorrect row dimensions", TRUE) revData <- colData[rev(seq_len(nrow(colData))),,drop=FALSE] colData(ss1) <- revData checkIdentical(revData, colData(ss1)) checkException(colData(ss1) <- colData(sset)[1:2,,drop=FALSE], "incorrect col dimensions", TRUE) lst <- SimpleList("foo", "bar") exptData(ss1) <- lst checkIdentical(lst, exptData(ss1)) ## assay / assays ss1 <- sset assay(ss1) <- assay(ss1)+1 checkIdentical(assay(sset)+1, assay(ss1)) ss1 <- sset assay(ss1, 1) <- assay(ss1, 1) + 1 checkIdentical(assay(sset, "m") + 1, assay(ss1, "m")) ss1 <- sset assay(ss1, "m") <- assay(ss1, "m") + 1 checkIdentical(assay(sset, "m")+1, assay(ss1, "m")) ## dimnames<- ss1 <- sset dimnames <- list(letters[seq_len(nrow(ss1))], LETTERS[seq_len(ncol(ss1))]) rownames(ss1) <- dimnames[[1]] colnames(ss1) <- dimnames[[2]] checkIdentical(dimnames, dimnames(ss1)) rowData1 <- rowData names(rowData1) <- dimnames[[1]] checkIdentical(rowData1, rowData(ss1)) colData1 <- colData row.names(colData1) <- dimnames[[2]] checkIdentical(colData1, colData(ss1)) ss1 <- sset dimnames(ss1) <- dimnames checkIdentical(dimnames, dimnames(ss1)) dimnames(ss1) <- NULL checkIdentical(list(NULL, NULL), dimnames(ss1)) } } test_SummarizedExperiment_subset <- function() { for (i in length(ssetList)) { sset <- ssetList[[i]] rowData <- rowDataList[[i]] ## numeric ss1 <- sset[2:3,] checkIdentical(c(2L, ncol(sset)), dim(ss1)) checkIdentical(rowData(ss1), rowData(sset)[2:3,]) checkIdentical(colData(ss1), colData(sset)) ss1 <- sset[,2:3] checkIdentical(c(nrow(sset), 2L), dim(ss1)) checkIdentical(rowData(ss1), rowData(sset)) checkIdentical(colData(ss1), colData(sset)[2:3,,drop=FALSE]) ss1 <- sset[2:3, 2:3] checkIdentical(c(2L, 2L), dim(ss1)) checkIdentical(rowData(ss1), rowData(sset)[2:3,,drop=FALSE]) checkIdentical(colData(ss1), colData(sset)[2:3,,drop=FALSE]) ## character ss1 <- sset dimnames(ss1) <- list(LETTERS[seq_len(nrow(ss1))], letters[seq_len(ncol(ss1))]) ridx <- c("B", "C") checkIdentical(rowData(ss1[ridx,]), rowData(ss1)[ridx,]) checkIdentical(rowData(ss1["C",]), rowData(ss1)["C",,drop=FALSE]) checkException(ss1[LETTERS,], "i-index out of bounds", TRUE) cidx <- c("b", "c") checkIdentical(colData(ss1[,cidx]), colData(ss1)[cidx,,drop=FALSE]) checkIdentical(colData(ss1[,"a"]), colData(ss1)["a",,drop=FALSE]) checkException(ss1[,letters], "j-index out of bounds", TRUE) ## logical ss1 <- sset dimnames(ss1) <- list(LETTERS[seq_len(nrow(ss1))], letters[seq_len(ncol(ss1))]) checkEquals(ss1, ss1[TRUE,]) checkIdentical(c(0L, ncol(ss1)), dim(ss1[FALSE,])) checkEquals(ss1, ss1[,TRUE]) checkIdentical(c(nrow(ss1), 0L), dim(ss1[,FALSE])) idx <- c(TRUE, FALSE) # recycling ss2 <- ss1[idx,] checkIdentical(rowData(ss1)[idx,,drop=FALSE], rowData(ss2)) ss2 <- ss1[,idx] checkIdentical(colData(ss1)[idx,,drop=FALSE], colData(ss2)) ## Rle ss1 <- sset rle <- rep(c(TRUE, FALSE), each=3, length.out=nrow(ss1)) checkIdentical(rowData(ss1[rle]), rowData(ss1[Rle(rle)])) checkIdentical(assays(ss1[rle]), assays(ss1[Rle(rle)])) } ## 0 columns se <- SummarizedExperiment(rowData=GRanges("chr1", IRanges(1:10, width=1))) checkIdentical(dim(se[1:5, ]), c(5L, 0L)) ## 0 rows se <- SummarizedExperiment(colData=DataFrame(samples=1:10)) checkIdentical(dim(se[ ,1:5]), c(0L, 5L)) } test_SummarizedExperiment_subsetassign <- function() { for (i in length(ssetList)) { sset <- ssetList[[i]] dimnames(sset) <- list(LETTERS[seq_len(nrow(sset))], letters[seq_len(ncol(sset))]) ## rows ss1 <- sset ss1[1:2,] <- ss1[2:1,] checkIdentical(rowData(sset)[2:1,], rowData(ss1)[1:2,]) checkIdentical(rowData(sset[-(1:2),]), rowData(ss1)[-(1:2),]) checkIdentical(colData(sset), colData(ss1)) checkIdentical(c(exptData(sset), exptData(sset)), exptData(ss1)) ## Rle ss1rle <- ss1Rle <- sset rle <- rep(c(TRUE, FALSE), each=3, length.out=nrow(ss1)) ss1rle[rle,] <- ss1rle[rle,] ss1Rle[Rle(rle),] <- ss1Rle[Rle(rle),] checkIdentical(rowData(ss1rle), rowData(ss1Rle)) checkIdentical(assays(ss1rle), assays(ss1Rle)) ## cols ss1 <- sset ss1[,1:2] <- ss1[,2:1,drop=FALSE] checkIdentical(colData(sset)[2:1,,drop=FALSE], colData(ss1)[1:2,,drop=FALSE]) checkIdentical(colData(sset)[-(1:2),,drop=FALSE], colData(ss1)[-(1:2),,drop=FALSE]) checkIdentical(rowData(sset), rowData(ss1)) checkIdentical(c(exptData(sset), exptData(sset)), exptData(ss1)) } ## full replacement ss1 <- ss2 <- ssetList[[1]] rowData(ss2) <- rev(rowData(ss2)) ss1[,] <- ss2 checkIdentical(ss1, ss2) } quiet <- suppressWarnings test_SummarizedExperiment_cbind <- function() ## requires matching ranges { ## empty se <- SummarizedExperiment() empty <- cbind(se, se) checkTrue(all.equal(se, empty)) ## different ranges se1 <- ssetList[[1]] se2 <- se1[2:4] rownames(se2) <- month.name[seq_len(nrow(se2))] checkException(quiet(cbind(se1, se2)), silent=TRUE) ## same ranges se1 <- ssetList[[1]] se2 <- se1[,1:2] colnames(se2) <- month.name[seq_len(ncol(se2))] res <- cbind(se1, se2) checkTrue(nrow(res) == 5) checkTrue(ncol(res) == 5) ## rowData mcols(se1) <- DataFrame("one"=1:5) mcols(se2) <- DataFrame("two"=6:10) res <- quiet(cbind(se1, se2)) checkIdentical(names(mcols(rowData(res))), c("one", "two")) mcols(se2) <- DataFrame("one"=6:10, "two"=6:10) checkException(cbind(se1, se2), silent=TRUE) ## colData checkTrue(nrow(colData(res)) == 5) ## assays se1 <- ssetList[[1]] se2 <- se1[,1:2] assays(se1) <- SimpleList("m"=matrix(rep("m", 15), nrow=5), "a"=array(rep("a", 30), c(5,3,2))) assays(se2) <- SimpleList("m"=matrix(LETTERS[1:10], nrow=5), "a"=array(LETTERS[1:20], c(5,2,2))) res <- cbind(se1, se2) ## same variables checkTrue(nrow(res) == 5) checkTrue(ncol(res) == 5) checkTrue(all.equal(dim(assays(res)$m), c(5L, 5L))) checkTrue(all.equal(dim(assays(res)$a), c(5L, 5L, 2L))) names(assays(se1)) <- c("mm", "aa") checkException(cbind(se1, se2), silent=TRUE) ## different variables } test_SummarizedExperiment_rbind <- function() ## requires matching samples { ## empty se <- SummarizedExperiment() empty <- rbind(se, se) checkTrue(all.equal(se, empty)) ## different samples se1 <- ssetList[[1]] se2 <- se1[,1] checkException(quiet(rbind(se1, se2)), silent=TRUE) ## same samples se1 <- ssetList[[1]] se2 <- se1 rownames(se2) <- LETTERS[seq_len(nrow(se2))] res <- rbind(se1, se2) checkTrue(nrow(res) == 10) checkTrue(ncol(res) == 3) ## rowData mcols(se1) <- DataFrame("one"=1:5) mcols(se2) <- DataFrame("two"=6:10) checkException(rbind(se1, se2), silent=TRUE) ## colDat se1 <- ssetList[[1]] se2 <- se1 colData(se2) <- DataFrame("one"=1:3, "two"=4:6) res <- quiet(rbind(se1, se2)) checkTrue(ncol(colData(res)) == 3) ## assays se1 <- ssetList[[1]] se2 <- se1 assays(se1) <- SimpleList("m"=matrix(rep("m", 15), nrow=5), "a"=array(rep("a", 30), c(5,3,2))) assays(se2) <- SimpleList("m"=matrix(LETTERS[1:15], nrow=5), "a"=array(LETTERS[1:30], c(5,3,2))) res <- rbind(se1, se2) ## same variables checkTrue(nrow(res) == 10) checkTrue(ncol(res) == 3) checkTrue(all.equal(dim(assays(res)$m), c(10L, 3L))) checkTrue(all.equal(dim(assays(res)$a), c(10L, 3L, 2L))) names(assays(se1)) <- c("mm", "aa") checkException(rbind(se1, se2), silent=TRUE) ## different variables } GenomicRanges/inst/unitTests/test_SummarizedExperiment-rowData-methods.R0000644000126300012640000001113012227070336030236 0ustar00biocbuildphs_compbiolibrary(digest) .singleDispatch <- c("coverage", "disjointBins", "duplicated", "end", "end<-", "flank", "granges", "isDisjoint", "narrow", "ranges", "resize", "restrict", "seqinfo", "seqnames", "shift", "start", "start<-", "strand", "width", "width<-", "strand", "ranges", "seqinfo<-") .twoDispatch <- c("nearest", "precede", "follow", "distance", "distanceToNearest", ## FIXME: "findOverlaps", "countOverlaps", "subsetByOverlaps") .otherFuns <- c("order", "rank", "sort") m <- matrix(1, 5, 3, dimnames=list(NULL, NULL)) mlst <- matrix(1, 3, 3, dimnames=list(NULL, NULL)) mList <- list(m, mlst) assaysList <- list(gr=SimpleList(m=m), grl=SimpleList(m=mlst)) rowDataList <- list(gr=GRanges("chr1", IRanges(1:5, 10)), grl=split(GRanges("chr1", IRanges(1:5, 10)), c(1,1,2,2,3))) names(rowDataList[["grl"]]) <- NULL colData <- DataFrame(x=letters[1:3]) ## a list of one SE with GRanges and one with GRangesList ssetList <- list(SummarizedExperiment( assays=assaysList[["gr"]], rowData=rowDataList[["gr"]], colData=colData), SummarizedExperiment( assays=assaysList[["grl"]], rowData=rowDataList[["grl"]], colData=colData)) test_SummarizedExperiment_GRanges_API <- function() { ## are we targetting the correct API? signature for ## SummarizedExperiment method should match signature for ## GenomicRanges or similar, as in each test below for (.fun in .singleDispatch) { generic <- getGeneric(.fun) method <- getMethod(.fun, "SummarizedExperiment") checkIdentical("x", generic@signature) checkIdentical(formals(generic@.Data), formals(method@.Data)) } .sig <- c("SummarizedExperiment", "SummarizedExperiment") .targ <- c("GenomicRanges", "GenomicRanges") for (.fun in .twoDispatch) { .siglocal <- body(getMethod(.fun, .sig)@.Data)[[2]][[3]] .targlocal <- body(getMethod(.fun, .targ)@.Data)[[2]][[3]] checkIdentical(formals(.targlocal), formals(.siglocal)) } ## FIXME: compare, Compare .sig <- "SummarizedExperiment" for (.fun in .otherFuns) { generic <- getGeneric(.fun) method <- getMethod(.fun, "SummarizedExperiment") checkIdentical(formals(generic@.Data), formals(method@.Data)) } } test_SummarizedExperiment_GRanges_values <- function() { x <- ssetList[[1]] isAssign <- grep("<-$", .singleDispatch, value=TRUE) needArgs <- c("flank", "resize") isEndomorphism <- c("narrow", "restrict", "shift") .funs <- setdiff(.singleDispatch, c(isAssign, needArgs, isEndomorphism)) ## 'exp' created after manual inspection of results exp <- setNames(c("d8c3a", "35e2c", "02dde", "80339", "11954", "72f53", "86757", "da311", "fa247", "35e2c", "df03b", "3c90a"), .funs) obs <- sapply(.funs, function(.fun) { substr(digest(getGeneric(.fun)(x)), 1, 5) }) checkIdentical(exp, obs) .funs <- isAssign .gets <- sub("<-$", "", isAssign) for (i in seq_along(isAssign)) { ## self-assignment isomorphism value <- getGeneric(.gets[[i]])(x) x1 <- do.call(isAssign[[i]], list(x, value=value)) checkIdentical(x, x1) } for (.fun in needArgs) { ## all needArgs operate on rowData generic <- getGeneric(.fun) x1 <- x; rowData(x1) <- generic(rowData(x1), 5) checkIdentical(x1, generic(x, 5)) } ## isEndomorphism for (.fun in isEndomorphism) { generic <- getGeneric(.fun) obs <- generic(x) checkIdentical(generic(rowData(x)), rowData(obs)) checkIdentical(assays(x), assays(obs)) } .funs <- c(.twoDispatch[.twoDispatch != "subsetByOverlaps"], "findOverlaps", "countOverlaps") x1 <- shift(x, seq_len(nrow(x)) * 5) for (.fun in .funs) { generic <- getGeneric(.fun) exp <- generic(rowData(x1), rowData(x1)) obs <- generic(x1, x1) checkIdentical(obs, exp) } # nearest,SummarizedExperiment,missing-method checkIdentical(nearest(rowData(x1)), nearest(x1)) checkIdentical(subsetByOverlaps(rowData(x1), rowData(x1)[3]), rowData(subsetByOverlaps(x1, x1[3]))) } test_SummarizedExperiment_split <- function() { gr <- GRanges(Rle(c("A", "B"), c(2, 3)), IRanges(1:5, 10)) se <- SummarizedExperiment(m, rowData=gr, colData=colData) ## FIXME: unname should not be necessary obs <- split(se, seqnames(se)) exp <- SimpleList(A=se[1:2], B=se[3:5]) checkEquals(obs, exp) } GenomicRanges/inst/unitTests/test_cigar-utils.R0000644000126300012640000001107712227070336023252 0ustar00biocbuildphs_compbio### test_cigarRangesAlongReferenceSpace <- function() { cigar <- c("30M5000N10M", "50M4S", "90=10X5I50M10D40M", "18M10I22M", "99I") pos <- c(101, 201, 1001, 301, 2001) seqlevels <- c("chr2", "chr6") rname <- factor(c("chr6", "chr6", "chr2", "chr6", "chr2"), levels=seqlevels) ops <- c("M", "=", "X", "I", "D") current <- as.list(cigarRangesAlongReferenceSpace(cigar, pos=pos, f=rname, ops=ops)) ir2 <- IRanges(start=c(1001, 1091, 1101, 1101, 1151, 1161, 2001), end=c(1090, 1100, 1100, 1150, 1160, 1200, 2000)) ir6 <- IRanges(start=c(101, 5131, 201, 301, 319, 319), end=c(130, 5140, 250, 318, 318, 340)) target <- list(chr2=ir2, chr6=ir6) checkIdentical(target, current) current <- as.list(cigarRangesAlongReferenceSpace(cigar, pos=pos, f=rname, ops=ops, reduce.ranges=TRUE)) ir2b <- c(reduce(ir2[1:6]), reduce(ir2[7])) ir6b <- c(reduce(ir6[1:2]), reduce(ir6[3]), reduce(ir6[4:6])) target <- list(chr2=ir2b, chr6=ir6b) checkIdentical(target, current) current <- as.list(extractAlignmentRangesOnReference(cigar, pos=pos, f=rname)) checkIdentical(target, current) current <- as.list(cigarRangesAlongReferenceSpace(cigar, pos=pos, f=rname, ops=setdiff(ops, "D"))) ir2 <- ir2[-5] target <- list(chr2=ir2, chr6=ir6) checkIdentical(target, current) current <- as.list(cigarRangesAlongReferenceSpace(cigar, pos=pos, f=rname, ops=setdiff(ops, "D"), reduce.ranges=TRUE)) ir2 <- c(reduce(ir2[1:5]), reduce(ir2[6])) ir6 <- c(reduce(ir6[1:2]), reduce(ir6[3]), reduce(ir6[4:6])) target <- list(chr2=ir2, chr6=ir6) checkIdentical(target, current) current <- as.list(extractAlignmentRangesOnReference(cigar, pos=pos, drop.D.ranges=TRUE, f=rname)) checkIdentical(target, current) } test_cigarQNarrow <- function() { cigar <- c("25M4D10M", "6S17M6I3M3S") ans <- cigarQNarrow(cigar) ans0 <- cigar attr(ans0, "rshift") <- c(0L, 0L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=3, end=-3) ans0 <- c("23M4D8M", "4S17M6I3M1S") attr(ans0, "rshift") <- c(2L, 0L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=7, end=-4) ans0 <- c("19M4D7M", "17M6I3M") attr(ans0, "rshift") <- c(6L, 0L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=8, end=-5) ans0 <- c("18M4D6M", "16M6I2M") attr(ans0, "rshift") <- c(7L, 1L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=25) ans0 <- c("1M4D10M", "5I3M3S") attr(ans0, "rshift") <- c(24L, 17L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=26) ans0 <- c("10M", "4I3M3S") attr(ans0, "rshift") <- c(29L, 17L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=26, end=-8) ans0 <- c("3M", "3I") attr(ans0, "rshift") <- c(29L, 17L) checkIdentical(ans, ans0) ans <- cigarQNarrow(cigar, start=26, end=-10) ans0 <- c("1M", "1I") attr(ans0, "rshift") <- c(29L, 17L) checkIdentical(ans, ans0) } test_cigarNarrow <- function() { cigar <- c("25M4D10M", "6S17M6I3M3S") ans <- cigarNarrow(cigar) ans0 <- c("25M4D10M", "17M6I3M") attr(ans0, "rshift") <- c(0L, 0L) checkIdentical(ans, ans0) ans <- cigarNarrow(cigar, start=3, end=-3) ans0 <- c("23M4D8M", "15M6I1M") attr(ans0, "rshift") <- c(2L, 2L) checkIdentical(ans, ans0) ans <- cigarNarrow(cigar, start=7, end=-4) ans0 <- c("19M4D7M", "11M") attr(ans0, "rshift") <- c(6L, 6L) checkIdentical(ans, ans0) ans <- cigarNarrow(cigar, start=8, end=-5) ans0 <- c("18M4D6M", "9M") attr(ans0, "rshift") <- c(7L, 7L) checkIdentical(ans, ans0) ans <- cigarNarrow(cigar[1], start=26, end=-10) ans0 <- "1M" attr(ans0, "rshift") <- 29L checkIdentical(ans, ans0) } test_refLocs2queryLocs <- function() { cigar <- "66S42M2I20M8I18D15M43243N5M1D38M1D85M1D115M139S" pos <- 525842L ref <- 43425L + pos - 1L query <- 238L ans <- .Call("ref_locs_to_query_locs", ref, cigar, pos, FALSE, PACKAGE="GenomicRanges") checkIdentical(ans, query) } GenomicRanges/inst/unitTests/test_coverage-methods.R0000644000126300012640000001144212232576336024266 0ustar00biocbuildphs_compbiomake_test_GRanges <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } make_test_GRangesList <- function() { GRangesList( a = new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))), b = new("GRanges", seqnames = Rle(factor(c("chr2", "chr4", "chr5")), c(3, 6, 4)), ranges = IRanges(1:13, width = 13:1, names = tail(letters, 13)), strand = Rle(strand(c("-", "+", "-")), c(4, 5, 4)), seqinfo = Seqinfo(seqnames = paste("chr", c(2L, 4:5), sep="")), elementMetadata = DataFrame(score = 1:13, GC = seq(0, 1, length=13)))) } test_coverage_GRanges <- function() { gr <- make_test_GRanges() target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(0:3, c(1, 1, 1, 7)), chr3=Rle(0:4, c(6, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(gr)) width <- c(chr1=10, chr2=20, chr3=30) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(c(0:3, 0L), c(1, 1, 1, 7, 10)), chr3=Rle(c(0:4, 0L), c(6, 1, 1, 1, 1, 20)), compress=FALSE) checkIdentical(target, coverage(gr, width=width)) weight <- list(chr1=1L, chr2=10L, chr3=100L) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(10L * 0:3, c(1, 1, 1, 7)), chr3=Rle(100L * 0:4, c(6, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(gr, weight=weight)) shift <- list(chr1=0, chr2=1, chr3=2) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(0:3, c(2, 1, 1, 7)), chr3=Rle(0:4, c(8, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(gr, shift=shift)) ## with circular sequences gr <- GRanges(seqnames=c("A", "B"), ranges=IRanges(start=5:6, width=7)) gr@seqinfo <- Seqinfo(seqnames=c("A", "B"), seqlengths=c(10, NA), isCircular=c(TRUE, FALSE)) target <- RleList(A=Rle(c(1L, 0L, 1L), c(1, 3, 6)), B=Rle(c(0L, 1L), c(5, 7)), compress=FALSE) checkIdentical(target, coverage(gr)) } test_coverage_GRangesList <- function() { grl <- make_test_GRangesList() target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(c(1L, 3L, 5L, 6L, 3L), c(1, 1, 1, 7, 3)), chr3=Rle(0:4, c(6, 1, 1, 1, 1)), chr4=Rle(0:6, c(3, 1, 1, 1, 1, 1, 5)), chr5=Rle(0:4, c(9, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(grl)) width <- c(chr1=10, chr2=20, chr3=30, chr4=40, chr5=50) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(c(1L, 3L, 5L, 6L, 3L, 0L), c(1, 1, 1, 7, 3, 7)), chr3=Rle(c(0:4, 0L), c(6, 1, 1, 1, 1, 20)), chr4=Rle(c(0:6, 0L), c(3, 1, 1, 1, 1, 1, 5, 27)), chr5=Rle(c(0:4, 0L), c(9, 1, 1, 1, 1, 37)), compress=FALSE) checkIdentical(target, coverage(grl, width=width)) weight <- list(chr1=1L, chr2=10L, chr3=100L, chr4=1000L, chr5=10000L) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(10L * c(1L, 3L, 5L, 6L, 3L), c(1, 1, 1, 7, 3)), chr3=Rle(100L * 0:4, c(6, 1, 1, 1, 1)), chr4=Rle(1000L * 0:6, c(3, 1, 1, 1, 1, 1, 5)), chr5=Rle(10000L * 0:4, c(9, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(grl, weight=weight)) shift <- list(chr1=0, chr2=1, chr3=2, chr4=3, chr5=4) target <- RleList(chr1=Rle(1:3, c(4, 1, 5)), chr2=Rle(c(0L, 1L, 3L, 5L, 6L, 3L), c(1, 1, 1, 1, 7, 3)), chr3=Rle(0:4, c(8, 1, 1, 1, 1)), chr4=Rle(0:6, c(6, 1, 1, 1, 1, 1, 5)), chr5=Rle(0:4, c(13, 1, 1, 1, 1)), compress=FALSE) checkIdentical(target, coverage(grl, shift=shift)) } GenomicRanges/inst/unitTests/test_findOverlaps-methods.R0000644000126300012640000004127712227070336025131 0ustar00biocbuildphs_compbiomake_subject <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1), strand = Rle(strand(c("-", "+", "+", "-", "-", "-")), c(1, 2, 1, 1, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } make_query <- function() { GRangesList(nomatch = GRanges(seqnames = "chr1", ranges = IRanges(start=5, end=10), strand = "+"), onematch = GRanges(seqnames = "chr3", ranges = IRanges(start=2, end=7), strand = "-"), twomatch = GRanges(seqnames = "chr1", ranges = IRanges(start=1, end=5), strand = "-")) } test_findOverlaps_no_overlaps_returns_empty_matches <- function() { query <- make_query() subject <- make_subject() ranges(subject) <- shift(ranges(subject), 1000L) ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(structure(c(0L, 0L, 0L), names=c("nomatch", "onematch", "twomatch")), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query[integer(0)], ans) } ## select = "first" expect <- rep(NA_integer_, length(query)) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_empty_query <- function() { query <- new("GRangesList") subject <- make_subject() ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 0L, subjectLength = 10L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(integer(0), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query, ans) } ## select = "first" expect <- integer() for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_empty_subject <- function() { query <- make_query() subject <- new("GRanges") ## select = "all" expect <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 0L) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "all") checkIdentical(expect, ans) ans <- countOverlaps(query, subject, type = type) checkIdentical(structure(c(0L, 0L, 0L), names=c("nomatch", "onematch", "twomatch")), ans) ans <- subsetByOverlaps(query, subject, type = type) checkIdentical(query[integer(0)], ans) } ## select = "first" expect <- rep(NA_integer_, length(query)) for (type in c("any", "start", "end")) { ans <- findOverlaps(query, subject, type = type, select = "first") checkIdentical(expect, ans) } } test_findOverlaps_zero_one_two_matches <- function() { query <- make_query() subject <- make_subject() ## select = "all" expectAny <- new("Hits", queryHits = c(2L, 3L, 3L), subjectHits = c(7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, select = "all", type = "any") ansStart <- findOverlaps(query, subject, select = "all", type = "start") ansEnd <- findOverlaps(query, subject, select = "all", type = "end") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) ## select = "first" expectAny <- c(NA_integer_, 7L, 1L) expectStart <- c(NA_integer_, NA_integer_, 1L) expectEnd <- c(NA_integer_, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } test_findOverlaps_multimatch_within_one_query <- function() { query <- make_query() query[[3L]] <- c(query[[3L]], query[[3L]]) subject <- make_subject() ## select = "all" expectAny <- new("Hits", queryHits = c(2L, 3L, 3L), subjectHits = c(7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, select = "all", type = "any") ansStart <- findOverlaps(query, subject, select = "all", type = "start") ansEnd <- findOverlaps(query, subject, select = "all", type = "end") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) ## select = "first" expectAny <- c(NA_integer_, 7L, 1L) expectStart <- c(NA_integer_, NA_integer_, 1L) expectEnd <- c(NA_integer_, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } test_findOverlaps_either_strand <- function() { query <- make_query() subject <- make_subject() query@unlistData@strand <- Rle(strand(c("*", "*", "-"))) ## select = "all" expectAny <- new("Hits", queryHits = c(1L, 1L, 1L, 2L, 3L, 3L), subjectHits = c(1L, 5L, 6L, 7L, 1L, 5L), queryLength = 3L, subjectLength = 10L) expectStart <- new("Hits", queryHits = c(1L, 3L), subjectHits = c(5L, 1L), queryLength = 3L, subjectLength = 10L) expectEnd <- new("Hits", queryHits = c(1L, 1L, 1L), subjectHits = c(1L, 5L, 6L), queryLength = 3L, subjectLength = 10L) ansAny <- findOverlaps(query, subject, type = "any", select = "all") ansStart <- findOverlaps(query, subject, type = "start", select = "all") ansEnd <- findOverlaps(query, subject, type = "end", select = "all") checkIdentical(expectAny, ansAny) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) countsAny <- countOverlaps(query, subject, type = "any") countsStart <- countOverlaps(query, subject, type = "start") countsEnd <- countOverlaps(query, subject, type = "end") checkIdentical(structure(tabulate(queryHits(expectAny), 3), names=c("nomatch", "onematch", "twomatch")), countsAny) checkIdentical(structure(tabulate(queryHits(expectStart), 3), names=c("nomatch", "onematch", "twomatch")), countsStart) checkIdentical(structure(tabulate(queryHits(expectEnd), 3), names=c("nomatch", "onematch", "twomatch")), countsEnd) subsetAny <- subsetByOverlaps(query, subject, type = "any") subsetStart <- subsetByOverlaps(query, subject, type = "start") subsetEnd <- subsetByOverlaps(query, subject, type = "end") checkIdentical(query[countsAny > 0], subsetAny) checkIdentical(query[countsStart > 0], subsetStart) checkIdentical(query[countsEnd > 0], subsetEnd) # select = "first" expectAny <- c(1L, 7L, 1L) expectStart <- c(5L, NA_integer_, 1L) expectEnd <- c(1L, NA_integer_, NA_integer_) ansAny <- findOverlaps(query, subject, type = "any", select = "first") ansStart <- findOverlaps(query, subject, type = "start", select = "first") ansEnd <- findOverlaps(query, subject, type = "end", select = "first") checkIdentical(expectAny, ansAny) checkIdentical(expectAny, findOverlaps(query, subject, select="first")) checkIdentical(expectStart, ansStart) checkIdentical(expectEnd, ansEnd) } test_findOverlaps_minoverlap_GRanges_GRangesList <- function() { query <- make_subject() subject <- make_query() current <- findOverlaps(query, subject, minoverlap = 5) target <- new("Hits", queryHits = 1L, subjectHits = 3L, queryLength = 10L, subjectLength = 3L) checkIdentical(target, current) current <- findOverlaps(query, subject, minoverlap = 6) target <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 10L, subjectLength = 3L) checkIdentical(target, current) } test_findOverlaps_minoverlap_GRangesList_GRanges <- function() { subject <- make_subject() query <- make_query() current <- findOverlaps(query, subject, minoverlap = 5) target <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 10L) checkIdentical(target, current) current <- findOverlaps(query, subject, minoverlap = 6) target <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 10L) checkIdentical(target, current) } test_findOverlaps_minoverlap_GrangesList_GRangesList <- function() { query <- make_query() subject <- GRangesList("g1" = make_subject()) current <- findOverlaps(query, subject, minoverlap = 1) target <- new("Hits", queryHits = c(2L, 3L), subjectHits = c(1L, 1L), queryLength = 3L, subjectLength = 1L) checkIdentical(target, current) query <- make_query() subject <- GRangesList("g1" = make_subject()) current <- findOverlaps(query, subject, minoverlap = 6) target <- new("Hits", queryHits = 3L, subjectHits = 1L, queryLength = 3L, subjectLength = 1L) checkIdentical(target, current) query <- make_query() subject <- GRangesList("g1" = make_subject()) current <- findOverlaps(query, subject, minoverlap = 7) target <- new("Hits", queryHits = integer(0), subjectHits = integer(0), queryLength = 3L, subjectLength = 1L) checkIdentical(target, current) current <- findOverlaps(subject, query, minoverlap = 6) target <- new("Hits", queryHits = 1L, subjectHits = 3L, queryLength = 1L, subjectLength = 3L) checkIdentical(target, current) } test_findOverlaps_with_circular_sequences <- function() { gr <- GRanges(seqnames=rep.int("A", 4), ranges=IRanges(start=c(2, 4, 6, 8), width=3)) ## With A of length 9 --> no overlap between last and first ranges. gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=9, isCircular=TRUE) current0 <- findOverlaps(gr, gr) matchMatrix0 <- matrix( c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 1L, 2L, 1L, 2L, 3L, 2L, 3L, 4L, 3L, 4L), ncol = 2, dimnames = list(NULL, c("queryHits", "subjectHits"))) target0 <- new("Hits", queryHits = unname(matchMatrix0[ , 1L]), subjectHits = unname(matchMatrix0[ , 2L]), queryLength = 4L, subjectLength = 4L) checkIdentical(target0, current0) ## With A of length 8 --> last and first ranges do overlap. gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=8, isCircular=TRUE) current1 <- findOverlaps(gr, gr) matchMatrix1 <- rbind(matchMatrix0, matrix(c(1L, 4L, 4L, 1L), ncol = 2)) o1 <- IRanges:::orderIntegerPairs(matchMatrix1[ , 1L], matchMatrix1[ , 2L]) matchMatrix1 <- matchMatrix1[o1, ] target1 <- new("Hits", queryHits = unname(matchMatrix1[ , 1L]), subjectHits = unname(matchMatrix1[ , 2L]), queryLength = 4L, subjectLength = 4L) checkIdentical(target1, current1) ## With A of length 8 and minoverlap=2 --> no overlap between last ## and first ranges. current2 <- findOverlaps(gr, gr, minoverlap=2) matchMatrix2 <- matrix(c(1:4, 1:4), ncol = 2, dimnames = list(NULL, c("queryHits", "subjectHits"))) target2 <- new("Hits", queryHits = unname(matchMatrix2[ , 1L]), subjectHits = unname(matchMatrix2[ , 2L]), queryLength = 4L, subjectLength = 4L) checkIdentical(target2, current2) ## With A of length 7 and minoverlap=2 --> last and first ranges ## do overlap. gr@seqinfo <- Seqinfo(seqnames="A", seqlengths=7, isCircular=TRUE) current3 <- findOverlaps(gr, gr, minoverlap=2) matchMatrix3 <- rbind(matchMatrix2, matrix(c(1L, 4L, 4L, 1L), ncol = 2)) o3 <- IRanges:::orderIntegerPairs(matchMatrix3[ , 1L], matchMatrix3[ , 2L]) matchMatrix3 <- matchMatrix3[o3, ] target3 <- new("Hits", queryHits = unname(matchMatrix3[ , 1L]), subjectHits = unname(matchMatrix3[ , 2L]), queryLength = 4L, subjectLength = 4L) checkIdentical(target3, current3) } GenomicRanges/inst/unitTests/test_findSpliceOverlaps-methods.R0000644000126300012640000002272412227070336026265 0ustar00biocbuildphs_compbio.extract <- function(x, col) as.logical(mcols(x)[[col]]) test_findSpliceOverlaps_compatible <- function() { genes <- GRangesList( GRanges("chr1", IRanges(5, 15), "+"), GRanges("chr1", IRanges(5, 15), "-")) reads <- GRangesList(GRanges("chr1", IRanges(3, 13), "+")) res <- findSpliceOverlaps(reads, genes[1]) checkIdentical(FALSE, .extract(res, "compatible")) res <- findSpliceOverlaps(reads, genes[2]) checkIdentical(logical(0), .extract(res, "compatible")) ## exact match to intron boundaries ## (no overlap between 'reads' and 'genes') genes <- GRangesList( GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+")) reads <- GRangesList( GRanges("chr1", IRanges(11, 19), "+")) res <- findSpliceOverlaps(reads, genes) checkIdentical(logical(0), .extract(res, "compatible")) ## overlap and span intron boundaries genes <- GRangesList( GRanges("chr1", IRanges(c(5, 20, 30), c(10, 25, 35)), "+")) reads <- GRangesList( GRanges("chr1", IRanges(5, 12), "+"), GRanges("chr1", IRanges(18, 23), "+"), GRanges("chr1", IRanges(c(4, 30), c(26, 36)), "+")) res <- findSpliceOverlaps(reads[1], genes) ## no read gaps checkIdentical(FALSE, .extract(res, "compatible")) res <- findSpliceOverlaps(reads[2], genes) ## no read gaps checkIdentical(FALSE, .extract(res, "compatible")) res <- findSpliceOverlaps(reads[3], genes) ## read gaps checkIdentical(FALSE, .extract(res, "compatible")) } #test_findSpliceOverlaps_novelTSS <- function() #{ # ## strand # genes <- GRangesList( # GRanges("chr1", IRanges(5, 15), "+"), # GRanges("chr1", IRanges(5, 15), "-"), # GRanges("chr1", IRanges(5, 15), "*")) # reads <- GRangesList(GRanges("chr1", IRanges(3, 13), "+")) # res <- findSpliceOverlaps(reads, genes[1]) # checkIdentical(TRUE, .extract(res, "novelTSS")) # res <- suppressWarnings(findSpliceOverlaps(reads, genes[2])) # checkIdentical(logical(0), .extract(res, "novelTSS")) # res <- findSpliceOverlaps(reads, genes[3]) # checkIdentical(TRUE, .extract(res, "novelTSS")) # # ## multiple matches # genes <- GRangesList( # GRanges("chr1", IRanges(15, 20), "+"), # GRanges("chr1", IRanges(10, 20), "+"), # GRanges("chr1", IRanges(5, 20), "+")) # reads <- GRangesList(GRanges("chr1", IRanges(5, 20), "+")) # res <- findSpliceOverlaps(reads, genes[1]) # checkIdentical(TRUE, .extract(res, "novelTSS")) # res <- findSpliceOverlaps(reads, genes[1:2]) # checkIdentical(c(TRUE, TRUE), .extract(res, "novelTSS")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(c(FALSE, FALSE, FALSE), .extract(res, "novelTSS")) # # ## gaps # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 15), c(10, 20)), "+")) # reads <- GRangesList( # GRanges("chr1", IRanges(12, 23), "+"), # GRanges("chr1", IRanges(3, 18), "+")) # res <- findSpliceOverlaps(reads[1], genes) # checkIdentical(FALSE, .extract(res, "novelTSS")) # res <- findSpliceOverlaps(reads[2], genes) # checkIdentical(TRUE, .extract(res, "novelTSS")) #} # #test_findSpliceOverlaps_novelTSE <- function() #{ # ## strand # genes <- GRangesList( # GRanges("chr1", IRanges(5, 15), "+"), # GRanges("chr1", IRanges(5, 15), "-"), # GRanges("chr1", IRanges(5, 15), "*")) # reads <- GRangesList(GRanges("chr1", IRanges(12, 18), "+")) # res <- findSpliceOverlaps(reads, genes[1]) # checkIdentical(TRUE, .extract(res, "novelTSE")) # res <- findSpliceOverlaps(reads, genes[2]) # checkIdentical(logical(0), .extract(res, "novelTSE")) # res <- findSpliceOverlaps(reads, genes[3]) # checkIdentical(TRUE, .extract(res, "novelTSE")) # # ## multiple matches # genes <- GRangesList( # GRanges("chr1", IRanges(5, 15), "+"), # GRanges("chr1", IRanges(5, 20), "+"), # GRanges("chr1", IRanges(5, 25), "+")) # reads <- GRangesList(GRanges("chr1", IRanges(5, 25), "+")) # res <- findSpliceOverlaps(reads, genes[1]) # checkIdentical(TRUE, .extract(res, "novelTSE")) # res <- findSpliceOverlaps(reads, genes[1:2]) # checkIdentical(c(TRUE, TRUE), .extract(res, "novelTSE")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(c(FALSE, FALSE, FALSE), .extract(res, "novelTSE")) # # ## gaps # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 15), c(10, 20)), "+")) # reads <- GRangesList( # GRanges("chr1", IRanges(2, 12), "+"), # GRanges("chr1", IRanges(18, 23), "+")) # res <- findSpliceOverlaps(reads[1], genes) # checkIdentical(FALSE, .extract(res, "novelTSE")) # res <- findSpliceOverlaps(reads[2], genes) # checkIdentical(TRUE, .extract(res, "novelTSE")) #} # #test_findSpliceOverlaps_novelExon <- function() #{ # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+")) # ## 'within' intron boundaries # reads <- GRangesList( # GRanges("chr1", IRanges(c(7, 12, 20), c(10, 18, 23)), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(TRUE, .extract(res, "novelExon")) # # ## FIXME :currently TRUE # ## Do we want a novel exon to be completely w/in? # reads <- GRangesList( # GRanges("chr1", IRanges(c(5, 9, 20), c(7, 12, 23)), "+"), # GRanges("chr1", IRanges(c(7, 15, 23), c(10, 21, 25)), "+")) # res <- findSpliceOverlaps(reads[1], genes) # checkIdentical(TRUE, .extract(res, "novelExon")) # res <- findSpliceOverlaps(reads[2], genes) # checkIdentical(TRUE, .extract(res, "novelExon")) # # ## region not 'intronic' in all transcripts # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+"), # GRanges("chr1", IRanges(c(5, 20), c(15, 25)), "+")) # reads <- GRangesList( # GRanges("chr1", IRanges(c(7, 12, 20), c(10, 18, 23)), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(c(FALSE, FALSE), .extract(res, "novelExon")) #} # #test_findSpliceOverlaps_novelRetention <- function() #{ # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+")) # ## 'within' intron boundaries # reads <- GRangesList( # GRanges("chr1", IRanges(c(7, 12, 20), c(10, 18, 23)), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(TRUE, .extract(res, "novelRetention")) # # ## exact match to intron boundaries # ## (no overlap between 'reads' and 'genes') # reads <- GRangesList( # GRanges("chr1", IRanges(11, 19), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(logical(0), .extract(res, "compatible")) # # ## overlap and span intron boundaries # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20, 30), c(10, 25, 35)), "+")) # reads <- GRangesList( # GRanges("chr1", IRanges(5, 12), "+"), # GRanges("chr1", IRanges(18, 23), "+"), # GRanges("chr1", IRanges(c(4, 30), c(26, 36)), "+")) # res <- findSpliceOverlaps(reads[1], genes) ## no read gaps # checkIdentical(TRUE, .extract(res, "novelRetention")) # res <- findSpliceOverlaps(reads[3], genes) ## read gaps # checkIdentical(TRUE, .extract(res, "novelRetention")) # # ## FIXME : hits a portion of the intronic region # ## but is not completely 'within' # ## region is not 'intronic' in all transcripts # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+"), # GRanges("chr1", IRanges(c(5, 20), c(15, 25)), "+")) # reads <- GRangesList( # GRanges("chr1", IRanges(4, 26), "+")) # res <- findSpliceOverlaps(reads[1], genes) # checkIdentical(c(TRUE, TRUE), .extract(res, "novelRetention")) #} # #test_findSpliceOverlaps_novelSite <- function() #{ # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 15), c(10, 20)), "+")) # ## single novel site, novel junction # reads <- GRangesList( # GRanges("chr1", IRanges(c(5, 15), c(7, 20)), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(TRUE, .extract(res, "novelSite")) # checkIdentical(TRUE, .extract(res, "novelJunction")) # # ## two novel sites, novel junction # reads <- GRangesList( # GRanges("chr1", IRanges(c(5, 17), c(7, 20)), "+")) # res <- findSpliceOverlaps(reads, genes) # checkIdentical(TRUE, .extract(res, "novelSite")) # checkIdentical(TRUE, .extract(res, "novelJunction")) #} # #test_findSpliceOverlaps_novelJunction <- function() #{ # ## novel junction, no novel sites # genes <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+"), # GRanges("chr1", IRanges(c(5, 22), c(15, 25)), "+")) # # ## query = GRanges # reads <- GRangesList( # GRanges("chr1", IRanges(c(5, 20), c(15, 25)), "+")) # GRres <- findSpliceOverlaps(reads, genes) # checkIdentical(c(TRUE, TRUE), .extract(GRres, "novelJunction")) # checkIdentical(c(FALSE, FALSE), .extract(GRres, "novelSite")) # # ## query = GAlignments # gal <- GAlignments("chr1", 5L, "11M4N6M", strand("+")) # GALres <- findSpliceOverlaps(gal, genes) # checkIdentical(c(TRUE, TRUE), .extract(GALres, "novelJunction")) # checkIdentical(c(FALSE, FALSE), .extract(GALres, "novelSite")) # # ## query = GAlignmentPairs # gal1 <- GAlignments("chr1", 5L, "11M4N6M", strand("+")) # gal2 <- GAlignments("chr1", 50L, "6M", strand("-")) # galp <- GAlignmentPairs(gal1, gal2, TRUE) # GALPres <- findSpliceOverlaps(galp, genes) # checkIdentical(c(TRUE, TRUE), .extract(GALPres, "novelJunction")) # checkIdentical(c(FALSE, FALSE), .extract(GALPres, "novelSite")) #} GenomicRanges/inst/unitTests/test_inter-range-methods.R0000644000126300012640000000417112227070336024700 0ustar00biocbuildphs_compbiomake_test_GRanges <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } test_GenomicRanges_inter_interval_ops <- function() { ## gaps gr <- unname(make_test_GRanges())[ , character(0)] checkIdentical(gaps(gr, start = 1, end = 10), GRanges(seqnames = Rle(c("chr1", "chr2", "chr3"), c(2, 3, 3)), ranges = IRanges(start=1, end=c(5, 4, 1, 10, 3, 6, 8, 10)), strand = strand(c("+", "*", "+", "-", "*", "+", "-", "*")))) ## range gr <- unname(make_test_GRanges())[ , character(0)] checkIdentical(range(gr), GRanges(seqnames = Rle(c("chr1", "chr2", "chr3"), c(3, 2, 2)), ranges = IRanges(start=c(6, 1, 5, 2, 4, 7, 9), end=10), strand = strand(c("+", "-", "*", "+", "*", "+", "-")))) checkTrue(validObject(range(gr, ignore.strand=TRUE))) ## reduce gr <- unname(make_test_GRanges())[ , character(0)] checkIdentical(reduce(gr), GRanges(seqnames = Rle(c("chr1", "chr2", "chr3"), c(3, 2, 2)), ranges = IRanges(start=c(6, 1, 5, 2, 4, 7, 9), end=10), strand = strand(c("+", "-", "*", "+", "*", "+", "-")))) ## disjoin gr <- unname(make_test_GRanges())[ , character(0)] checkIdentical(disjoin(gr), GRanges(seqnames = Rle(c("chr1", "chr2", "chr3"), c(3, 3, 4)), ranges = IRanges(start=c(6, 1, 5, 2, 3, 4, 7, 8, 9, 10), end=c(10, 10, 10, 2, 10, 10, 7, 10, 9, 10)), strand = strand(c("+", "-", "*", "+", "+", "*", "+", "+", "-", "-")))) } GenomicRanges/inst/unitTests/test_intra-range-methods.R0000644000126300012640000001433712227070336024701 0ustar00biocbuildphs_compbiomake_test_GRanges <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } test_GenomicRanges_shift <- function() { ## empty, reversibility, recycling 'x' gr <- make_test_GRanges() checkIdentical(shift(GRanges(), 10), GRanges()) checkIdentical(gr, shift(shift(gr, 10), -10)) x <- 1:2 checkIdentical(start(shift(gr[1:4], x)), start(gr[1:4]) + x) ## no seqlength or circularity checkIdentical(start(gr) + 10L, start(shift(gr, 10))) checkIdentical(width(gr), width(shift(gr, 10))) gr <- GRanges("chrA", IRanges(20, 30)) checkIdentical(IRanges(8, 18), ranges(shift(gr, -12))) checkIdentical(IRanges(98, 108), ranges(shift(gr, 78))) ## seqlength and circularity combos gr <- GRanges("chr1", IRanges(5, width=6)) isCircular(gr) <- TRUE checkIdentical(start(shift(gr, -10)), -5L) seqlengths(gr) <- 20 isCircular(gr) <- NA warn <- FALSE res <- withCallingHandlers({ shift(gr, -10) }, warning=function(w) { warn <<- TRUE invokeRestart("muffleWarning") }) checkTrue(warn == TRUE) checkIdentical(start(res), -5L) isCircular(gr) <- FALSE warn <- FALSE res <- withCallingHandlers({ shift(gr, -10) }, warning=function(w) { warn <<- TRUE invokeRestart("muffleWarning") }) checkTrue(warn == TRUE) checkIdentical(start(res), -5L) } test_GenomicRanges_trim <- function() { checkIdentical(trim(GRanges()), GRanges()) ## no seqlengths gr <- make_test_GRanges() checkIdentical(trim(gr), gr) ## seqlengths, isCircular NA and FALSE seqlengths(gr) <- c(10, NA, 20) spos <- suppressWarnings(shift(gr, 5)) tend <- end(trim(spos)) checkIdentical(tend, c(10L, rep(15L, 3), 10L, 10L, rep(15L, 4))) isCircular(gr)["chr1"] <- FALSE spos <- suppressWarnings(shift(gr, 5)) tend <- end(trim(spos)) checkIdentical(tend, c(10L, rep(15L, 3), 10L, 10L, rep(15L, 4))) ## seqlengths, isCircular TRUE gr <- make_test_GRanges() seqlengths(gr) <- c(10, NA, 20) isCircular(gr)["chr1"] <- TRUE spos <- suppressWarnings(shift(gr, 5)) tend <- end(trim(spos)) checkIdentical(tend, end(spos)) spos <- suppressWarnings(shift(gr, 15)) tend <- end(trim(spos)) checkIdentical(tend, c(rep(25L, 6), rep(20L, 4))) isCircular(gr)["chr3"] <- TRUE spos <- suppressWarnings(shift(gr, 15)) tend <- end(trim(spos)) checkIdentical(tend, end(spos)) } test_GenomicRanges_flank <- function() { gr <- make_test_GRanges() flanked <- flank(gr, 10) checkIdentical(rep(10L, length(gr)), width(flanked)) checkIdentical(ifelse(as.vector(strand(gr) != "-"), start(gr) - 10L, end(gr) + 1L), start(flanked)) flanked <- flank(gr, 10, FALSE) checkIdentical(rep(10L, length(gr)), width(flanked)) checkIdentical(ifelse(as.vector(strand(gr) != "-"), end(gr) + 1L, start(gr) - 10L), start(flanked)) } test_GenomicRanges_promoters <- function() { checkTrue(length(promoters(GRanges())) == 0) ## upstream / downstream gr <- GRanges("chr1", IRanges(c(5, 10), width=1), "+") target <- GRanges("chr1", IRanges(c(5, 10), width=0), "+") current <- promoters(gr, 0, 0) checkIdentical(target, current) strand(gr) <- c("+", "-") target <- IRanges(c(3, 11), width=2) current <- ranges(promoters(gr, 2, 0)) checkIdentical(target, current) target <- IRanges(c(5, 9), width=2) current <- ranges(promoters(gr, 0, 2)) checkIdentical(target, current) gr <- GRanges("chr1", IRanges(0, width=6), "+") target <- GRanges("chr1", IRanges(-3, 2), "+") current <- promoters(gr, 3, 3) checkIdentical(target, current) checkTrue(validObject(current) == TRUE) gr <- GRanges("chr1", IRanges(rep(10, 3), width=6), c("+", "-", "*")) target <- GRanges("chr1", IRanges(c(7, 13, 7), c(12, 18, 12)), c("+", "-", "*")) current <- suppressWarnings(promoters(gr, 3, 3)) checkIdentical(target, current) ## treat "*" as "+" gr <- GRanges("chr1", IRanges(5, width=6), "+") target <- GRanges("chr1", IRanges(2, 7), "+") current <- promoters(gr, 3, 3) checkIdentical(target, current) strand(gr) <- "*" strand(target) <- "*" current <- suppressWarnings(promoters(gr, 3, 3)) checkIdentical(target, current) ## metadata gr <- GRanges("chr1", IRanges(0, width=6), names="A", strand="+", score=99) current <- promoters(gr, 3, 3) checkIdentical(mcols(gr), mcols(current)) checkIdentical(names(gr), names(current)) checkIdentical(seqinfo(gr), seqinfo(current)) } test_GenomicRanges_resize <- function() { gr <- make_test_GRanges() checkException(resize(gr, 10, fix = "middle"), silent = TRUE) checkException(resize(gr, 10, fix = rep("end", 3)), silent = TRUE) resized <- resize(gr, 10) checkIdentical(rep(10L, length(gr)), width(resized)) checkIdentical(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 1L, 1L), start(resized)) checkIdentical(ranges(resize(gr, 10, fix = "center")), IRanges(rep(1:5, each=2), width = 10, names = head(letters, 10))) checkIdentical(ranges(resize(gr, 10, fix = c("start", "end"))), IRanges(c(1L, 1L, 3L, 1L, 5L, 1L, 7L, 1L, 1L, 10L), width = 10, names = head(letters, 10))) } test_GenomicRanges_restrict <- function() { gr <- make_test_GRanges() st <- structure(c(4,5), names = c("chr1", "chr2")) en <- structure(c(8,9), names = c("chr2", "chr3")) res <- restrict(gr, start = st, end = en) checkIdentical(mcols(gr), mcols(res)) checkIdentical(seqnames(gr), seqnames(res)) checkIdentical(seqinfo(gr), seqinfo(res)) target <- IRanges(start=c(4, 5, 5, 5, 5, 6, 7, 8, 9, 10), end = c(10, 8, 8, 8, 10, 10, 9, 9, 9, 9), names=letters[1:10]) checkIdentical(ranges(res), target) } GenomicRanges/inst/unitTests/test_nearest-methods.R0000644000126300012640000002661212227070336024132 0ustar00biocbuildphs_compbioquiet <- suppressWarnings test_GenomicRanges_findNearest0 <- function() { .findNearest <- GenomicRanges:::.GenomicRanges_findNearest0 sentinel <- c(0, 20) subject <- c(5, 15) hits <- .findNearest(10, subject, sentinel, TRUE) checkIdentical(2L, subjectHits(hits)) hits <- .findNearest(10, subject, sentinel, FALSE) checkIdentical(1L, subjectHits(hits)) hits <- .findNearest(5, subject, sentinel, TRUE) checkIdentical(2L, subjectHits(hits)) hits <- .findNearest(15, subject, sentinel, FALSE) checkIdentical(1L, subjectHits(hits)) hits <- .findNearest(5, subject, sentinel, FALSE) checkIdentical(integer(), subjectHits(hits)) hits <- .findNearest(15, subject, sentinel, TRUE) checkIdentical(integer(), subjectHits(hits)) subject <- c(15, 5) hits <- .findNearest(10, subject, sentinel, TRUE) checkIdentical(1L, subjectHits(hits)) hits <- .findNearest(10, subject, sentinel, FALSE) checkIdentical(2L, subjectHits(hits)) } test_GenomicRanges_precede_follow <- function() { ## query on "+" query <- GRanges("A", IRanges(c(1, 5, 10, 15, 20), width=1), "+") subject <- GRanges("A", IRanges(c(5, 15), width=1), "+") hits <- precede(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) hits <- follow(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "-") hits <- precede(query, subject) checkIdentical(rep(NA_integer_, length(query)), hits) hits <- follow(query, subject) checkIdentical(rep(NA_integer_, length(query)), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "*") hits <- precede(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) hits <- follow(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) ## query on "-" query <- GRanges("A", IRanges(c(1, 5, 10, 15, 20), width=1), "-") subject <- GRanges("A", IRanges(c(5, 15), width=1), "-") hits <- precede(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) hits <- follow(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "+") hits <- precede(query, subject) checkIdentical(rep(NA_integer_, length(query)), hits) hits <- follow(query, subject) checkIdentical(rep(NA_integer_, length(query)), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "*") hits <- precede(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) hits <- follow(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) ## query on "*" query <- GRanges("A", IRanges(c(1, 5, 10, 15, 20), width=1), "*") subject <- GRanges("A", IRanges(c(5, 15), width=1), "+") hits <- precede(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) hits <- follow(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "-") hits <- precede(query, subject) checkIdentical(c(NA_integer_, NA_integer_, 1L, 1L, 2L), hits) hits <- follow(query, subject) checkIdentical(c(1L, 2L, 2L, NA_integer_, NA_integer_), hits) subject <- GRanges("A", IRanges(c(5, 15), width=1), "*") hits <- precede(query, subject) checkIdentical(c(1L, 2L, 1L, 1L, 2L), hits) hits <- follow(query, subject) checkIdentical(c(1L, 2L, 1L, 1L, 2L), hits) } test_GenomicRanges_precede_follow_ties <- function() { query <- GRanges("A", IRanges(10, width=1), c("+", "-", "*")) subject <- GRanges("A", IRanges(c(5, 5, 5, 15, 15, 15), width=1), rep(c("+", "-", "*"), 2)) checkIdentical(c(4L, 2L, 2L), precede(query, subject)) checkIdentical(c(1L, 4L, 1L), precede(query, rev(subject))) } test_GenomicRanges_precede_follow_0width <- function() { a <- GRanges("A", IRanges(100, width=0), "*") b <- GRanges("A", IRanges(20, 25), "+") checkIdentical(NA_integer_, precede(a, b)) checkIdentical(1L, precede(b, a)) checkIdentical(1L, follow(a, b)) checkIdentical(NA_integer_, follow(b, a)) checkIdentical(1L, nearest(a, b)) checkIdentical(1L, nearest(b, a)) } test_GenomicRanges_ignore_strand <- function() { query <- GRanges("A", IRanges(10, width=1), c("+", "-", "*")) subject <- GRanges("A", IRanges(c(5, 5, 5, 15, 15, 15), width=1), rep(c("+", "-", "*"), 2)) checkIdentical(c(4L, 4L, 4L), precede(query, subject, ignore.strand=TRUE)) checkIdentical(c(1L, 1L, 1L), precede(query, rev(subject),ignore.strand=TRUE)) } test_GenomicRanges_nearest <- function() { ## adjacent r <- IRanges(c(1,6), c(5,10)) g <- GRanges("chr1", r, "+") checkEquals(follow(r), follow(g)) checkEquals(precede(r), precede(g)) checkEquals(nearest(r), nearest(g)) checkEquals(follow(r,r), follow(g,g)) checkEquals(precede(r,r), precede(g,g)) checkEquals(nearest(r,r), nearest(g,g)) g <- GRanges("chr1", r, "-") checkEquals(follow(r), precede(g)) checkEquals(precede(r), follow(g)) checkEquals(nearest(r), nearest(g)) checkEquals(follow(r,r), precede(g,g)) checkEquals(precede(r,r), follow(g,g)) checkEquals(nearest(r,r), nearest(g,g)) g <- GRanges("chr1", r, "*") checkEquals(follow(g), precede(g)) checkEquals(nearest(r), nearest(g)) checkEquals(follow(g,g), precede(g,g)) checkEquals(nearest(r,r), nearest(g,g)) ## separated by 1 r <- IRanges(c(1,7), c(5,11)) g <- GRanges("chr1", r, "+") checkEquals(follow(r), follow(g)) checkEquals(precede(r), precede(g)) checkEquals(nearest(r), nearest(g)) checkEquals(nearest(r,r), nearest(g,g)) g <- GRanges("chr1", r, "-") checkEquals(follow(r), precede(g)) checkEquals(precede(r), follow(g)) checkEquals(nearest(r), nearest(g)) checkEquals(nearest(r,r), nearest(g,g)) g <- GRanges("chr1", r, "*") checkEquals(follow(g), precede(g)) checkEquals(nearest(r), nearest(g)) checkEquals(nearest(r,r), nearest(g,g)) ## separated by > 1 r <- IRanges(c(1,5,10), c(2,7,12)) g <- GRanges("chr1", r, "+") checkEquals(precede(r), precede(g)) checkEquals(follow(r), follow(g)) checkEquals(nearest(r), nearest(g)) g <- GRanges("chr1", r, "-") checkEquals(follow(r), precede(g)) checkEquals(precede(r), follow(g)) checkEquals(nearest(r), nearest(g)) g <- GRanges("chr1", r, "*") checkEquals(follow(g), precede(g)) checkEquals(nearest(r), follow(g)) checkEquals(follow(g), nearest(g)) ## overlapping r <- IRanges(c(1,4,8), c(6,10,12)) g <- GRanges("chr1", r, "+") checkEquals(nearest(r), nearest(g)) checkEquals(c(2, 3, 3), nearest(g, g)) checkEquals(c(3, 3, 2), nearest(g, rev(g))) g <- GRanges("chr1", r, "-") checkEquals(nearest(r), nearest(g)) checkEquals(c(2, 3, 3), nearest(g, g)) checkEquals(c(3, 3, 2), nearest(g, rev(g))) g <- GRanges("chr1", r, "*") checkEquals(nearest(r), nearest(g)) checkEquals(c(2, 3, 3), nearest(g, g)) checkEquals(c(3, 3, 2), nearest(g, rev(g))) q <- GRanges("chr1", IRanges(1, 15), "+") s <- GRanges("chr1", IRanges(c(1, 1, 10), c(5, 15, 15)), "+") target <- nearest(q, s, select="arbitrary") checkEquals(3, target) strand(q) <- "-" strand(s) <- "-" target <- nearest(q, s, select="arbitrary") checkEquals(3, target) target1 <- nearest(ranges(q), ranges(s), select="all") target2 <- nearest(q, s, select="all") checkEquals(target1, target2) ## select = 'all' q <- GRanges("chr1", IRanges(1, 1)) s <- GRanges("chr1", IRanges(5, 5), strand="-") target1 <- nearest(ranges(q), ranges(s), select="all") target2 <- nearest(q, s, select="all") checkEquals(target1, target2) ## ignore.strand q <- GRanges("chr1", IRanges(5, width=1), "+") s <- GRanges("chr1", IRanges(c(10, 8), width=1), "-") res <- nearest(q, s, ignore.strand=FALSE) checkEquals(res, NA_integer_) res <- nearest(q, s, ignore.strand=TRUE) checkEquals(res, 2L) q <- GRanges("chr1", IRanges(5, 5)) s <- GRanges("chr1", IRanges(c(6,7), c(6,7)), c("+", "-")) checkEquals(nearest(q, s), 1L) q <- GRanges("chr1", IRanges(105, 105), "-") s <- GRanges("chr1", IRanges(c(1,120), c(100, 125)), c("-", "-")) pos <- nearest(q, s, ignore.strand=TRUE) neg <- nearest(q, s, ignore.strand=FALSE) checkEquals(pos, neg) } test_GenomicRanges_distance <- function() { ## empty checkException(quiet(distance(GRanges())), silent=TRUE) checkIdentical(quiet(distance(GRanges(), GRanges())), integer()) g1 <- GRanges(seqnames = c(rep("chr1", 3), rep("chr2", 2)), ranges = IRanges(rep(1, 5), width=3), strand = c("+", "-", "*", "*", "*")) g2 <- GRanges(seqnames = c(rep("chr1", 3), rep("chr2", 2)), ranges = IRanges(rep(5, 5), width=3), strand = c("+", "-", "*", "-", "+")) current <- quiet(distance(g1, g2)) target <- rep(1L, length(current)) checkIdentical(current, target) strand(g2[1]) <- "-" current <- quiet(distance(g1[1], g2[1])) checkTrue(is.na(current)) seqnames(g2[4]) <- factor("chr1", levels=c("chr1", "chr2")) current <- quiet(distance(g1[4], g2[4])) checkTrue(is.na(current)) ## adjacent, overlap, separated by 1 query <- GRanges("A", IRanges(c(1, 3, 9), c(2, 7, 10))) subject <- GRanges("A", IRanges(c(3, 5, 12), c(3, 6, 12))) checkIdentical(quiet(distance(query, subject)), c(0L, 0L, 1L)) ## recycling checkIdentical(quiet(distance(query[1:2], subject)), c(0L, 0L, 9L)) ## zero-width target <- abs(-3:3) current <- sapply(-3:3, function(i) quiet(distance(shift(IRanges(4,3), i), IRanges(4,3)))) checkIdentical(current, target) query <- GRanges("A", IRanges(4,3)) subject <- GRanges("A", IRanges(3,4)) current <- quiet(distance(query, subject)) checkIdentical(current, 0L) } test_GenomicRanges_distanceToNearest <- function() { target <- DataFrame(queryHits=integer(), subjectHits=integer(), distance=integer()) current <- quiet(distanceToNearest(GRanges())) checkIdentical(current, target) x <- GRanges("chr1", IRanges(c(1, 5, 10), width=1)) subject <- GRanges("chr1", IRanges(c(3, 12), width=1)) current <- quiet(distanceToNearest(x, subject)) target <- c(1L, 1L, 2L) checkIdentical(target, subjectHits(current)) strand(x) <- "+" strand(subject) <- c("+", "-") current <- quiet(distanceToNearest(x, subject)) target <- c(1L, 1L, 1L) checkIdentical(target, subjectHits(current)) current <- quiet(distanceToNearest(x, subject, ignore.strand=TRUE)) target <- c(1L, 1L, 2L) checkIdentical(target, subjectHits(current)) ## no self-hits / self-hits current <- quiet(distanceToNearest(x)) target <- c(2L, 1L, 2L) checkIdentical(target, subjectHits(current)) current <- quiet(distanceToNearest(x, x)) target <- c(1L, 2L, 3L) checkIdentical(target, subjectHits(current)) ## retain NAs x <- GRanges(c("chr1", "chr2"), IRanges(c(1, 5), width=1)) current <- quiet(distanceToNearest(x, x[1])) checkIdentical(c(1L, NA), subjectHits(current)) checkIdentical(c(0L, NA), mcols(current)$distance) } GenomicRanges/inst/unitTests/test_setops-methods.R0000644000126300012640000001326612227070336024007 0ustar00biocbuildphs_compbiomake_test_GRanges <- function() { new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3"), levels = paste("chr", 1:5, sep = "")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:5, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))) } make_test_GRangesList <- function() { suppressWarnings(GRangesList( a = new("GRanges", seqnames = Rle(factor(c("chr1", "chr2", "chr1", "chr3")), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters, 10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqinfo = Seqinfo(seqnames = paste("chr", 1:3, sep="")), elementMetadata = DataFrame(score = 1:10, GC = seq(1, 0, length=10))), b = new("GRanges", seqnames = Rle(factor(c("chr2", "chr4", "chr5")), c(3, 6, 4)), ranges = IRanges(1:13, width = 13:1, names = tail(letters, 13)), strand = Rle(strand(c("-", "+", "-")), c(4, 5, 4)), seqinfo = Seqinfo(seqnames = paste("chr", c(2L, 4:5), sep="")), elementMetadata = DataFrame(score = 1:13, GC = seq(0, 1, length=13))))) } test_union <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() checkException(union(gr, grlist), silent = TRUE) checkException(union(grlist, gr), silent = TRUE) checkException(union(grlist, grlist), silent = TRUE) expect <- gr mcols(expect) <- NULL expect <- reduce(gr) checkIdentical(union(gr, gr), expect) checkIdentical(union(grlist[[1]], grlist[[2]]), reduce(unlist(grlist))) } test_intersect <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() checkException(intersect(gr, grlist), silent = TRUE) checkException(intersect(grlist, gr), silent = TRUE) checkException(intersect(grlist, grlist), silent = TRUE) expect <- gr mcols(expect) <- NULL expect <- reduce(gr) checkIdentical(intersect(gr, gr), expect) checkIdentical(union(grlist[[1]], grlist[[2]]), reduce(unlist(grlist))) gr1 <- GRanges(seqnames = c("chr1", "chr2", "chr3", "chr4"), ranges = IRanges(1:4, width = 10), strand = c("-", "+", "+", "+")) gr2 <- GRanges(seqnames = c("chr1", "chr2", "chr5", "chr6"), ranges = IRanges(1:4, width = 10), strand = c("-", "+", "+", "+")) expect <- GRanges(seqnames = factor(c("chr1", "chr2"), levels = paste("chr", 1:6, sep = "")), ranges = IRanges(1:2, width = 10), strand = c("-", "+")) checkIdentical(suppressWarnings(intersect(gr1, gr2)), expect) } test_setdiff <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() checkException(setdiff(gr, grlist), silent = TRUE) checkException(setdiff(grlist, gr), silent = TRUE) checkException(setdiff(grlist, grlist), silent = TRUE) expect <- GRanges(seqnames(gr)[integer(0)], seqlengths = seqlengths(gr)) checkIdentical(setdiff(gr, gr), expect) checkIdentical(setdiff(grlist[[1]], grlist[[2]]), reduce(grlist[[1]])) gr1 <- GRanges(seqnames = c("chr1", "chr2", "chr3", "chr4"), ranges = IRanges(1:4, width = 10), strand = c("-", "+", "+", "+")) gr2 <- GRanges(seqnames = c("chr1", "chr2", "chr5", "chr6"), ranges = IRanges(1:4, width = 10), strand = c("-", "+", "+", "+")) expect <- GRanges(seqnames = factor(c("chr3", "chr4"), levels = paste("chr", 1:6, sep = "")), ranges = IRanges(3:4, width = 10), strand = c("+", "+")) checkIdentical(suppressWarnings(setdiff(gr1, gr2)), expect) } test_punion <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() checkException(punion(grlist, grlist), silent = TRUE) expect <- gr mcols(expect) <- NULL checkIdentical(punion(gr, gr), expect) } test_pintersect <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() expect <- reduce(grlist) mcols(expect) <- NULL checkIdentical(pintersect(grlist, grlist), expect) expect <- gr mcols(expect) <- NULL checkIdentical(pintersect(gr, gr), expect) checkIdentical(pintersect(gr[1:2], grlist), pintersect(grlist, gr[1:2])) expect <- GRangesList(a = GRanges(factor(c("chr2", "chr2", "chr2"), levels = paste("chr", 1:5, sep = "")), IRanges(c(4,4,4), c(10,10,10), names = letters[2:4]), c("+", "+", "*")), b = GRanges()) checkIdentical(pintersect(gr[4:5], grlist), expect) } test_psetdiff <- function() { gr <- make_test_GRanges() grlist <- make_test_GRangesList() checkException(psetdiff(grlist, gr), silent = TRUE) expect <- gr width(expect) <- 0L mcols(expect) <- NULL checkIdentical(psetdiff(gr, gr), expect) expect <- gr mcols(expect) <- NULL strand(expect) <- Rle(c("-", "+", "-"), c(1, 7, 2)) end(expect)[5:6] <- c(5, 5) checkIdentical(psetdiff(gr, rev(gr)), expect) expect <- GRangesList(a = GRanges(), b = GRanges(factor("chr2", levels = paste("chr", 1:5, sep = "")), IRanges(2, 10), "+")) checkIdentical(psetdiff(gr[1:2], grlist[1:2]), expect) } GenomicRanges/inst/unitTests/test_summarizeOverlaps-methods.R0000644000126300012640000003026412227070336026217 0ustar00biocbuildphs_compbio.getCounts <- function(res) { as.integer(assays(res)$counts) } quiet <- suppressMessages gr <- GRanges(c(rep("chr1", 7), rep("chr2", 4)), IRanges(c(1000, 3000, 3600, 4000, 4000, 5000, 5400, 2000, 3000, 7000, 7500), width = c(500, 500, 300, 500, 900, 500, 500, 900, 500, 600, 300)), "+", group = c("A", "B", "C", "C", "D", "D", "E", "F", "G", "H", "H")) rds <- GAlignments(c(rep(c("chr1", "chr2"), 3), "chr1"), as.integer(c(1400, 2700, 3400, 7100, 4000, 3100, 5200)), c("500M", "100M", "300M", "500M", "300M", "50M200N50M", "50M150N50M"), strand(rep("+", 7))) test_summarizeOverlaps_Union_single <- function() { ## single-end no gaps mode <- "Union" ga <- GAlignments("chr1", 20L, "11M", strand("+")) ann <- GRanges("chr1", IRanges(c(1, 10, 25, 22), c(50, 25, 40, 26)), "+") res <- summarizeOverlaps(ann[1], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[2], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[3], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[4], ga, mode) checkIdentical(1L, .getCounts(res)) ## >1 feature res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 0L, 0L, 0L), .getCounts(res)) } test_summarizeOverlaps_Union_paired <- function() { ## single-end with gaps behave like paired-end mode <- "Union" ga <- GAlignments("chr1", 1L, "10M4N11M", strand("+")) ga1 <- GAlignments("chr1", 1L, "10M", strand("+")) ga2 <- GAlignments("chr1", 15L, "11M", strand("-")) galp <- GAlignmentPairs(ga1, ga2, TRUE) ann <- GRanges("chr1", IRanges(c(1, 5, 12, 20), c(25, 20, 14, 30)), "+") res_ga <- summarizeOverlaps(ann[1], ga, mode) res_galp <- summarizeOverlaps(ann[1], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[2], ga, mode) res_galp <- summarizeOverlaps(ann[2], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[3], ga, mode) res_galp <- summarizeOverlaps(ann[3], galp, mode) checkIdentical(0L, .getCounts(res_ga)) checkIdentical(0L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[4], ga, mode) res_galp <- summarizeOverlaps(ann[4], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) ## >1 feature res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 0L, 0L, 0L), .getCounts(res_ga)) checkIdentical(c(0L, 0L, 0L, 0L), .getCounts(res_galp)) } test_summarizeOverlaps_IntersectionStrict_single <- function() { ## single-end, no gaps mode <- "IntersectionStrict" ga <- GAlignments("chr1", 7L, "6M", strand("+")) ann <- GRanges("chr1", IRanges(c(1, 5, 10), width=10), "+") res <- summarizeOverlaps(ann[1], ga, mode) checkIdentical(0L, .getCounts(res)) res <- summarizeOverlaps(ann[2], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[3], ga, mode) checkIdentical(0L, .getCounts(res)) ## >1 feature ann <- GRanges("chr1", IRanges(c(5, 6, 10), c(15, 16, 15)), "+") res <- summarizeOverlaps(ann[1:2], ga, mode) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ann[c(1,3)], ga, mode) checkIdentical(c(1L, 0L), .getCounts(res)) } test_summarizeOverlaps_IntersectionStrict_paired <- function() { ## single-end with gaps behave like paired-end mode <- "IntersectionStrict" ga <- GAlignments("chr1", 10L, "6M4N6M", strand("+")) ga1 <- GAlignments("chr1", 10L, "6M", strand("+")) ga2 <- GAlignments("chr1", 20L, "6M", strand("-")) galp <- GAlignmentPairs(ga1, ga2, TRUE) ann <- GRanges("chr1", IRanges(c(1, 1, 20), c(30, 15, 30)), "+") res_ga <- summarizeOverlaps(ann[1], ga, mode) res_galp <- summarizeOverlaps(ann[1], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[2], ga, mode) res_galp <- summarizeOverlaps(ann[2], galp, mode) checkIdentical(0L, .getCounts(res_ga)) checkIdentical(0L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[3], ga, mode) res_galp <- summarizeOverlaps(ann[3], galp, mode) checkIdentical(0L, .getCounts(res_ga)) checkIdentical(0L, .getCounts(res_galp)) ## >1 feature res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, galp, mode) checkIdentical(c(1L, 0L, 0L), .getCounts(res_ga)) checkIdentical(c(1L, 0L, 0L), .getCounts(res_galp)) } test_summarizeOverlaps_IntersectionNotEmpty_single <- function() { ## single-end, no gaps mode <- "IntersectionNotEmpty" ga <- GAlignments("chr1", 10L, "11M", strand("+")) ann <- GRanges("chr1", IRanges(c(1, 5, 12), c(15, 30, 15)), "+") res <- summarizeOverlaps(ann[1], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[2], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann[3], ga, mode) checkIdentical(1L, .getCounts(res)) res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 1L, 0L), .getCounts(res)) ## >1 feature ann <- GRanges("chr1", IRanges(c(5, 15), c(20, 25)), "+") res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(1L, 0L), .getCounts(res)) ann <- GRanges("chr1", IRanges(c(5, 12), c(18, 25)), "+") res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 0L), .getCounts(res)) ann <- GRanges(rep("chr1", 3), IRanges(c(1L, 20L, 20L), width=c(50, 11, 11)), c("+", "+", "-")) ga <- GAlignments("chr1", 23L, "5M", strand("*")) res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 0L, 0L), .getCounts(res)) strand(ga) <- "-" res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(0L, 0L, 1L), .getCounts(res)) ga <- GAlignments("chr1", 28L, "5M", strand("+")) res <- summarizeOverlaps(ann, ga, mode) checkIdentical(c(1L, 0L, 0L), .getCounts(res)) ## ignore.strand ann <- GRanges("chr1", IRanges(c(5, 1), end=c(10, 6)), strand=c("+", "-")) reads <- GRanges("chr1", IRanges(2, 2), strand="+") checkIdentical(c(0L, 1L), IntersectionNotEmpty(ann, reads, TRUE)) } test_summarizeOverlaps_IntersectionNotEmpty_paired <- function() { ## single-end with gaps behave like paired-end mode <- "IntersectionNotEmpty" ga <- GAlignments("chr1", 10L, "6M4N6M", strand("+")) ga1 <- GAlignments("chr1", 10L, "6M", strand("+")) ga2 <- GAlignments("chr1", 20L, "6M", strand("-")) galp <- GAlignmentPairs(ga1, ga2, TRUE) ann <- GRanges("chr1", IRanges(c(1, 1, 20), c(30, 15, 30)), "+") ## single-end, gaps res_ga <- summarizeOverlaps(ann[1], ga, mode) res_galp <- summarizeOverlaps(ann[1], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[2], ga, mode) res_galp <- summarizeOverlaps(ann[2], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) res_ga <- summarizeOverlaps(ann[3], ga, mode) res_galp <- summarizeOverlaps(ann[3], galp, mode) checkIdentical(1L, .getCounts(res_ga)) checkIdentical(1L, .getCounts(res_galp)) ## > 1 feature res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, galp, mode) checkIdentical(c(0L, 0L, 0L), .getCounts(res_ga)) checkIdentical(c(0L, 0L, 0L), .getCounts(res_galp)) ann <- GRanges("chr1", IRanges(c(1, 2), c(23, 23)), "+") res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, galp, mode) checkIdentical(c(0L, 0L), .getCounts(res_ga)) checkIdentical(c(0L, 0L), .getCounts(res_galp)) ann <- GRanges("chr1", IRanges(c(1, 21), c(23, 30)), "+") res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, galp, mode) checkIdentical(c(0L, 0L), .getCounts(res_ga)) checkIdentical(c(0L, 0L), .getCounts(res_galp)) ann <- GRanges("chr1", IRanges(c(1, 1), c(23, 21)), "+") res_ga <- summarizeOverlaps(ann, ga, mode) res_galp <- summarizeOverlaps(ann, galp, mode) checkIdentical(c(1L, 0L), .getCounts(res_ga)) checkIdentical(c(1L, 0L), .getCounts(res_galp)) } test_summarizeOverlaps_inter.feature_GRanges <- function() { ## rows 5,6,7 from figure in vignette ft <- gr[10:11] rd <- GAlignments(rep("chr2", 3), as.integer(c(7100, 7100, 7500)), c("300M", "500M", "50M"), strand(rep("+", 3))) mode <- "Union" res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=TRUE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=FALSE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=TRUE) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=FALSE) checkIdentical(c(1L, 1L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=TRUE) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=FALSE) checkIdentical(c(1L, 1L), .getCounts(res)) mode <- "IntersectionStrict" res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=TRUE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=FALSE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=TRUE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=FALSE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=TRUE) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=FALSE) checkIdentical(c(1L, 1L), .getCounts(res)) mode <- "IntersectionNotEmpty" res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=TRUE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[1], mode, inter.feature=FALSE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=TRUE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[2], mode, inter.feature=FALSE) checkIdentical(c(1L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=TRUE) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd[3], mode, inter.feature=FALSE) checkIdentical(c(0L, 0L), .getCounts(res)) ## read spans both features rd <- GAlignments("chr2", 7000L, "750M", strand("+")) res <- summarizeOverlaps(ft, rd, mode, inter.feature=TRUE) checkIdentical(c(0L, 0L), .getCounts(res)) res <- summarizeOverlaps(ft, rd, mode, inter.feature=FALSE) checkIdentical(c(1L, 1L), .getCounts(res)) } test_summarizeOverlaps_inter.feature_GRangesList <- function() { grl <- split(gr, mcols(gr)[["group"]]) mode <- "Union" res <- quiet(summarizeOverlaps(grl, rds, mode)) checkIdentical(c(1L, rep(0L, 4), rep(1L, 3)), .getCounts(res)) res <- quiet(summarizeOverlaps(grl, rds, mode, inter.feature=FALSE)) checkIdentical(c(1L, 1L, 2L, 2L, rep(1L, 4)), .getCounts(res)) co <- countOverlaps(grl, rds, type="any") checkIdentical(unname(co), .getCounts(res)) mode <- "IntersectionStrict" res <- quiet(summarizeOverlaps(grl, rds, mode)) checkIdentical(c(0L, 0L, 0L, 1L, 0L, rep(1L, 3)), .getCounts(res)) res <- quiet(summarizeOverlaps(grl, rds, mode, inter.feature=FALSE)) checkIdentical(c(0L, 0L, 1L, 2L, 0L, rep(1L, 3)), .getCounts(res)) co <- countSubjectHits(findOverlaps(rds, grl, type="within")) checkIdentical(unname(co), .getCounts(res)) mode <- "IntersectionNotEmpty" rd <- rds[c(5,7)] ft <- grl[3:5] res <- quiet(summarizeOverlaps(ft, rd, mode)) checkIdentical(c(0L, 1L, 0L), .getCounts(res)) res <- quiet(summarizeOverlaps(ft, rd, mode, inter.feature=FALSE)) checkIdentical(c(0L, 1L, 0L), .getCounts(res)) } GenomicRanges/inst/unitTests/test_utils.R0000644000126300012640000000560512227070336022167 0ustar00biocbuildphs_compbio### test_mergeNamedAtomicVectors <- function() { ## The function is currently not exported. mergeNamedAtomicVectors <- GenomicRanges:::mergeNamedAtomicVectors x <- c(a=1, b=2, c=3, d=NA) checkIdentical(mergeNamedAtomicVectors(x, x), x) y1 <- x[FALSE] checkIdentical(mergeNamedAtomicVectors(x, y1), x) checkIdentical(mergeNamedAtomicVectors(y1, x), x) y2 <- c(c=NA_real_, d=NA_real_, b=NA_real_) checkIdentical(mergeNamedAtomicVectors(x, y2), x) checkIdentical(mergeNamedAtomicVectors(y2, x)[names(x)], x) checkIdentical(mergeNamedAtomicVectors(y2, x)[names(y2)], x[names(y2)]) y3 <- c(c=3, e=NA, d=4, b=2) got <- mergeNamedAtomicVectors(x, y3) want <- c(a=1, b=2, c=3, d=4, e=NA) checkIdentical(got, want) got <- mergeNamedAtomicVectors(y3, x) want <- c(c=3, e=NA, d=4, b=2, a=1) checkIdentical(got, want) y4 <- c(c=0, e=NA, d=4, b=0) checkException(mergeNamedAtomicVectors(x, y4), silent=TRUE) checkException(mergeNamedAtomicVectors(y4, x), silent=TRUE) x2 <- c(a=1, b=NA, c=3, d=NA) y5 <- c(c=NA, e=5, d=4, b=2) got <- mergeNamedAtomicVectors(x2, y5) want <- c(a=1, b=2, c=3, d=4, e=5) checkIdentical(got, want) } test_keepSeqlevels <- function() { gr <- GRanges(c("chr1", "chr1", "chr2", "chr3"), IRanges(1:4, width=3)) ## unnamed checkIdentical("chr1", seqlevels(keepSeqlevels(gr, "chr1"))) got <- seqlevels(keepSeqlevels(gr, c("chr1", "chr3"))) checkIdentical(c("chr1", "chr3"), got) ## named checkIdentical("chr1", seqlevels(keepSeqlevels(gr, c(foo="chr1")))) ## bogus got <- seqlevels(suppressWarnings(keepSeqlevels(gr, "chrX"))) checkIdentical(character(0), got) } test_dropSeqlevels <- function() { gr <- GRanges(c("chr1", "chr1", "chr2", "chr3"), IRanges(1:4, width=3)) ## unnamed checkIdentical(c("chr2", "chr3"), seqlevels(dropSeqlevels(gr, "chr1"))) got <- seqlevels(dropSeqlevels(gr, c("chr1", "chr3"))) checkIdentical("chr2", got) ## named got <- seqlevels(dropSeqlevels(gr, c(foo="chr1"))) checkIdentical(c("chr2", "chr3"), got) ## bogus got <- seqlevels(suppressWarnings(dropSeqlevels(gr, "chrX"))) checkIdentical(seqlevels(gr), got) grl <- split(gr, as.character(seqnames(gr))) got <- dropSeqlevels(grl, c("chr1", "chr2")) checkIdentical("chr3", seqlevels(got)) checkIdentical(1L, length(got)) } test_renameSeqlevels <- function() { gr <- GRanges(c("chr1", "chr1", "chr2", "chr3"), IRanges(1:4, width=3)) checkException(renameSeqlevels(gr, "CHR1"), silent=TRUE) got <- seqlevels(renameSeqlevels(gr, c("chr2", "CHR1", "chr3"))) checkIdentical(c("chr2", "CHR1", "chr3"), got) got <- seqlevels(suppressWarnings(renameSeqlevels(gr, c(foo="chr2")))) checkIdentical(seqlevels(gr), got) got <- seqlevels(renameSeqlevels(gr, c(chr2="CHR2"))) checkIdentical(c("chr1", "CHR2", "chr3"), got) } GenomicRanges/man/0000755000126300012640000000000012232576336015442 5ustar00biocbuildphs_compbioGenomicRanges/man/GAlignmentPairs-class.Rd0000644000126300012640000003602412227070335022055 0ustar00biocbuildphs_compbio\name{GAlignmentPairs-class} \docType{class} % Class: \alias{class:GAlignmentPairs} \alias{GAlignmentPairs-class} % Constructors: \alias{GAlignmentPairs} \alias{readGAlignmentPairs} % Accessors: \alias{length,GAlignmentPairs-method} \alias{names,GAlignmentPairs-method} \alias{names<-,GAlignmentPairs-method} \alias{first} \alias{first,GAlignmentPairs-method} \alias{last} \alias{last,GAlignmentPairs-method} \alias{left} \alias{left,GAlignmentPairs-method} \alias{right} \alias{right,GAlignmentPairs-method} \alias{seqnames,GAlignmentPairs-method} \alias{strand,GAlignmentPairs-method} \alias{strand<-,GAlignmentPairs-method} \alias{ngap,GAlignmentPairs-method} \alias{isProperPair} \alias{isProperPair,GAlignmentPairs-method} \alias{elementMetadata<-,GAlignmentPairs-method} \alias{seqinfo,GAlignmentPairs-method} \alias{seqlevelsInUse,GAlignmentPairs-method} \alias{seqinfo<-,GAlignmentPairs-method} % List methods: \alias{[[,GAlignmentPairs,ANY,ANY-method} \alias{unlist,GAlignmentPairs-method} % Coercion: \alias{grglist,GAlignmentPairs-method} \alias{granges,GAlignmentPairs-method} \alias{introns,GAlignmentPairs-method} \alias{coerce,GAlignmentPairs,GRangesList-method} \alias{coerce,GAlignmentPairs,GRanges-method} \alias{coerce,GAlignmentPairs,GAlignments-method} % "show" method: \alias{show,GAlignmentPairs-method} % Combining: \alias{c,GAlignmentPairs-method} % Old stuff: \alias{GappedAlignmentPairs} \alias{class:GappedAlignmentPairs} \alias{GappedAlignmentPairs-class} \alias{show,GappedAlignmentPairs-method} \alias{readGappedAlignmentPairs} \title{GAlignmentPairs objects} \description{ The GAlignmentPairs class is a container for "genomic alignment pairs". } \details{ A GAlignmentPairs object is a list-like object where each element describes a pair of genomic alignment. An "alignment pair" is made of a "first" and a "last" alignment, and is formally represented by a \link{GAlignments} object of length 2. It is typically representing a hit of a paired-end read to the reference genome that was used by the aligner. More precisely, in a given pair, the "first" alignment represents the hit of the first end of the read (aka "first segment in the template", using SAM Spec terminology), and the "last" alignment represents the hit of the second end of the read (aka "last segment in the template", using SAM Spec terminology). In general, a GAlignmentPairs object will be created by loading records from a BAM (or SAM) file containing aligned paired-end reads, using the \code{readGAlignmentPairs} function (see below). Each element in the returned object will be obtained by pairing 2 records. } \section{Constructors}{ \describe{ \item{}{ \code{readGAlignmentPairs(file, format="BAM", use.names=FALSE, ...)}: Read a file containing paired-end reads as a GAlignmentPairs object. By default (i.e. \code{use.names=FALSE}), the resulting object has no names. If \code{use.names} is \code{TRUE}, then the names are constructed from the query template names (QNAME field in a SAM/BAM file). Note that the 2 records in a pair of records have the same QNAME. Note that this function is just a front-end that delegates to the format-specific back-end function specified via the \code{format} argument. The \code{use.names} argument and any extra argument are passed to the back-end function. Only the BAM format is supported for now. Its back-end is the \code{\link[Rsamtools]{readGAlignmentPairsFromBam}} function defined in the Rsamtools package. See \code{?\link[Rsamtools]{readGAlignmentPairsFromBam}} for more information (you might need to install and load the Rsamtools package first). } \item{}{ \code{GAlignmentPairs(first, last, isProperPair, names=NULL)}: Low-level GAlignmentPairs constructor. Generally not used directly. } } } \section{Accessors}{ In the code snippets below, \code{x} is a GAlignmentPairs object. \describe{ \item{}{ \code{length(x)}: Return the number of alignment pairs in \code{x}. } \item{}{ \code{names(x)}, \code{names(x) <- value}: Get or set the names of \code{x}. See \code{readGAlignmentPairs} above for how to automatically extract and set the names from the file to read. } \item{}{ \code{first(x, invert.strand=FALSE)}, \code{last(x, invert.strand=FALSE)}: Get the "first" or "last" alignment for each alignment pair in \code{x}. The result is a \link{GAlignments} object of the same length as \code{x}. If \code{invert.strand=TRUE}, then the strand is inverted on-the-fly, i.e. "+" becomes "-", "-" becomes "+", and "*" remains unchanged. } \item{}{ \code{left(x)}: Get the "left" alignment for each alignment pair in \code{x}. By definition, the "left" alignment in a pair is the alignment that is on the + strand. If this is the "first" alignment, then it's returned as-is by \code{left(x)}, but if this is the "last" alignment, then it's returned by \code{left(x)} with the strand inverted. } \item{}{ \code{right(x)}: Get the "right" alignment for each alignment pair in \code{x}. By definition, the "right" alignment in a pair is the alignment that is on the - strand. If this is the "first" alignment, then it's returned as-is by \code{right(x)}, but if this is the "last" alignment, then it's returned by \code{right(x)} with the strand inverted. } \item{}{ \code{seqnames(x)}: Get the name of the reference sequence for each alignment pair in \code{x}. This comes from the RNAME field of the BAM file and has the same value for the 2 records in a pair (\code{\link[Rsamtools]{makeGAlignmentPairs}}, the function used by \code{\link[Rsamtools]{readGAlignmentPairsFromBam}} for doing the pairing, rejects pairs with incompatible RNAME values). } \item{}{ \code{strand(x)}, \code{strand(x) <- value}: Get or set the strand for each alignment pair in \code{x}. By definition (and in a somewhat arbitrary way) the strand of an alignment pair is the strand of the \emph{"first"} alignment in the pair. In a GAlignmentPairs object, the strand of the "last" alignment in a pair is typically (but not always) the opposite of the strand of the "first" alignment. Note that, currently, \code{\link[Rsamtools]{makeGAlignmentPairs}}, the function used internally by \code{\link[Rsamtools]{readGAlignmentPairsFromBam}} for doing the pairing, rejects pairs where the "first" and "last" alignments are on the same strand, but those pairs might be supported in the future. } \item{}{ \code{ngap(x)}: Equivalent to \code{ngap(first(x)) + ngap(last(x))}. } \item{}{ \code{isProperPair(x)}: Get the "isProperPair" flag bit (bit 0x2 in SAM Spec) set by the aligner for each alignment pair in \code{x}. } \item{}{ \code{seqinfo(x)}, \code{seqinfo(x) <- value}: Get or set the information about the underlying sequences. \code{value} must be a \link{Seqinfo} object. } \item{}{ \code{seqlevels(x)}, \code{seqlevels(x) <- value}: Get or set the sequence levels. \code{seqlevels(x)} is equivalent to \code{seqlevels(seqinfo(x))} or to \code{levels(seqnames(x))}, those 2 expressions being guaranteed to return identical character vectors on a GAlignmentPairs object. \code{value} must be a character vector with no NAs. See \code{?\link{seqlevels}} for more information. } \item{}{ \code{seqlengths(x)}, \code{seqlengths(x) <- value}: Get or set the sequence lengths. \code{seqlengths(x)} is equivalent to \code{seqlengths(seqinfo(x))}. \code{value} can be a named non-negative integer or numeric vector eventually with NAs. } \item{}{ \code{isCircular(x)}, \code{isCircular(x) <- value}: Get or set the circularity flags. \code{isCircular(x)} is equivalent to \code{isCircular(seqinfo(x))}. \code{value} must be a named logical vector eventually with NAs. } \item{}{ \code{genome(x)}, \code{genome(x) <- value}: Get or set the genome identifier or assembly name for each sequence. \code{genome(x)} is equivalent to \code{genome(seqinfo(x))}. \code{value} must be a named character vector eventually with NAs. } \item{}{ \code{seqnameStyle(x)}: Get or set the seqname style for \code{x}. Note that this information is not stored in \code{x} but inferred by looking up \code{seqnames(x)} against a seqname style database stored in the seqnames.db metadata package (required). \code{seqnameStyle(x)} is equivalent to \code{seqnameStyle(seqinfo(x))} and can return more than 1 seqname style (with a warning) in case the style cannot be determined unambiguously. } } } \section{Vector methods}{ In the code snippets below, \code{x} is a GAlignmentPairs object. \describe{ \item{}{ \code{x[i]}: Return a new GAlignmentPairs object made of the selected alignment pairs. } } } \section{List methods}{ In the code snippets below, \code{x} is a GAlignmentPairs object. \describe{ \item{}{ \code{x[[i]]}: Extract the i-th alignment pair as a \link{GAlignments} object of length 2. As expected \code{x[[i]][1]} and \code{x[[i]][2]} are respectively the "first" and "last" alignments in the pair. } \item{}{ \code{unlist(x, use.names=TRUE)}: Return the \link{GAlignments} object conceptually defined by \code{c(x[[1]], x[[2]], ..., x[[length(x)]])}. \code{use.names} determines whether \code{x} names should be propagated to the result or not. } } } \section{Coercion}{ In the code snippets below, \code{x} is a GAlignmentPairs object. \describe{ \item{}{ \code{grglist(x, order.as.in.query=FALSE, drop.D.ranges=FALSE)}: Return a \link{GRangesList} object of length \code{length(x)} where the i-th element represents the ranges (with respect to the reference) of the i-th alignment pair in \code{x}. IMPORTANT: The strand of the ranges coming from the "last" alignment in the pair is \emph{always} inverted. The \code{order.as.in.query} toggle affects the order of the ranges \emph{within} each top-level element of the returned object. If \code{FALSE} (the default), then the "left" ranges are placed before the "right" ranges, and, within each left or right group, are ordered from 5' to 3' in elements associated with the plus strand and from 3' to 5' in elements associated with the minus strand. More formally, the i-th element in the returned \link{GRangesList} object can be defined as \code{c(grl1[[i]], grl2[[i]])}, where \code{grl1} is \code{grglist(left(x))} and \code{grl2} is \code{grglist(right(x))}. If \code{TRUE}, then the "first" ranges are placed before the "last" ranges, and, within each first or last group, are \emph{always} ordered from 5' to 3', whatever the strand is. More formally, the i-th element in the returned \link{GRangesList} object can be defined as \code{c(grl1[[i]], grl2[[i]])}, where \code{grl1} is \code{grglist(first(x), order.as.in.query=TRUE)} and \code{grl2} is \code{grglist(last(x, invert.strand=TRUE), order.as.in.query=TRUE)}. Note that the relationship between the 2 \link{GRangesList} objects obtained with \code{order.as.in.query} being respectively \code{FALSE} or \code{TRUE} is simpler than it sounds: the only difference is that the order of the ranges in elements associated with the \emph{minus} strand is reversed. Finally note that, in the latter, the ranges are \emph{always} ordered consistently with the original "query template", that is, in the order defined by walking the "query template" from the beginning to the end. If \code{drop.D.ranges} is \code{TRUE}, then deletions (Ds in the CIGAR) are treated like gaps (Ns in the CIGAR), that is, the ranges corresponding to deletions are dropped. } \item{}{ \code{granges(x)}: Return a \link{GRanges} object of length \code{length(x)} where each range is obtained by merging all the ranges within the corresponding top-level element in \code{grglist(x)}. } \item{}{ \code{introns(x)}: Extract the gaps (i.e. N operations in the CIGAR) of the "first" and "last" alignments of each pair as a \link{GRangesList} object of the same length as \code{x}. Equivalent to (but faster than): \preformatted{ introns1 <- introns(first(x)) introns2 <- introns(last(x, invert.strand=TRUE)) mendoapply(c, introns1, introns2) } } \item{}{ \code{as(x, "GRangesList")}, \code{as(x, "GRanges")}: Alternate ways of doing \code{grglist(x)} and \code{granges(x)}, respectively. } \item{}{ \code{as(x, "GAlignments")}: Equivalent of \code{unlist(x, use.names=TRUE)}. } } } \section{Other methods}{ In the code snippets below, \code{x} is a GAlignmentPairs object. \describe{ \item{}{ \code{show(x)}: By default the \code{show} method displays 5 head and 5 tail elements. This can be changed by setting the global options \code{showHeadLines} and \code{showTailLines}. If the object length is less than (or equal to) the sum of these 2 options plus 1, then the full object is displayed. Note that these options also affect the display of \link{GRanges} and \link{GAlignments} objects, as well as other objects defined in the IRanges and Biostrings packages (e.g. \link[IRanges]{Ranges} and \link[Biostrings]{XStringSet} objects). } } } \author{ H. Pages } \seealso{ \itemize{ \item \link{GAlignments-class}. \item \code{\link[Rsamtools]{readGAlignmentPairsFromBam}}. \item \code{\link[Rsamtools]{makeGAlignmentPairs}}. \item \link{GRangesList-class}. \item \link{GRanges-class}. \item \link{findOverlaps-methods}. \item \link{coverage-methods}. \item \code{\link{seqinfo}}. } } \examples{ ex1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") galp <- readGAlignmentPairs(ex1_file, use.names=TRUE) galp length(galp) head(galp) head(names(galp)) first(galp) last(galp) last(galp, invert.strand=TRUE) left(galp) right(galp) seqnames(galp) strand(galp) head(ngap(galp)) table(isProperPair(galp)) seqlevels(galp) ## Rename the reference sequences: seqlevels(galp) <- sub("seq", "chr", seqlevels(galp)) seqlevels(galp) galp[[1]] unlist(galp) grglist(galp) # a GRangesList object grglist(galp, order.as.in.query=TRUE) stopifnot(identical(unname(elementLengths(grglist(galp))), ngap(galp) + 2L)) granges(galp) # a GRanges object introns(galp) # a GRangesList object stopifnot(identical(unname(elementLengths(introns(galp))), ngap(galp))) } \keyword{methods} \keyword{classes} GenomicRanges/man/GAlignments-class.Rd0000644000126300012640000004654012227070335021245 0ustar00biocbuildphs_compbio\name{GAlignments-class} \docType{class} % Class: \alias{class:GAlignments} \alias{GAlignments-class} % Constructors: \alias{GAlignments} \alias{updateObject,GAlignments-method} \alias{readGAlignments} % Accessors: \alias{length,GAlignments-method} \alias{names,GAlignments-method} \alias{seqnames,GAlignments-method} \alias{rname} \alias{rname,GAlignments-method} \alias{strand,GAlignments-method} \alias{names<-,GAlignments-method} \alias{seqnames<-,GAlignments-method} \alias{rname<-} \alias{rname<-,GAlignments-method} \alias{strand<-,GAlignments-method} \alias{cigar} \alias{cigar,GAlignments-method} \alias{qwidth} \alias{qwidth,GAlignments-method} \alias{start,GAlignments-method} \alias{end,GAlignments-method} \alias{width,GAlignments-method} \alias{ngap,GAlignments-method} \alias{elementMetadata<-,GAlignments-method} \alias{seqinfo,GAlignments-method} \alias{seqinfo<-,GAlignments-method} % Coercion: \alias{grglist} \alias{granges} \alias{introns} \alias{rglist} \alias{grglist,GAlignments-method} \alias{granges,GAlignments-method} \alias{introns,GAlignments-method} \alias{rglist,GAlignments-method} \alias{ranges,GAlignments-method} \alias{coerce,GAlignments,GRangesList-method} \alias{coerce,GAlignments,GRanges-method} \alias{coerce,GAlignments,RangesList-method} \alias{coerce,GAlignments,Ranges-method} \alias{as.data.frame,GAlignments-method} % Combining: \alias{c,GAlignments-method} % "show" method: \alias{show,GAlignments-method} % Other methods: \alias{qnarrow} \alias{qnarrow,GAlignments-method} \alias{splitAsListReturnedClass,GAlignments-method} % Old stuff: \alias{GappedAlignments} \alias{class:GappedAlignments} \alias{GappedAlignments-class} \alias{show,GappedAlignments-method} \alias{readGappedAlignments} \title{GAlignments objects} \description{ The GAlignments class is a simple container which purpose is to store a set of genomic alignments that will hold just enough information for supporting the operations described below. } \details{ A GAlignments object is a vector-like object where each element describes a genomic alignment i.e. how a given sequence (called "query" or "read", typically short) aligns to a reference sequence (typically long). Typically, a GAlignments object will be created by loading records from a BAM (or SAM) file and each element in the resulting object will correspond to a record. BAM/SAM records generally contain a lot of information but only part of that information is loaded in the GAlignments object. In particular, we discard the query sequences (SEQ field), the query qualities (QUAL), the mapping qualities (MAPQ) and any other information that is not needed in order to support the operations or methods described below. This means that multi-reads (i.e. reads with multiple hits in the reference) won't receive any special treatment i.e. the various SAM/BAM records corresponding to a multi-read will show up in the GAlignments object as if they were coming from different/unrelated queries. Also paired-end reads will be treated as single-end reads and the pairing information will be lost (see \code{?\link{GAlignmentPairs}} for how to handle aligned paired-end reads). Each element of a GAlignments object consists of: \itemize{ \item The name of the reference sequence. (This is the RNAME field in a SAM/BAM record.) \item The strand in the reference sequence to which the query is aligned. (This information is stored in the FLAG field in a SAM/BAM record.) \item The CIGAR string in the "Extended CIGAR format" (see the SAM Format Specifications for the details). \item The 1-based leftmost position/coordinate of the clipped query relative to the reference sequence. We will refer to it as the "start" of the query. (This is the POS field in a SAM/BAM record.) \item The 1-based rightmost position/coordinate of the clipped query relative to the reference sequence. We will refer to it as the "end" of the query. (This is NOT explicitly stored in a SAM/BAM record but can be inferred from the POS and CIGAR fields.) Note that all positions/coordinates are always relative to the first base at the 5' end of the plus strand of the reference sequence, even when the query is aligned to the minus strand. \item The genomic intervals between the "start" and "end" of the query that are "covered" by the alignment. Saying that the full [start,end] interval is covered is the same as saying that the alignment has no gap (no N in the CIGAR). It is then considered a simple alignment. Note that a simple alignment can have mismatches or deletions (in the reference). In other words, a deletion, encoded with a D, is NOT considered a gap. } Note that the last 2 items are not expicitly stored in the GAlignments object: they are inferred on-the-fly from the CIGAR and the "start". Optionally, a GAlignments object can have names (accessed thru the \code{\link[base]{names}} generic function) which will be coming from the QNAME field of the SAM/BAM records. The rest of this man page will focus on describing how to: \itemize{ \item Access the information stored in a GAlignments object in a way that is independent from how the data are actually stored internally. \item How to create and manipulate a GAlignments object. } } \section{Constructors}{ \describe{ \item{}{ \code{readGAlignments(file, format="BAM", use.names=FALSE, ...)}: Read a file containing aligned reads as a GAlignments object. By default (i.e. \code{use.names=FALSE}), the resulting object has no names. If \code{use.names} is \code{TRUE}, then the names are constructed from the query template names (QNAME field in a SAM/BAM file). Note that this function is just a front-end that delegates to the format-specific back-end function specified via the \code{format} argument. The \code{use.names} argument and any extra argument are passed to the back-end function. Only the BAM format is supported for now. Its back-end is the \code{\link[Rsamtools]{readGAlignmentsFromBam}} function defined in the Rsamtools package. See \code{?\link[Rsamtools]{readGAlignmentsFromBam}} for more information (you might need to install and load the Rsamtools package first). } \item{}{ \code{GAlignments(seqnames=Rle(factor()), pos=integer(0), cigar=character(0), strand=NULL, names=NULL, seqlengths=NULL, ...)}: Low-level GAlignments constructor. Generally not used directly. Named arguments in \code{...} are used as metadata columns. } } } \section{Accessors}{ In the code snippets below, \code{x} is a GAlignments object. \describe{ \item{}{ \code{length(x)}: Return the number of alignments in \code{x}. } \item{}{ \code{names(x)}, \code{names(x) <- value}: Get or set the names of \code{x}. See \code{readGAlignments} above for how to automatically extract and set the names from the file to read. } \item{}{ \code{seqnames(x)}, \code{seqnames(x) <- value}: Get or set the name of the reference sequence for each alignment in \code{x} (see Details section above for more information about the RNAME field of a SAM/BAM file). \code{value} can be a factor, or a 'factor' \link[IRanges]{Rle}, or a character vector. } \item{}{ \code{rname(x)}, \code{rname(x) <- value}: Same as \code{seqnames(x)} and \code{seqnames(x) <- value}. } \item{}{ \code{strand(x)}, \code{strand(x) <- value}: Get or set the strand for each alignment in \code{x} (see Details section above for more information about the strand of an alignment). \code{value} can be a factor (with levels +, - and *), or a 'factor' \link[IRanges]{Rle}, or a character vector. } \item{}{ \code{cigar(x)}: Returns a character vector of length \code{length(x)} containing the CIGAR string for each alignment. } \item{}{ \code{qwidth(x)}: Returns an integer vector of length \code{length(x)} containing the length of the query *after* hard clipping (i.e. the length of the query sequence that is stored in the corresponding SAM/BAM record). } \item{}{ \code{start(x)}, \code{end(x)}: Returns an integer vector of length \code{length(x)} containing the "start" and "end" (respectively) of the query for each alignment. See Details section above for the exact definitions of the "start" and "end" of a query. Note that \code{start(x)} and \code{end(x)} are equivalent to \code{start(granges(x))} and \code{end(granges(x))}, respectively (or, alternatively, to \code{min(rglist(x))} and \code{max(rglist(x))}, respectively). } \item{}{ \code{width(x)}: Equivalent to \code{width(granges(x))} (or, alternatively, to \code{end(x) - start(x) + 1L}). Note that this is generally different from \code{qwidth(x)} except for alignments with a trivial CIGAR string (i.e. a string of the form \code{"M"} where is a number). } \item{}{ \code{ngap(x)}: Returns an integer vector of the same length as \code{x} containing the number of gaps (i.e. N operations in the CIGAR) for each alignment. Equivalent to \code{unname(elementLengths(rglist(x))) - 1L}. } \item{}{ \code{seqinfo(x)}, \code{seqinfo(x) <- value}: Get or set the information about the underlying sequences. \code{value} must be a \link{Seqinfo} object. } \item{}{ \code{seqlevels(x)}, \code{seqlevels(x) <- value}: Get or set the sequence levels. \code{seqlevels(x)} is equivalent to \code{seqlevels(seqinfo(x))} or to \code{levels(seqnames(x))}, those 2 expressions being guaranteed to return identical character vectors on a GAlignments object. \code{value} must be a character vector with no NAs. See \code{?\link{seqlevels}} for more information. } \item{}{ \code{seqlengths(x)}, \code{seqlengths(x) <- value}: Get or set the sequence lengths. \code{seqlengths(x)} is equivalent to \code{seqlengths(seqinfo(x))}. \code{value} can be a named non-negative integer or numeric vector eventually with NAs. } \item{}{ \code{isCircular(x)}, \code{isCircular(x) <- value}: Get or set the circularity flags. \code{isCircular(x)} is equivalent to \code{isCircular(seqinfo(x))}. \code{value} must be a named logical vector eventually with NAs. } \item{}{ \code{genome(x)}, \code{genome(x) <- value}: Get or set the genome identifier or assembly name for each sequence. \code{genome(x)} is equivalent to \code{genome(seqinfo(x))}. \code{value} must be a named character vector eventually with NAs. } \item{}{ \code{seqnameStyle(x)}: Get or set the seqname style for \code{x}. Note that this information is not stored in \code{x} but inferred by looking up \code{seqnames(x)} against a seqname style database stored in the seqnames.db metadata package (required). \code{seqnameStyle(x)} is equivalent to \code{seqnameStyle(seqinfo(x))} and can return more than 1 seqname style (with a warning) in case the style cannot be determined unambiguously. } } } \section{Coercion}{ In the code snippets below, \code{x} is a GAlignments object. \describe{ \item{}{ \code{grglist(x, order.as.in.query=FALSE, drop.D.ranges=FALSE)}, \code{rglist(x, order.as.in.query=FALSE, drop.D.ranges=FALSE)}: Return either a \link{GRangesList} or a \link[IRanges]{RangesList} object of length \code{length(x)} where the i-th element represents the ranges (with respect to the reference) of the i-th alignment in \code{x}. More precisely, the \link[IRanges]{RangesList} object returned by \code{rglist(x)} is a \link[IRanges]{CompressedIRangesList} object. The \code{order.as.in.query} toggle affects the order of the ranges \emph{within} each top-level element of the returned object. If \code{FALSE} (the default), then the ranges are ordered from 5' to 3' in elements associated with the plus strand (i.e. corresponding to alignments located on the plus strand), and from 3' to 5' in elements associated with the minus strand. So, whatever the strand is, the ranges are in ascending order (i.e. left-to-right). If \code{TRUE}, then the order of the ranges in elements associated with the \emph{minus} strand is reversed. So they end up being ordered from 5' to 3' too, which means that they are now in decending order (i.e. right-to-left). It also means that, when \code{order.as.in.query=TRUE} is used, the ranges are \emph{always} ordered consistently with the original "query template", that is, in the order defined by walking the "query template" from the beginning to the end. If \code{drop.D.ranges} is \code{TRUE}, then deletions (D operations in the CIGAR) are treated like gaps (N operations in the CIGAR), that is, the ranges corresponding to deletions are dropped. See Details section above for more information. } \item{}{ \code{granges(x)}, \code{ranges(x)}: Return either a \link{GRanges} or a \link[IRanges]{Ranges} object of length \code{length(x)} where each element represents the regions in the reference to which a query is aligned. More precisely, the \link[IRanges]{Ranges} object returned by \code{ranges(x)} is an \link[IRanges]{IRanges} object. } \item{}{ \code{introns(x)}: Extract the gaps (i.e. N operations in the CIGAR) as a \link{GRangesList} object of the same length as \code{x}. Equivalent to: \preformatted{ psetdiff(granges(x), grglist(x, order.as.in.query=TRUE)) } } \item{}{ \code{as(x, "GRangesList")}, \code{as(x, "GRanges")}, \code{as(x, "RangesList")}, \code{as(x, "Ranges")}: Alternate ways of doing \code{grglist(x)}, \code{granges(x)}, \code{rglist(x)}, \code{ranges(x)}, respectively. } } } \section{Subsetting and related operations}{ In the code snippets below, \code{x} is a GAlignments object. \describe{ \item{}{ \code{x[i]}: Return a new GAlignments object made of the selected alignments. \code{i} can be a numeric or logical vector. } } } \section{Combining}{ \describe{ \item{}{ \code{c(...)}: Concatenates the GAlignments objects in \code{...}. } } } \section{Other methods}{ \describe{ \item{}{ \code{qnarrow(x, start=NA, end=NA, width=NA)}: \code{x} is a GAlignments object. Return a new GAlignments object of the same length as \code{x} describing how the narrowed query sequences align to the reference. The \code{start}/\code{end}/\code{width} arguments describe how to narrow the query sequences. They must be vectors of integers. NAs and negative values are accepted and "solved" according to the rules of the SEW (Start/End/Width) interface (see \code{?\link[IRanges]{solveUserSEW}} for the details). } \item{}{ \code{show(x)}: By default the \code{show} method displays 5 head and 5 tail elements. This can be changed by setting the global options \code{showHeadLines} and \code{showTailLines}. If the object length is less than (or equal to) the sum of these 2 options plus 1, then the full object is displayed. Note that these options also affect the display of \link{GRanges} and \link{GAlignmentPairs} objects, as well as other objects defined in the IRanges and Biostrings packages (e.g. \link[IRanges]{Ranges} and \link[Biostrings]{XStringSet} objects). } } } \references{ \url{http://samtools.sourceforge.net/} } \author{ H. Pages and P. Aboyoun } \seealso{ \itemize{ \item \link{GAlignmentPairs-class}. \item \code{\link[Rsamtools]{readGAlignmentsFromBam}}. \item \link{GRangesList-class}. \item \link{GRanges-class}. \item \link{findOverlaps-methods}. \item \link{coverage-methods}. \item \code{\link{seqinfo}}. \item \link[IRanges]{CompressedIRangesList-class}. \item \link{setops-methods}. } } \examples{ library(Rsamtools) # for ScanBamParam() and the ex1.bam file ex1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") gal <- readGAlignments(ex1_file, param=ScanBamParam(what="flag")) gal ## --------------------------------------------------------------------- ## A. BASIC MANIPULATION ## --------------------------------------------------------------------- length(gal) head(gal) names(gal) # no names by default seqnames(gal) strand(gal) head(cigar(gal)) head(qwidth(gal)) table(qwidth(gal)) head(start(gal)) head(end(gal)) head(width(gal)) head(ngap(gal)) seqlevels(gal) ## Rename the reference sequences: seqlevels(gal) <- sub("seq", "chr", seqlevels(gal)) seqlevels(gal) grglist(gal) # a GRangesList object stopifnot(identical(unname(elementLengths(grglist(gal))), ngap(gal) + 1L)) granges(gal) # a GRanges object rglist(gal) # a CompressedIRangesList object stopifnot(identical(unname(elementLengths(rglist(gal))), ngap(gal) + 1L)) ranges(gal) # an IRanges object introns(gal) # a GRangesList object stopifnot(identical(unname(elementLengths(introns(gal))), ngap(gal))) ## Modify the number of lines in 'show' options("showHeadLines"=3) options("showTailLines"=2) gal ## Revert to default options("showHeadLines"=NULL) options("showTailLines"=NULL) ## --------------------------------------------------------------------- ## B. SUBSETTING ## --------------------------------------------------------------------- gal[strand(gal) == "-"] gal[grep("I", cigar(gal), fixed=TRUE)] gal[grep("N", cigar(gal), fixed=TRUE)] # no gaps ## A confirmation that all the queries map to the reference with no ## gaps: stopifnot(all(ngap(gal) == 0)) ## Different ways to subset: gal[6] # a GAlignments object of length 1 grglist(gal)[[6]] # a GRanges object of length 1 rglist(gal)[[6]] # a NormalIRanges object of length 1 ## D operations are NOT gaps: ii <- grep("D", cigar(gal), fixed=TRUE) gal[ii] ngap(gal[ii]) grglist(gal[ii]) ## qwidth() vs width(): gal[qwidth(gal) != width(gal)] ## This MUST return an empty object: gal[cigar(gal) == "35M" & qwidth(gal) != 35] ## but this doesn't have too: gal[cigar(gal) != "35M" & qwidth(gal) == 35] ## --------------------------------------------------------------------- ## C. qnarrow()/narrow() ## --------------------------------------------------------------------- ## Note that there is no difference between qnarrow() and narrow() when ## all the alignments are simple and with no indels. ## This trims 3 nucleotides on the left and 5 nucleotides on the right ## of each alignment: qnarrow(gal, start=4, end=-6) ## Note that the 'start' and 'end' arguments specify what part of each ## query sequence should be kept (negative values being relative to the ## right end of the query sequence), not what part should be trimmed. ## Trimming on the left doesn't change the "end" of the queries. qnarrow(gal, start=21) stopifnot(identical(end(qnarrow(gal, start=21)), end(gal))) } \keyword{methods} \keyword{classes} GenomicRanges/man/GAlignmentsList-class.Rd0000644000126300012640000003335712227070335022103 0ustar00biocbuildphs_compbio\name{GAlignmentsList-class} \docType{class} % Class \alias{class:GAlignmentsList} \alias{GAlignmentsList-class} \alias{GAlignmentsList} % Constructors: \alias{GAlignmentsList} \alias{makeGAlignmentsListFromFeatureFragments} \alias{updateObject,GAlignmentsList-method} \alias{readGAlignmentsList} % Accessors: \alias{names,GAlignmentsList-method} \alias{names<-,GAlignmentsList-method} \alias{seqnames,GAlignmentsList-method} \alias{seqnames<-,GAlignmentsList-method} \alias{rname,GAlignmentsList-method} \alias{rname<-,GAlignmentsList-method} \alias{strand,GAlignmentsList-method} \alias{strand<-,GAlignmentsList-method} \alias{cigar,GAlignmentsList-method} \alias{qwidth,GAlignmentsList-method} \alias{ngap,GAlignmentsList-method} \alias{elementMetadata,GAlignmentsList-method} \alias{elementMetadata<-,GAlignmentsList-method} \alias{seqinfo,GAlignmentsList-method} \alias{seqinfo<-,GAlignmentsList-method} \alias{start,GAlignmentsList-method} \alias{end,GAlignmentsList-method} \alias{width,GAlignmentsList-method} % Coercion: \alias{as.data.frame,GAlignmentsList-method} \alias{coerce,GAlignmentsList,GRangesList-method} \alias{coerce,GAlignmentsList,GRanges-method} \alias{coerce,GAlignmentsList,RangesList-method} \alias{coerce,GAlignmentsList,Ranges-method} \alias{coerce,GAlignmentPairs,GAlignmentsList-method} \alias{grglist,GAlignmentsList-method} \alias{granges,GAlignmentsList-method} \alias{rglist,GAlignmentsList-method} \alias{ranges,GAlignmentsList-method} \alias{introns,GAlignmentsList-method} % Combining: \alias{c,GAlignmentsList-method} % show: \alias{show,GAlignmentsList-method} % Other methods: \alias{qnarrow,GAlignmentsList-method} \title{GAlignmentsList objects} \description{ The GAlignmentsList class is a container for storing a collection of \link{GAlignments} objects. } \details{ A GAlignmentsList object contains a list of \link{GAlignments} objects. The majority of operations on this page are described in more detail on the GAlignments man page, see ?\code{GAlignments}. } \section{Constructors}{ \describe{ \item{}{ \code{GAlignmentsList(...)}: Creates a GAlignmentsList from a list of \link{GAlignments} objects. } \item{}{ \code{readGAlignmentsList(file, format="BAM", use.names=FALSE, ...)}: Read a file containing aligned reads as a GAlignmentsList object. Note that this function is just a front-end that delegates to the \code{\link[Rsamtools]{readGAlignmentsListFromBam}} function defined in the Rsamtools package. See \code{?\link[Rsamtools]{readGAlignmentsListFromBam}} for more information. The \code{param} described on the \code{\link[Rsamtools]{readGAlignmentsListFromBam}} man page fine tunes which records are returned and how they are grouped. \code{param} is specified by the standard \code{ScanBamParam()} options. } \item{}{ \code{makeGAlignmentsListFromFeatureFragments(seqnames=Rle(factor()), fragmentPos=list(), fragmentCigar=list(), strand=character(0), sep=",")}: Constructs a GAlignmentsList from a list of fragmented features. } } } \section{Accessors}{ In the code snippets below, \code{x} is a GAlignmentsList object. \describe{ \item{}{ \code{length(x)}: Return the number of elements in \code{x}. } \item{}{ \code{names(x)}, \code{names(x) <- value}: Get or set the names of the elements of \code{x}. } \item{}{ \code{seqnames(x)}, \code{seqnames(x) <- value}: Get or set the name of the reference sequences of the alignments in each element of \code{x}. } \item{}{ \code{rname(x)}, \code{rname(x) <- value}: Same as \code{seqnames(x)} and \code{seqnames(x) <- value}. } \item{}{ \code{strand(x)}, \code{strand(x) <- value}: Get or set the strand of the alignments in each element of \code{x}. } \item{}{ \code{cigar(x)}: Returns a character list of length \code{length(x)} containing the CIGAR string for the alignments in each element of \code{x}. } \item{}{ \code{qwidth(x)}: Returns an integer list of length \code{length(x)} containing the length of the alignments in each element of \code{x} *after* hard clipping (i.e. the length of the query sequence that is stored in the corresponding SAM/BAM record). } \item{}{ \code{start(x)}, \code{end(x)}: Returns an integer list of length \code{length(x)} containing the "start" and "end" (respectively) of the alignments in each element of \code{x}. } \item{}{ \code{width(x)}: Returns an integer list of length \code{length(x)} containing the "width" of the alignments in each element of \code{x}. } \item{}{ \code{ngap(x)}: Returns an integer list of length \code{x} containing the number of gaps (i.e. N operations in the CIGAR) for the alignments in each element of \code{x}. } \item{}{ \code{seqinfo(x)}, \code{seqinfo(x) <- value}: Get or set the information about the underlying sequences in each element of \code{x}. \code{value} must be a list of \link{Seqinfo} objects. } \item{}{ \code{seqlevels(x)}, \code{seqlevels(x) <- value}: Get or set the sequence levels of the alignments in each element of \code{x}. } \item{}{ \code{seqlengths(x)}, \code{seqlengths(x) <- value}: Get or set the sequence lengths for each element of \code{x}. \code{seqlengths(x)} is equivalent to \code{seqlengths(seqinfo(x))}. \code{value} can be a named non-negative integer or numeric vector eventually with NAs. } \item{}{ \code{isCircular(x)}, \code{isCircular(x) <- value}: Get or set the circularity flags for the alignments in each element in \code{x}. \code{value} must be a named logical list eventually with NAs. } \item{}{ \code{genome(x)}, \code{genome(x) <- value}: Get or set the genome identifier or assembly name for the alignments in each element of \code{x}. \code{value} must be a named character list eventually with NAs. } \item{}{ \code{seqnameStyle(x)}: Get or set the seqname style for alignments in each element of \code{x}. } } } \section{Coercion}{ In the code snippets below, \code{x} is a GAlignmentsList object. \describe{ \item{}{ \code{granges(x, ignore.strand=FALSE)}, \code{ranges(x)}: Return either a \link{GRanges} or a \link[IRanges]{IRanges} object of length \code{length(x)}. Note this coercion IGNORES the cigar information. The resulting ranges span the entire range, including any gaps or spaces between paired-end reads. \code{granges} coercion supports \code{ignore.strand} to allow ranges of opposite strand to be combined (see examples). All ranges in the resulting GRanges will have strand \sQuote{*}. } \item{}{ \code{grglist(x, ignore.strand=FALSE)}, \code{rglist(x)}: Return either a \link{GRangesList} or a \link[IRanges]{IRangesList} object of length \code{length(x)}. This coercion RESPECTS the cigar information. The resulting ranges are fragments of the original ranges that do not include gaps or spaces between paired-end reads. \code{grglist} coercion supports \code{ignore.strand} to allow ranges of opposite strand to be combined (see examples). All ranges in the resulting GRangesList will have strand \sQuote{*}. } \item{}{ \code{as(x, "GRangesList")}, \code{as(x, "GRanges")}, \code{as(x, "RangesList")}, \code{as(x, "Ranges")}: Alternate ways of doing \code{grglist(x)}, \code{granges(x)}, \code{rglist(x)}, \code{ranges(x)}, respectively. } \item{}{ \code{as(x, "GALignmentsList")}: Return a \link{GAlignmentsList} object of length \code{length(x)} where the i-th list element represents the ranges of the i-th alignment pair in \code{x}. } } } \section{Subsetting and related operations}{ In the code snippets below, \code{x} is a GAlignmentsList object. \describe{ \item{}{ \code{x[i]}, \code{x[i] <- value}: Get or set list elements \code{i}. \code{i} can be a numeric or logical vector. \code{value} must be a GAlignments. } \item{}{ \code{x[[i]]}, \code{x[[i]] <- value}: Same as \code{x[i]}, \code{x[i] <- value}. } \item{}{ \code{x[i, j]}, \code{x[i, j] <- value}: Get or set list elements \code{i} with optional metadata columns \code{j}. \code{i} can be a numeric, logical or missing. \code{value} must be a GAlignments. } } } \section{Combining}{ \describe{ \item{}{ \code{c(...)}: Concatenates the GAlignmentsList objects in \code{...}. } } } \section{Other methods}{ In the code snippets below, \code{x} is a GAlignmentsList object. \describe{ \item{}{ \code{qnarrow(x, start=NA, end=NA, width=NA)}: Return a new GAlignmentsList object of the same length as \code{x} describing how the narrowed query sequences align to the reference. The \code{start}/\code{end}/\code{width} arguments describe how to narrow the query sequences. They must be vectors of integers. NAs and negative values are accepted and "solved" according to the rules of the SEW (Start/End/Width) interface (see \code{?\link[IRanges]{solveUserSEW}} for the details). } } } \references{ \url{http://samtools.sourceforge.net/} } \author{Valerie Obenchain =}, \code{<} and \code{>} operators between 2 \link{GenomicRanges} objects are using this "natural order". } \author{H. Pages} \seealso{ \itemize{ \item The \link{GenomicRanges} class. \item \link[IRanges]{Ranges-comparison} in the IRanges package for comparing and ordering genomic ranges. \item \link[GenomicRanges]{intra-range-methods} and \link[GenomicRanges]{inter-range-methods} for intra and inter range transformations. \item \link[GenomicRanges]{setops-methods} for set operations on \link{GenomicRanges} objects. \item \link[GenomicRanges]{findOverlaps-methods} for finding overlapping genomic ranges. } } \examples{ gr0 <- GRanges( seqnames=Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges=IRanges(c(1:9,7L), end=10), strand=Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqlengths=c(chr1=11, chr2=12, chr3=13)) gr <- c(gr0, gr0[7:3]) ## --------------------------------------------------------------------- ## A. ELEMENT-WISE (AKA "PARALLEL") COMPARISON OF 2 GenomicRanges OBJECTS ## --------------------------------------------------------------------- gr[2] == gr[2] # TRUE gr[2] == gr[5] # FALSE gr == gr[4] gr >= gr[3] ## --------------------------------------------------------------------- ## B. duplicated(), unique() ## --------------------------------------------------------------------- duplicated(gr) unique(gr) ## --------------------------------------------------------------------- ## C. match(), %in% ## --------------------------------------------------------------------- table <- gr[1:7] match(gr, table) match(gr, table, ignore.strand=TRUE) gr \%in\% table # Warning! The warning will be removed in BioC 2.14. ## In the meantime, use suppressWarnings() to suppress the warning: suppressWarnings(gr \%in\% table) ## --------------------------------------------------------------------- ## D. findMatches(), countMatches() ## --------------------------------------------------------------------- findMatches(gr, table) countMatches(gr, table) findMatches(gr, table, ignore.strand=TRUE) countMatches(gr, table, ignore.strand=TRUE) gr_levels <- unique(gr) countMatches(gr_levels, gr) ## --------------------------------------------------------------------- ## E. order() AND RELATED METHODS ## --------------------------------------------------------------------- order(gr) sort(gr) rank(gr) ## --------------------------------------------------------------------- ## F. GENERALIZED ELEMENT-WISE COMPARISON OF 2 GenomicRanges OBJECTS ## --------------------------------------------------------------------- gr2 <- GRanges(c(rep("chr1", 12), "chr2"), IRanges(c(1:11, 6:7), width=3)) strand(gr2)[12] <- "+" gr3 <- GRanges("chr1", IRanges(5, 9)) compare(gr2, gr3) rangeComparisonCodeToLetter(compare(gr2, gr3)) } \keyword{methods} GenomicRanges/man/GenomicRangesList-class.Rd0000644000126300012640000000355612227070335022412 0ustar00biocbuildphs_compbio\name{GenomicRangesList-class} \docType{class} % Class: \alias{class:GenomicRangesList} \alias{class:SimpleGenomicRangesList} \alias{GenomicRangesList-class} \alias{SimpleGenomicRangesList-class} % Constructors: \alias{GenomicRangesList} % Coercion \alias{coerce,RangedDataList,GenomicRangesList-method} \alias{coerce,GenomicRangesList,RangedDataList-method} \title{GenomicRangesList objects} \description{ A \code{GenomicRangesList} is a \code{\link[IRanges:List-class]{List}} of \code{\linkS4class{GenomicRanges}}. It is a virtual class; \code{SimpleGenomicRangesList} is the basic implementation. The subclass \code{\linkS4class{GRangesList}} provides special behavior and is particularly efficient for storing a large number of elements. } \section{Constructor}{ \describe{ \item{}{ \code{GenomicRangesList(\dots)}: Constructs a \code{SimpleGenomicRangesList} with elements taken from the arguments in \dots. If the only argument is a list, the elements are taken from that list. } } } \section{Coercion}{ \describe{ \item{}{ \code{as(from, "GenomicRangesList")}: Supported \code{from} types include: \describe{ \item{RangedDataList}{Each element of \code{from} is coerced to a \code{GenomicRanges}.} } } \item{}{ \code{as(from, "RangedDataList")}: Supported \code{from} types include: \describe{ \item{GenomicRangesList}{Each element of \code{from} is coerced to a \code{RangedData}.} } } } } \author{Michael Lawrence} \seealso{ \code{\linkS4class{GRangesList}}, which differs from \code{SimpleGenomicRangesList} in that the \code{GRangesList} treats its elements as single, compound ranges, particularly in overlap operations. \code{SimpleGenomicRangesList} is just a barebones list for now, without that compound semantic. } GenomicRanges/man/Seqinfo-class.Rd0000644000126300012640000002222212227070335020430 0ustar00biocbuildphs_compbio\name{Seqinfo-class} \docType{class} % Classes: \alias{class:Seqinfo} \alias{Seqinfo-class} \alias{Seqinfo} % Constructors: \alias{Seqinfo} \alias{updateObject,Seqinfo-method} % Methods: \alias{length,Seqinfo-method} \alias{seqnames,Seqinfo-method} \alias{seqnames<-,Seqinfo-method} \alias{names,Seqinfo-method} \alias{names<-,Seqinfo-method} \alias{seqlevels,Seqinfo-method} \alias{seqlevels<-,Seqinfo-method} \alias{seqlengths,Seqinfo-method} \alias{seqlengths<-,Seqinfo-method} \alias{isCircular,Seqinfo-method} \alias{isCircular<-,Seqinfo-method} \alias{genome,Seqinfo-method} \alias{genome<-,Seqinfo-method} \alias{seqnameStyle,Seqinfo-method} \alias{seqnameStyle<-,Seqinfo-method} \alias{[,Seqinfo-method} \alias{coerce,Seqinfo,GRanges-method} \alias{coerce,Seqinfo,GenomicRanges-method} \alias{coerce,Seqinfo,RangesList-method} \alias{as.data.frame,Seqinfo-method} \alias{show,Seqinfo-method} \alias{merge,Seqinfo,missing-method} \alias{merge,missing,Seqinfo-method} \alias{merge,Seqinfo,NULL-method} \alias{merge,NULL,Seqinfo-method} \alias{merge,Seqinfo,Seqinfo-method} \alias{intersect,Seqinfo,Seqinfo-method} \title{Seqinfo objects} \description{ A Seqinfo object is a table-like object that contains basic information about a set of genomic sequences. The table has 1 row per sequence and 1 column per sequence attribute. Currently the only attributes are the length, circularity flag, and genome provenance (e.g. hg19) of the sequence, but more attributes might be added in the future as the need arises. } \details{ Typically Seqinfo objects are not used directly but are part of higher level objects. Those higher level objects will generally provide a \code{seqinfo} accessor for getting/setting their Seqinfo component. } \section{Constructor}{ \describe{ \item{}{ \code{Seqinfo(seqnames, seqlengths=NA, isCircular=NA, genome=NA)}: Creates a Seqinfo object. } } } \section{Accessor methods}{ In the code snippets below, \code{x} is a Seqinfo object. \describe{ \item{}{ \code{length(x)}: Return the number of sequences in \code{x}. } \item{}{ \code{seqnames(x)}, \code{seqnames(x) <- value}: Get/set the names of the sequences in \code{x}. Those names must be non-NA, non-empty and unique. They are also called the \emph{sequence levels} or the \emph{keys} of the Seqinfo object. Note that, in general, the end-user should not try to alter the sequence levels with \code{seqnames(x) <- value}. The recommended way to do this is with \code{seqlevels(x) <- value} as described below. } \item{}{ \code{names(x)}, \code{names(x) <- value}: Same as \code{seqnames(x)} and \code{seqnames(x) <- value}. } \item{}{ \code{seqlevels(x)}: Same as \code{seqnames(x)}. } \item{}{ \code{seqlevels(x) <- value}: Can be used to rename, drop, add and/or reorder the sequence levels. \code{value} must be either a named or unnamed character vector. When \code{value} has names, the names only serve the purpose of mapping the new sequence levels to the old ones. Otherwise (i.e. when \code{value} is unnamed) this mapping is implicitly inferred from the following rules: (1) If the number of new and old levels are the same, and if the positional mapping between the new and old levels shows that some or all of the levels are being renamed, and if the levels that are being renamed are renamed with levels that didn't exist before (i.e. are not present in the old levels), then \code{seqlevels(x) <- value} will just rename the sequence levels. Note that in that case the result is the same as with \code{seqnames(x) <- value} but it's still recommended to use \code{seqlevels(x) <- value} as it is safer. (2) Otherwise (i.e. if the conditions for (1) are not satisfied) \code{seqlevels(x) <- value} will consider that the sequence levels are not being renamed and will just perform \code{x <- x[value]}. See below for some examples. } \item{}{ \code{seqlengths(x)}, \code{seqlengths(x) <- value}: Get/set the length for each sequence in \code{x}. } \item{}{ \code{isCircular(x)}, \code{isCircular(x) <- value}: Get/set the circularity flag for each sequence in \code{x}. } \item{}{ \code{genome(x)}, \code{genome(x) <- value}: Get/set the genome identifier or assembly name for each sequence in \code{x}. } \item{}{ \code{seqnameStyle(x)}: Get/set the seqname style for \code{x}. Note that this information is not stored in \code{x} but inferred by looking up \code{seqnames(x)} against a seqname style database stored in the seqnames.db metadata package (required). The getter can return more than 1 seqname style (with a warning) in case the style cannot be determined unambiguously. } } } \section{Subsetting}{ In the code snippets below, \code{x} is a Seqinfo object. \describe{ \item{}{ \code{x[i]}: A Seqinfo object can be subsetted only by name i.e. \code{i} must be a character vector. This is a convenient way to drop/add/reorder the rows (aka the sequence levels) of a Seqinfo object. See below for some examples. } } } \section{Coercion}{ In the code snippets below, \code{x} is a Seqinfo object. \describe{ \item{}{ \code{as.data.frame(x)}: Turns \code{x} into a data frame. } \item{}{ \code{as(x, "GRanges")}, \code{as(x, "GenomicRanges")}, \code{as(x, "RangesList")}: Turns \code{x} (with no \code{NA} lengths) into a GRanges or RangesList. } } } \section{Combining Seqinfo objects}{ There are no \code{c} or \code{rbind} method for Seqinfo objects. Both would be expected to just append the rows in \code{y} to the rows in \code{x} resulting in an object of length \code{length(x) + length(y)}. But that would tend to break the constraint that the seqnames of a Seqinfo object must be unique keys. So instead, a \code{merge} method is provided. In the code snippet below, \code{x} and \code{y} are Seqinfo objects. \describe{ \item{}{ \code{merge(x, y)}: Merge \code{x} and \code{y} into a single Seqinfo object where the keys (aka the seqnames) are \code{union(seqnames(x), seqnames(y))}. If a row in \code{y} has the same key as a row in \code{x}, and if the 2 rows contain compatible information (NA values are compatible with anything), then they are merged into a single row in the result. If they cannot be merged (because they contain different seqlengths, and/or circularity flags, and/or genome identifiers), then an error is raised. In addition to check for incompatible sequence information, \code{merge(x, y)} also compares \code{seqnames(x)} with \code{seqnames(y)} and issues a warning if each of them has names not in the other. The purpose of these checks is to try to detect situations where the user might be combining or comparing objects based on different reference genomes. } \item{}{ \code{intersect(x, y)}: Finds the intersection between two \code{Seqinfo} objects by merging them and subsetting for the intersection of their sequence names. This makes it easy to avoid warnings about the objects not being subsets of each other during overlap operations. } } } \author{H. Pages} \seealso{ \code{\link{seqinfo}} } \examples{ ## Note that all the arguments (except 'genome') must have the ## same length. 'genome' can be of length 1, whatever the lengths ## of the other arguments are. x <- Seqinfo(seqnames=c("chr1", "chr2", "chr3", "chrM"), seqlengths=c(100, 200, NA, 15), isCircular=c(NA, FALSE, FALSE, TRUE), genome="toy") length(x) seqnames(x) names(x) seqlevels(x) seqlengths(x) isCircular(x) genome(x) seqnameStyle(x) # UCSC seqnameStyle(x) <- "NCBI" seqlevels(x) seqnameStyle(x) # NCBI (ambiguous) seqnameStyle(x) <- "UCSC" seqlevels(x) x[c("chrY", "chr3", "chr1")] # subset by names ## Rename, drop, add and/or reorder the sequence levels: xx <- x seqlevels(xx) <- sub("chr", "ch", seqlevels(xx)) # rename xx seqlevels(xx) <- rev(seqlevels(xx)) # reorder xx seqlevels(xx) <- c("ch1", "ch2", "chY") # drop/add/reorder xx seqlevels(xx) <- c(chY="Y", ch1="1", "22") # rename/reorder/drop/add xx y <- Seqinfo(seqnames=c("chr3", "chr4", "chrM"), seqlengths=c(300, NA, 15)) y merge(x, y) # rows for chr3 and chrM are merged suppressWarnings(merge(x, y)) ## Note that, strictly speaking, merging 2 Seqinfo objects is not ## a commutative operation, i.e., in general 'z1 <- merge(x, y)' ## is not identical to 'z2 <- merge(y, x)'. However 'z1' and 'z2' ## are guaranteed to contain the same information (i.e. the same ## rows, but typically not in the same order): suppressWarnings(merge(y, x)) ## This contradicts what 'x' says about circularity of chr3 and chrM: isCircular(y)[c("chr3", "chrM")] <- c(TRUE, FALSE) y if (interactive()) { merge(x, y) # raises an error } } \keyword{methods} \keyword{classes} GenomicRanges/man/SummarizedExperiment-class.Rd0000644000126300012640000005662712227070335023225 0ustar00biocbuildphs_compbio\name{SummarizedExperiment-class} \docType{class} % Class \alias{SummarizedExperiment-class} \alias{SummarizedExperiment} \alias{Assays-class} % Constructor-like function: \alias{SummarizedExperiment} \alias{SummarizedExperiment,missing-method} \alias{SummarizedExperiment,matrix-method} \alias{SummarizedExperiment,list-method} \alias{SummarizedExperiment,SimpleList-method} % Coercion methods: \alias{updateObject,SummarizedExperiment-method} % Accessor methods: \alias{assays} \alias{assays,SummarizedExperiment-method} \alias{assays<-} \alias{assays<-,SummarizedExperiment,list-method} \alias{assays<-,SummarizedExperiment,SimpleList-method} \alias{assay} \alias{assay,SummarizedExperiment,ANY-method} \alias{assay,SummarizedExperiment,character-method} \alias{assay,SummarizedExperiment,numeric-method} \alias{assay,SummarizedExperiment,missing-method} \alias{assay<-} \alias{assay<-,SummarizedExperiment,character,matrix-method} \alias{assay<-,SummarizedExperiment,numeric,matrix-method} \alias{assay<-,SummarizedExperiment,missing,matrix-method} \alias{rowData} \alias{rowData,SummarizedExperiment-method} \alias{rowData<-} \alias{rowData<-,SummarizedExperiment,GenomicRanges-method} \alias{rowData<-,SummarizedExperiment,GRangesList-method} \alias{colData} \alias{colData,SummarizedExperiment-method} \alias{colData<-} \alias{colData<-,SummarizedExperiment,DataFrame-method} \alias{exptData} \alias{exptData,SummarizedExperiment-method} \alias{exptData<-} \alias{exptData<-,SummarizedExperiment,SimpleList-method} \alias{exptData<-,SummarizedExperiment,list-method} \alias{dim,SummarizedExperiment-method} \alias{dimnames,SummarizedExperiment-method} \alias{dimnames<-,SummarizedExperiment,NULL-method} \alias{dimnames<-,SummarizedExperiment,list-method} % Subset methods \alias{[,SummarizedExperiment-method} \alias{[<-,SummarizedExperiment,ANY,ANY,SummarizedExperiment-method} \alias{$,SummarizedExperiment-method} \alias{$<-,SummarizedExperiment,ANY-method} \alias{$<-,SummarizedExperiment-method} \alias{[[,SummarizedExperiment,ANY,missing-method} \alias{[[<-,SummarizedExperiment,ANY,missing,ANY-method} \alias{[[<-,SummarizedExperiment,ANY,missing-method} % Combine methods \alias{cbind,SummarizedExperiment-method} \alias{rbind,SummarizedExperiment-method} % GenomicRanges compatibility methods \alias{compare,ANY,SummarizedExperiment-method} \alias{compare,SummarizedExperiment,ANY-method} \alias{compare,SummarizedExperiment,SummarizedExperiment-method} \alias{countOverlaps,Vector,SummarizedExperiment-method} \alias{countOverlaps,SummarizedExperiment,Vector-method} \alias{countOverlaps,SummarizedExperiment,SummarizedExperiment-method} \alias{coverage,SummarizedExperiment-method} \alias{disjointBins,SummarizedExperiment-method} \alias{distance,ANY,SummarizedExperiment-method} \alias{distance,SummarizedExperiment,ANY-method} \alias{distance,SummarizedExperiment,SummarizedExperiment-method} \alias{distanceToNearest,ANY,SummarizedExperiment-method} \alias{distanceToNearest,SummarizedExperiment,ANY-method} \alias{distanceToNearest,SummarizedExperiment,SummarizedExperiment-method} \alias{duplicated,SummarizedExperiment-method} \alias{elementMetadata,SummarizedExperiment-method} \alias{elementMetadata<-,SummarizedExperiment-method} \alias{end,SummarizedExperiment-method} \alias{end<-,SummarizedExperiment-method} \alias{findOverlaps,Vector,SummarizedExperiment-method} \alias{findOverlaps,SummarizedExperiment,Vector-method} \alias{findOverlaps,SummarizedExperiment,SummarizedExperiment-method} \alias{flank,SummarizedExperiment-method} \alias{follow,ANY,SummarizedExperiment-method} \alias{follow,SummarizedExperiment,ANY-method} \alias{follow,SummarizedExperiment,SummarizedExperiment-method} \alias{granges,SummarizedExperiment-method} \alias{isDisjoint,SummarizedExperiment-method} \alias{match,Vector,SummarizedExperiment-method} \alias{match,SummarizedExperiment,Vector-method} \alias{match,SummarizedExperiment,SummarizedExperiment-method} \alias{\%in\%,Vector,SummarizedExperiment-method} \alias{\%in\%,SummarizedExperiment,Vector-method} \alias{\%in\%,SummarizedExperiment,SummarizedExperiment-method} \alias{mcols,SummarizedExperiment-method} \alias{mcols<-,SummarizedExperiment-method} \alias{narrow,SummarizedExperiment-method} \alias{nearest,ANY,SummarizedExperiment-method} \alias{nearest,SummarizedExperiment,ANY-method} \alias{nearest,SummarizedExperiment,SummarizedExperiment-method} \alias{nearest,SummarizedExperiment,missing-method} \alias{order,SummarizedExperiment-method} \alias{overlapsAny,SummarizedExperiment,SummarizedExperiment-method} \alias{overlapsAny,SummarizedExperiment,Vector-method} \alias{overlapsAny,Vector,SummarizedExperiment-method} \alias{precede,ANY,SummarizedExperiment-method} \alias{precede,SummarizedExperiment,ANY-method} \alias{precede,SummarizedExperiment,SummarizedExperiment-method} \alias{ranges,SummarizedExperiment-method} \alias{ranges<-,SummarizedExperiment-method} \alias{rank,SummarizedExperiment-method} \alias{resize,SummarizedExperiment-method} \alias{restrict,SummarizedExperiment-method} \alias{seqinfo,SummarizedExperiment-method} \alias{seqlevelsInUse,SummarizedExperiment-method} \alias{seqinfo<-,SummarizedExperiment-method} \alias{seqnames,SummarizedExperiment-method} \alias{shift,SummarizedExperiment-method} \alias{sort,SummarizedExperiment-method} \alias{split,SummarizedExperiment-method} \alias{split,SummarizedExperiment,ANY-method} \alias{splitAsListReturnedClass,SummarizedExperiment-method} \alias{start,SummarizedExperiment-method} \alias{start<-,SummarizedExperiment-method} \alias{strand,SummarizedExperiment-method} \alias{strand<-,SummarizedExperiment-method} \alias{subsetByOverlaps,SummarizedExperiment,SummarizedExperiment-method} \alias{subsetByOverlaps,SummarizedExperiment,Vector-method} \alias{subsetByOverlaps,Vector,SummarizedExperiment-method} \alias{values,SummarizedExperiment-method} \alias{values<-,SummarizedExperiment-method} \alias{width,SummarizedExperiment-method} \alias{width<-,SummarizedExperiment-method} % show method: \alias{show,SummarizedExperiment-method} \title{SummarizedExperiment instances} \description{ The SummarizedExperiment class is a matrix-like container where rows represent ranges of interest (as a \code{\linkS4class{GRanges} or \linkS4class{GRangesList}-class}) and columns represent samples (with sample data summarized as a \code{\linkS4class{DataFrame}-class}). A \code{SummarizedExperiment} contains one or more assays, each represented by a matrix-like object of numeric or other mode. } \usage{ ## Constructors SummarizedExperiment(assays, ...) \S4method{SummarizedExperiment}{SimpleList}(assays, rowData = GRangesList(), colData = DataFrame(), exptData = SimpleList(), ..., verbose = FALSE) \S4method{SummarizedExperiment}{missing}(assays, ...) \S4method{SummarizedExperiment}{list}(assays, ...) \S4method{SummarizedExperiment}{matrix}(assays, ...) ## Accessors assays(x, ..., withDimnames=TRUE) assays(x, ...) <- value assay(x, i, ...) assay(x, i, ...) <- value rowData(x, ...) rowData(x, ...) <- value colData(x, ...) colData(x, ...) <- value exptData(x, ...) exptData(x, ...) <- value \S4method{dim}{SummarizedExperiment}(x) \S4method{dimnames}{SummarizedExperiment}(x) \S4method{dimnames}{SummarizedExperiment,NULL}(x) <- value \S4method{dimnames}{SummarizedExperiment,list}(x) <- value ## colData access \S4method{$}{SummarizedExperiment}(x, name) \S4method{$}{SummarizedExperiment,ANY}(x, name) <- value \S4method{[[}{SummarizedExperiment,ANY,missing}(x, i, j, ...) \S4method{[[}{SummarizedExperiment,ANY,missing,ANY}(x, i, j, ...) <- value ## rowData access ## see 'GRanges compatibility', below ## Subsetting \S4method{[}{SummarizedExperiment}(x, i, j, ..., drop=TRUE) \S4method{[}{SummarizedExperiment,ANY,ANY,SummarizedExperiment}(x, i, j) <- value ## Combining \S4method{cbind}{SummarizedExperiment}(..., deparse.level=1) \S4method{rbind}{SummarizedExperiment}(..., deparse.level=1) ## Coercion \S4method{updateObject}{SummarizedExperiment}(object, ..., verbose=FALSE) } \arguments{ \item{assays}{A \code{list} or \code{SimpleList} of matrix elements, or a \code{matrix}. All elements of the list must have the same dimensions, and dimension names (if present) must be consistent across elements and with the row names of \code{rowData} and \code{colData}.} \item{rowData}{A \code{GRanges} or \code{GRangesList} instance describing the ranges of interest. Row names, if present, become the row names of the \code{SummarizedExperiment}. The length of the \code{GRanges} or the \code{GRangesList} must equal the number of rows of the matrices in \code{assays}.} \item{colData}{An optional \code{DataFrame} describing the samples. Row names, if present, become the column names of the \code{SummarizedExperiment}.} \item{exptData}{An optional \code{SimpleList} of arbitrary content describing the overall experiment.} \item{...}{For \code{SummarizedExperiment}, S4 methods \code{list} and \code{matrix}, arguments identical to those of the \code{SimpleList} method. For \code{assay}, \code{...} may contain \code{withDimnames}, which is forwarded to \code{assays}. For \code{cbind, rbind}, \code{...} contains \code{SummarizedExperiment} objects to be combined. For other accessors, ignored. } \item{verbose}{A \code{logical(1)} indicating whether messages about data coercion during construction should be printed.} \item{x, object}{An instance of \code{SummarizedExperiment}-class.} \item{i, j}{For \code{assay}, \code{assay<-}, \code{i} is a integer or numeric scalar; see \sQuote{Details} for additional constraints. For \code{[,SummarizedExperiment}, \code{[,SummarizedExperiment<-}, \code{i}, \code{j} are instances that can act to subset the underlying \code{rowData}, \code{colData}, and \code{matrix} elements of \code{assays}. For \code{[[,SummarizedExperiment}, \code{[[<-,SummarizedExperiment}, \code{i} is a scalar index (e.g., \code{character(1)} or \code{integer(1)}) into a column of \code{colData}. } \item{name}{A symbol representing the name of a column of \code{colData}.} \item{withDimnames}{A \code{logical(1)}, indicating whether dimnames should be applied to extracted assay elements.} \item{drop}{A \code{logical(1)}, ignored by these methods.} \item{value}{An instance of a class specified in the S4 method signature or as outlined in \sQuote{Details}.} \item{deparse.level}{See \code{?base::\link[base]{cbind}} for a description of this argument.} } \details{ The \code{SummarizedExperiment} class is meant for numeric and other data types derived from a sequencing experiment. The structure is rectangular like a \code{matrix}, but with additional annotations on the rows and columns, and with the possibility to manage several assays simultaneously. The rows of a \code{SummarizedExperiment} instance represent ranges (in genomic coordinates) of interest. The ranges of interest are described by a \code{\linkS4class{GRanges}-class} or a \code{\linkS4class{GRangesList}-class} instance, accessible using the \code{rowData} function, described below. The \code{GRanges} and \code{GRangesList} classes contains sequence (e.g., chromosome) name, genomic coordinates, and strand information. Each range can be annotated with additional data; this data might be used to describe the range or to summarize results (e.g., statistics of differential abundance) relevant to the range. Rows may or may not have row names; they often will not. Each column of a \code{SummarizedExperiment} instance represents a sample. Information about the samples are stored in a \code{\linkS4class{DataFrame}-class}, accessible using the function \code{colData}, described below. The \code{DataFrame} must have as many rows as there are columns in the \code{SummarizedExperiment}, with each row of the \code{DataFrame} providing information on the sample in the corresponding column of the \code{SummarizedExperiment}. Columns of the \code{DataFrame} represent different sample attributes, e.g., tissue of origin, etc. Columns of the \code{DataFrame} can themselves be annotated (via the \code{\link{mcols}} function). Column names typically provide a short identifier unique to each sample. A \code{SummarizedExperiment} can also contain information about the overall experiment, for instance the lab in which it was conducted, the publications with which it is associated, etc. This information is stored as a \code{\linkS4class{SimpleList}-class}, accessible using the \code{exptData} function. The form of the data associated with the experiment is left to the discretion of the user. The \code{SummarizedExperiment} is appropriate for matrix-like data. The data are accessed using the \code{assays} function, described below. This returns a \code{SimpleList}-class instance. Each element of the list must itself be a matrix (of any mode) and must have dimensions that are the same as the dimensions of the \code{SummarizedExperiment} in which they are stored. Row and column names of each matrix must either be \code{NULL} or match those of the \code{SummarizedExperiment} during construction. It is convenient for the elements of \code{SimpleList} of assays to be named. The \code{SummarizedExperiment} class has the following slots; this detail of class structure is not relevant to the user. \describe{ \item{\code{exptData}}{A \link{SimpleList}-class instance containing information about the overall experiment.} \item{\code{rowData}}{A \link{GRanges}-class instance defining the ranges of interest and associated metadata.} \item{\code{colData}}{A \link{DataFrame}-class instance describing the samples and associated metadata.} \item{\code{assays}}{A \link{SimpleList}-class instance, each element of which is a matrix summarizing data associated with the corresponding range and sample.} } } \section{Constructor}{ Instances are constructed using the \code{SummarizedExperiment} function with arguments outlined above. } \section{Coercion}{ Package version 1.9.59 introduced a new way of representing \sQuote{assays}. If you have a serialized instance \code{x} of a \code{SummarizedExperiment} (e.g., from using the \code{save} function with a version of GenomicRanges prior to 1.9.59), it should be updated by invoking \code{x <- updateObject(x)}. } \section{Accessors}{ In the following code snippets, \code{x} is a \code{SummarizedExperiment} instance. \describe{ \item{\code{assays(x)}, \code{assays(x) <- value}:}{Get or set the assays. \code{value} is a \code{list} or \code{SimpleList}, each element of which is a matrix with the same dimensions as \code{x}.} \item{\code{assay(x, i)}, \code{assay(x, i) <- value}:}{A convenient alternative (to \code{assays(x)[[i]]}, \code{assays(x)[[i]] <- value}) to get or set the \code{i}th (default first) assay element. \code{value} must be a matrix of the same dimension as \code{x}, and with dimension names \code{NULL} or consistent with those of \code{x}.} \item{\code{rowData(x)}, \code{rowData(x) <- value}:}{Get or set the row data. \code{value} is a \code{GenomicRanges} instance. Row names of \code{value} must be NULL or consistent with the existing row names of \code{x}.} \item{\code{colData(x)}, \code{colData(x) <- value}:}{Get or set the column data. \code{value} is a \code{DataFrame} instance. Row names of \code{value} must be NULL or consistent with the existing column names of \code{x}.} \item{\code{exptData(x)}, \code{exptData(x) <- value}:}{Get or set the experiment data. \code{value} is a \code{list} or \code{SimpleList} instance, with arbitrary content.} \item{\code{dim(x)}:}{Get the dimensions (ranges x samples) of the \code{SummarizedExperiment}.} \item{\code{dimnames(x)}, \code{dimnames(x) <- value}:}{Get or set the dimension names. \code{value} is usually a list of length 2, containing elements that are either \code{NULL} or vectors of appropriate length for the corresponding dimension. \code{value} can be \code{NULL}, which removes dimension names. This method implies that \code{rownames}, \code{rownames<-}, \code{colnames}, and \code{colnames<-} are all available.} } } \section{GRanges compatibility (rowData access)}{ Many \code{\linkS4class{GRanges}-class} and \code{\linkS4class{GRangesList}-class} operations are supported on \sQuote{SummarizedExperiment} and derived instances, using \code{rowData}. Supported operations include: \code{\link{compare}}, \code{\link{countOverlaps}}, \code{\link{coverage}}, \code{\link{disjointBins}}, \code{\link{distance}}, \code{\link{distanceToNearest}}, \code{\link{duplicated}}, \code{\link{end}}, \code{\link{end<-}}, \code{\link{findOverlaps}}, \code{\link{flank}}, \code{\link{follow}}, \code{\link{granges}}, \code{\link{isDisjoint}}, \code{\link{match}}, \code{\link{mcols}}, \code{\link{mcols<-}}, \code{\link{narrow}}, \code{\link{nearest}}, \code{\link{order}}, \code{\link{overlapsAny}}, \code{\link{precede}}, \code{\link{ranges}}, \code{\link{ranges<-}}, \code{\link{rank}}, \code{\link{resize}}, \code{\link{restrict}}, \code{\link{seqinfo}}, \code{\link{seqinfo<-}}, \code{\link{seqnames}}, \code{\link{shift}}, \code{\link{sort}}, \code{split}, \code{splitAsListReturnedClass}, \code{\link{start}}, \code{\link{start<-}}, \code{\link{strand}}, \code{\link{strand<-}}, \code{\link{subsetByOverlaps}}, \code{\link{width}}, \code{\link{width<-}}. Not all \code{\link{GRanges}-class} operations are supported, because they do not make sense for \sQuote{SummarizedExperiment} objects (e.g., length, name, as.data.frame, c, splitAsList), involve non-trivial combination or splitting of rows (e.g., disjoin, gaps, reduce, unique), or have not yet been implemented (Ops, map, window, window<-). } \section{Subsetting}{ In the code snippets below, \code{x} is a \code{SummarizedExperiment} instance. \describe{ \item{\code{x[i,j]}, \code{x[i,j] <- value}:}{Create or replace a subset of \code{x}. \code{i}, \code{j} can be \code{numeric}, \code{logical}, \code{character}, or \code{missing}. \code{value} must be a \code{SummarizedExperiment} instance with dimensions, dimension names, and assay elements consistent with the subset \code{x[i,j]} being replaced.} } Additional subsetting accessors provide convenient access to \code{colData} columns \describe{ \item{\code{x$name}, \code{x$name <- value}}{Access or replace column \code{name} in \code{x}.} \item{\code{x[[i, ...]]}, \code{x[[i, ...]] <- value}}{Access or replace column \code{i} in \code{x}.} } } \section{Combining}{ In the code snippets below, \code{...} are \code{SummarizedExperiment} instances to be combined. \describe{ \item{\code{cbind(...)}, \code{rbind(...)}:}{ \code{cbind} combines objects with identical ranges (\code{rowData}) but different samples (columns in \code{assays}). The colnames in \code{colData} must match or an error is thrown. Duplicate columns of \code{mcols(rowData(SummarizedExperiment))} must contain the same data. \code{rbind} combines objects with different ranges (\code{rowData}) and the same subjects (columns in \code{assays}). Duplicate columns of \code{colData} must contain the same data. \code{exptData} from all objects are combined into a \code{SimpleList} with no name checking. } } } \section{Implementation and Extension}{ This section contains advanced material meant for package developers. \code{SummarizedExperiment} is implemented as an S4 class, and can be extended in the usual way, using \code{contains="SummarizedExperiment"} in the new class definition. In addition, the representation of the \code{assays} slot of \code{SummarizedExperiment} is as a virtual class \code{Assays}. This allows derived classes (\code{contains="Assays"}) to easily implement alternative requirements for the assays, e.g., backed by file-based storage like NetCDF or the \code{ff} package, while re-using the existing \code{SummarizedExperiment} class without modification. The requirements on \code{Assays} are list-like semantics (e.g., \code{sapply}, \code{[[} subsetting, \code{names}) with elements having matrix- or array-like semantics (e.g., \code{dim}, \code{dimnames}). These requirements can be made more precise if developers express interest. The current \code{assays} slot is implemented as a reference class that has copy-on-change semantics. This means that modifying non-assay slots does not copy the (large) assay data, and at the same time the user is not surprised by reference-based semantics. Updates to non-assay slots are very fast; updating the assays slot itself can be 5x or more faster than with an S4 instance in the slot. In a little more detail, a small reference class hierarchy (not exported from the GenomicRanges name space) defines a reference class \code{ShallowData} with a single field \code{data} of type \code{ANY}, and a derived class \code{ShallowSimpleListAssays} that specializes the type of \code{data} as \code{SimpleList}, and \code{contains=c("ShallowData", "Assays")}. The assays slot contains an instance of \code{ShallowSimpleListAssays}. Invoking \code{assays()} on a \code{SummarizedExperiment} re-dispatches from the \code{assays} slot to retrieve the \code{SimpleList} from the field of the reference class. This was achieved by implementing a generic (not exported) \code{value(x, name, ...)}, with a method implemented on \code{SummarizedExperiment} that retrieves a slot when \code{name} is a slot containing an S4 object in \code{x}, and a field when \code{name} is a slot containing a \code{ShallowData} instance in \code{x}. Copy-on-change semantics is maintained by implementing the \code{clone} method (\code{clone} methods are supposed to do a deep copy, \code{update} methods a shallow copy; the \code{clone} generic is introduced, and not exported, in the GenomicRanges package). The \sQuote{getter} and \sQuote{setter} code for methods implemented on \code{SummarizedExperiment} use \code{value} for slot access, and \code{clone} for replacement. This makes it easy to implement \code{ShallowData} instances for other slots if the need arises. } \author{Martin Morgan, \url{mtmorgan@fhcrc.org}} \seealso{ \link{GRanges}, \link[IRanges]{DataFrame}, \link[IRanges]{SimpleList}, } \examples{ nrows <- 200; ncols <- 6 counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows) rowData <- GRanges(rep(c("chr1", "chr2"), c(50, 150)), IRanges(floor(runif(200, 1e5, 1e6)), width=100), strand=sample(c("+", "-"), 200, TRUE)) colData <- DataFrame(Treatment=rep(c("ChIP", "Input"), 3), row.names=LETTERS[1:6]) sset <- SummarizedExperiment(assays=SimpleList(counts=counts), rowData=rowData, colData=colData) sset assays(sset) <- endoapply(assays(sset), asinh) head(assay(sset)) sset[, sset$Treatment == "ChIP"] ## cbind combines objects with the same ranges and different samples. se1 <- sset se2 <- se1[,1:3] colnames(se2) <- letters[1:ncol(se2)] cmb1 <- cbind(se1, se2) ## rbind combins objects with the same samples and different ranges. se1 <- sset se2 <- se1[1:50,] rownames(se2) <- letters[1:nrow(se2)] cmb2 <- rbind(se1, se2) } GenomicRanges/man/cigar-utils.Rd0000644000126300012640000004416212227070335020153 0ustar00biocbuildphs_compbio\name{cigar-utils} \alias{cigar-utils} \alias{validCigar} \alias{CIGAR_OPS} \alias{explodeCigarOps} \alias{explodeCigarOpLengths} \alias{cigarToRleList} \alias{cigarOpTable} \alias{cigarRangesAlongReferenceSpace} \alias{cigarRangesAlongQuerySpace} \alias{cigarRangesAlongPairwiseSpace} \alias{extractAlignmentRangesOnReference} \alias{cigarWidthAlongReferenceSpace} \alias{cigarWidthAlongQuerySpace} \alias{cigarWidthAlongPairwiseSpace} \alias{cigarNarrow} \alias{cigarQNarrow} \alias{queryLoc2refLoc} \alias{queryLocs2refLocs} % Old stuff: \alias{splitCigar} \alias{cigarToIRanges} \alias{cigarToIRangesListByAlignment} \alias{cigarToIRangesListByRName} \alias{cigarToWidth} \alias{cigarToQWidth} \alias{cigarToCigarTable} \alias{summarizeCigarTable} \title{ CIGAR utility functions } \description{ Utility functions for low-level CIGAR manipulation. } \usage{ ## -=-= Supported CIGAR operations =-=- CIGAR_OPS ## -=-= Transform CIGARs into other useful representations =-=- explodeCigarOps(cigar, ops=CIGAR_OPS) explodeCigarOpLengths(cigar, ops=CIGAR_OPS) cigarToRleList(cigar) ## -=-= Summarize CIGARs =-=- cigarOpTable(cigar) ## -=-= From CIGARs to ranges =-=- cigarRangesAlongReferenceSpace(cigar, flag=NULL, N.regions.removed=FALSE, pos=1L, f=NULL, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) cigarRangesAlongQuerySpace(cigar, flag=NULL, before.hard.clipping=FALSE, after.soft.clipping=FALSE, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) cigarRangesAlongPairwiseSpace(cigar, flag=NULL, N.regions.removed=FALSE, dense=FALSE, ops=CIGAR_OPS, drop.empty.ranges=FALSE, reduce.ranges=FALSE, with.ops=FALSE) extractAlignmentRangesOnReference(cigar, pos=1L, drop.D.ranges=FALSE, f=NULL) ## -=-= From CIGARs to sequence lengths =-=- cigarWidthAlongReferenceSpace(cigar, flag=NULL, N.regions.removed=FALSE) cigarWidthAlongQuerySpace(cigar, flag=NULL, before.hard.clipping=FALSE, after.soft.clipping=FALSE) cigarWidthAlongPairwiseSpace(cigar, flag=NULL, N.regions.removed=FALSE, dense=FALSE) ## -=-= Narrow CIGARs =-=- cigarNarrow(cigar, start=NA, end=NA, width=NA) cigarQNarrow(cigar, start=NA, end=NA, width=NA) ## -=-= Translate coordinates between query and reference spaces =-=- queryLoc2refLoc(qloc, cigar, pos=1L) queryLocs2refLocs(qlocs, cigar, pos=1L, flag=NULL) } \arguments{ \item{cigar}{ A character vector or factor containing the extended CIGAR strings. It can be of arbitrary length except for \code{queryLoc2refLoc} which only accepts a single CIGAR (as a character vector or factor of length 1). } \item{ops}{ Character vector containing the extended CIGAR operations to actually consider. Zero-length operations or operations not listed \code{ops} are ignored. } \item{flag}{ \code{NULL} or an integer vector containing the SAM flag for each read. According to the SAM Spec v1.4, flag bit 0x4 is the only reliable place to tell whether a segment (or read) is mapped (bit is 0) or not (bit is 1). If \code{flag} is supplied, then \code{cigarRangesAlongReferenceSpace}, \code{cigarRangesAlongQuerySpace}, \code{cigarRangesAlongPairwiseSpace}, and \code{extractAlignmentRangesOnReference} don't produce any range for unmapped reads i.e. they treat them as if their CIGAR was empty (independently of what their CIGAR is). If \code{flag} is supplied, then \code{cigarWidthAlongReferenceSpace}, \code{cigarWidthAlongQuerySpace}, and \code{cigarWidthAlongPairwiseSpace} return \code{NA}s for unmapped reads. } \item{N.regions.removed}{ \code{TRUE} or \code{FALSE}. If \code{TRUE}, then \code{cigarRangesAlongReferenceSpace} and \code{cigarWidthAlongReferenceSpace} report ranges/widths with respect to the "reference" space from which the N regions have been removed, and \code{cigarRangesAlongPairwiseSpace} and \code{cigarWidthAlongPairwiseSpace} report them with respect to the "pairwise" space from which the N regions have been removed. } \item{pos}{ An integer vector containing the 1-based leftmost position/coordinate for each (eventually clipped) read sequence. Must have length 1 (in which case it's recycled to the length of \code{cigar}), or the same length as \code{cigar}. } \item{f}{ \code{NULL} or a factor of length \code{cigar}. If \code{NULL}, then the ranges are grouped by alignment i.e. the returned \link[IRanges]{IRangesList} object has 1 list element per element in \code{cigar}. Otherwise they are grouped by factor level i.e. the returned \link[IRanges]{IRangesList} object has 1 list element per level in \code{f} and is named with those levels. For example, if \code{f} is a factor containing the chromosome for each read, then the returned \link[IRanges]{IRangesList} object will have 1 list element per chromosome and each list element will contain all the ranges on that chromosome. } \item{drop.empty.ranges}{ Should empty ranges be dropped? } \item{reduce.ranges}{ Should adjacent ranges coming from the same cigar be merged or not? Using \code{TRUE} can significantly reduce the size of the returned object. } \item{with.ops}{ \code{TRUE} or \code{FALSE} indicating whether the returned ranges should be named with their corresponding CIGAR operation. } \item{before.hard.clipping}{ \code{TRUE} or \code{FALSE}. If \code{TRUE}, then \code{cigarRangesAlongQuerySpace} and \code{cigarWidthAlongQuerySpace} report ranges/widths with respect to the "query" space to which the H regions have been added. \code{before.hard.clipping} and \code{after.soft.clipping} cannot both be \code{TRUE}. } \item{after.soft.clipping}{ \code{TRUE} or \code{FALSE}. If \code{TRUE}, then \code{cigarRangesAlongQuerySpace} and \code{cigarWidthAlongQuerySpace} report ranges/widths with respect to the "query" space from which the S regions have been removed. \code{before.hard.clipping} and \code{after.soft.clipping} cannot both be \code{TRUE}. } \item{dense}{ \code{TRUE} or \code{FALSE}. If \code{TRUE}, then \code{cigarRangesAlongPairwiseSpace} and \code{cigarWidthAlongPairwiseSpace} report ranges/widths with respect to the "pairwise" space from which the I, D, and N regions have been removed. \code{N.regions.removed} and \code{dense} cannot both be \code{TRUE}. } \item{drop.D.ranges}{ Should the ranges corresponding to a deletion from the reference (encoded with a D in the CIGAR) be dropped? By default we keep them to be consistent with the pileup tool from SAMtools. Note that, when \code{drop.D.ranges} is \code{TRUE}, then Ds and Ns in the CIGAR are equivalent. } \item{start,end,width}{ Vectors of integers. NAs and negative values are accepted and "solved" according to the rules of the SEW (Start/End/Width) interface (see \code{?\link[IRanges]{solveUserSEW}} for the details). } \item{qloc}{ An integer vector containing "query-based locations" i.e. 1-based locations relative to the query sequence stored in the SAM/BAM file. } \item{qlocs}{ A list of the same length as \code{cigar} where each element is an integer vector containing "query-based locations" i.e. 1-based locations relative to the corresponding query sequence stored in the SAM/BAM file. } } \value{ \code{CIGAR_OPS} is a predefined character vector containing the supported extended CIGAR operations: M, I, D, N, S, H, P, =, X. See p. 4 of the SAM Spec v1.4 at \url{http://samtools.sourceforge.net/} for the list of extended CIGAR operations and their meanings. For \code{explodeCigarOps} and \code{explodeCigarOpLengths}: Both functions return a list of the same length as \code{cigar} where each list element is a character vector (for \code{explodeCigarOps}) or an integer vector (for \code{explodeCigarOpLengths}). The 2 lists have the same shape, that is, same \code{length()} and same \code{elementLengths()}. The i-th character vector in the list returned by \code{explodeCigarOps} contains one single-letter string per CIGAR operation in \code{cigar[i]}. The i-th integer vector in the list returned by \code{explodeCigarOpLengths} contains the corresponding CIGAR operation lengths. Zero-length operations or operations not listed in \code{ops} are ignored. For \code{cigarToRleList}: A \link[IRanges]{CompressedRleList} object. For \code{cigarOpTable}: An integer matrix with number of rows equal to the length of \code{cigar} and nine columns, one for each extended CIGAR operation. For \code{cigarRangesAlongReferenceSpace}, \code{cigarRangesAlongQuerySpace}, \code{cigarRangesAlongPairwiseSpace}, and \code{extractAlignmentRangesOnReference}: An \link[IRanges]{IRangesList} object (more precisely a \link[IRanges]{CompressedIRangesList} object) with 1 list element per element in \code{cigar}. However, if \code{f} is a factor, then the returned \link[IRanges]{IRangesList} object can be a \link[IRanges]{SimpleIRangesList} object (instead of \link[IRanges]{CompressedIRangesList}), and it has 1 list element per level in \code{f} and is named with those levels. For \code{cigarWidthAlongReferenceSpace} and \code{cigarWidthAlongPairwiseSpace}: An integer vector of the same length as \code{cigar} where each element is the width of the alignment with respect to the "reference" and "pairwise" space, respectively. More precisely, for \code{cigarWidthAlongReferenceSpace}, the returned widths are the lengths of the alignments on the reference, N gaps included (except if \code{N.regions.removed} is \code{TRUE}). NAs or \code{"*"} in \code{cigar} will produce NAs in the returned vector. For \code{cigarWidthAlongQuerySpace}: An integer vector of the same length as \code{cigar} where each element is the length of the corresponding query sequence as inferred from the CIGAR string. Note that, by default (i.e. if \code{before.hard.clipping} and \code{after.soft.clipping} are \code{FALSE}), this is the length of the query sequence stored in the SAM/BAM file. If \code{before.hard.clipping} or \code{after.soft.clipping} is \code{TRUE}, the returned widths are the lengths of the query sequences before hard clipping or after soft clipping. NAs or \code{"*"} in \code{cigar} will produce NAs in the returned vector. For \code{cigarNarrow} and \code{cigarQNarrow}: A character vector of the same length as \code{cigar} containing the narrowed cigars. In addition the vector has an "rshift" attribute which is an integer vector of the same length as \code{cigar}. It contains the values that would need to be added to the POS field of a SAM/BAM file as a consequence of this cigar narrowing. For \code{queryLoc2refLoc}: An integer vector of the same length as \code{qloc} containing the "reference-based locations" (i.e. the 1-based locations relative to the reference sequence) corresponding to the "query-based locations" passed in \code{qloc}. For \code{queryLocs2refLocs}: A list of the same length as \code{qlocs} where each element is an integer vector containing the "reference-based locations" corresponding to the "query-based locations" passed in the corresponding element in \code{qlocs}. } \references{ \url{http://samtools.sourceforge.net/} } \author{ H. Pages and P. Aboyoun } \seealso{ \itemize{ \item The \link[Rsamtools]{sequenceLayer} function in the \pkg{Rsamtools} package for laying the query sequences alongside the "reference" or "pairwise" spaces. \item The \link{GAlignments} container for storing a set of genomic alignments. \item The \link[IRanges]{IRanges}, \link[IRanges]{IRangesList}, and \link[IRanges]{RleList} classes in the \pkg{IRanges} package. \item The \code{\link[IRanges]{coverage}} generic and methods for computing the coverage across a set of ranges or genomic ranges. } } \examples{ ## --------------------------------------------------------------------- ## A. CIGAR_OPS, explodeCigarOps(), explodeCigarOpLengths(), ## cigarToRleList(), and cigarOpTable() ## --------------------------------------------------------------------- ## Supported CIGAR operations: CIGAR_OPS ## Transform CIGARs into other useful representations: cigar1 <- "3H15M55N4M2I6M2D5M6S" cigar2 <- c("40M2I9M", cigar1, "2S10M2000N15M", "3H33M5H") explodeCigarOps(cigar2) explodeCigarOpLengths(cigar2) explodeCigarOpLengths(cigar2, ops=c("I", "S")) cigarToRleList(cigar2) ## Summarize CIGARs: cigarOpTable(cigar2) ## --------------------------------------------------------------------- ## B. From CIGARs to ranges and to sequence lengths ## --------------------------------------------------------------------- ## CIGAR ranges along the "reference" space: cigarRangesAlongReferenceSpace(cigar1, with.ops=TRUE)[[1]] cigarRangesAlongReferenceSpace(cigar1, reduce.ranges=TRUE, with.ops=TRUE)[[1]] ops <- setdiff(CIGAR_OPS, "N") cigarRangesAlongReferenceSpace(cigar1, ops=ops, with.ops=TRUE)[[1]] cigarRangesAlongReferenceSpace(cigar1, ops=ops, reduce.ranges=TRUE, with.ops=TRUE)[[1]] ops <- setdiff(CIGAR_OPS, c("D", "N")) cigarRangesAlongReferenceSpace(cigar1, ops=ops, with.ops=TRUE)[[1]] cigarWidthAlongReferenceSpace(cigar1) pos2 <- c(1, 1001, 1, 351) cigarRangesAlongReferenceSpace(cigar2, pos=pos2, with.ops=TRUE) res1a <- extractAlignmentRangesOnReference(cigar2, pos=pos2) res1b <- cigarRangesAlongReferenceSpace(cigar2, pos=pos2, ops=setdiff(CIGAR_OPS, "N"), reduce.ranges=TRUE) stopifnot(identical(res1a, res1b)) res2a <- extractAlignmentRangesOnReference(cigar2, pos=pos2, drop.D.ranges=TRUE) res2b <- cigarRangesAlongReferenceSpace(cigar2, pos=pos2, ops=setdiff(CIGAR_OPS, c("D", "N")), reduce.ranges=TRUE) stopifnot(identical(res2a, res2b)) seqnames <- factor(c("chr6", "chr6", "chr2", "chr6"), levels=c("chr2", "chr6")) extractAlignmentRangesOnReference(cigar2, pos=pos2, f=seqnames) ## CIGAR ranges along the "query" space: cigarRangesAlongQuerySpace(cigar2, with.ops=TRUE) cigarWidthAlongQuerySpace(cigar1) cigarWidthAlongQuerySpace(cigar1, before.hard.clipping=TRUE) ## CIGAR ranges along the "pairwise" space: cigarRangesAlongPairwiseSpace(cigar2, with.ops=TRUE) cigarRangesAlongPairwiseSpace(cigar2, dense=TRUE, with.ops=TRUE) ## --------------------------------------------------------------------- ## C. PERFORMANCE ## --------------------------------------------------------------------- if (interactive()) { ## We simulate 20 millions aligned reads, all 40-mers. 95% of them ## align with no indels. 5% align with a big deletion in the ## reference. In the context of an RNAseq experiment, those 5% would ## be suspected to be "junction reads". set.seed(123) nreads <- 20000000L njunctionreads <- nreads * 5L / 100L cigar3 <- character(nreads) cigar3[] <- "40M" junctioncigars <- paste( paste(10:30, "M", sep=""), paste(sample(80:8000, njunctionreads, replace=TRUE), "N", sep=""), paste(30:10, "M", sep=""), sep="") cigar3[sample(nreads, njunctionreads)] <- junctioncigars some_fake_rnames <- paste("chr", c(1:6, "X"), sep="") rname <- factor(sample(some_fake_rnames, nreads, replace=TRUE), levels=some_fake_rnames) pos <- sample(80000000L, nreads, replace=TRUE) ## The following takes < 3 sec. to complete: system.time(irl1 <- extractAlignmentRangesOnReference(cigar3, pos=pos)) ## The following takes < 4 sec. to complete: system.time(irl2 <- extractAlignmentRangesOnReference(cigar3, pos=pos, f=rname)) ## The sizes of the resulting objects are about 240M and 160M, ## respectively: object.size(irl1) object.size(irl2) } ## --------------------------------------------------------------------- ## D. COMPUTE THE COVERAGE OF THE READS STORED IN A BAM FILE ## --------------------------------------------------------------------- ## The information stored in a BAM file can be used to compute the ## "coverage" of the mapped reads i.e. the number of reads that hit any ## given position in the reference genome. ## The following function takes the path to a BAM file and returns an ## object representing the coverage of the mapped reads that are stored ## in the file. The returned object is an RleList object named with the ## names of the reference sequences that actually receive some coverage. extractCoverageFromBAM <- function(file) { ## This ScanBamParam object allows us to load only the necessary ## information from the file. param <- ScanBamParam(flag=scanBamFlag(isUnmappedQuery=FALSE, isDuplicate=FALSE), what=c("rname", "pos", "cigar")) bam <- scanBam(file, param=param)[[1]] ## Note that unmapped reads and reads that are PCR/optical duplicates ## have already been filtered out by using the ScanBamParam object above. irl <- extractAlignmentRangesOnReference(bam$cigar, pos=bam$pos, f=bam$rname) irl <- irl[elementLengths(irl) != 0] # drop empty elements coverage(irl) } library(Rsamtools) f1 <- system.file("extdata", "ex1.bam", package="Rsamtools") extractCoverageFromBAM(f1) ## --------------------------------------------------------------------- ## E. cigarNarrow() and cigarQNarrow() ## --------------------------------------------------------------------- ## cigarNarrow(): cigarNarrow(cigar1) # only drops the soft/hard clipping cigarNarrow(cigar1, start=10) cigarNarrow(cigar1, start=15) cigarNarrow(cigar1, start=15, width=57) cigarNarrow(cigar1, start=16) #cigarNarrow(cigar1, start=16, width=55) # ERROR! (empty cigar) cigarNarrow(cigar1, start=71) cigarNarrow(cigar1, start=72) cigarNarrow(cigar1, start=75) ## cigarQNarrow(): cigarQNarrow(cigar1, start=4, end=-3) cigarQNarrow(cigar1, start=10) cigarQNarrow(cigar1, start=19) cigarQNarrow(cigar1, start=24) } \keyword{manip} GenomicRanges/man/constraint.Rd0000644000126300012640000003355412227070335020117 0ustar00biocbuildphs_compbio\name{Constraints} \alias{Constraints} \alias{class:Constraint} \alias{Constraint-class} \alias{Constraint} \alias{class:ConstraintORNULL} \alias{ConstraintORNULL-class} \alias{ConstraintORNULL} \alias{constraint} \alias{constraint<-} \alias{checkConstraint} \title{Enforcing constraints thru Constraint objects} \description{ Attaching a Constraint object to an object of class A (the "constrained" object) is meant to be a convenient/reusable/extensible way to enforce a particular set of constraints on particular instances of A. THIS IS AN EXPERIMENTAL FEATURE AND STILL VERY MUCH A WORK-IN-PROGRESS! } \details{ For the developper, using constraints is an alternative to the more traditional approach that consists in creating subclasses of A and implementing specific validity methods for each of them. However, using constraints offers the following advantages over the traditional approach: \itemize{ \item The traditional approach often tends to lead to a proliferation of subclasses of A. \item Constraints can easily be re-used across different classes without the need to create any new class. \item Constraints can easily be combined. } All constraints are implemented as concrete subclasses of the Constraint class, which is a virtual class with no slots. Like the Constraint virtual class itself, concrete Constraint subclasses cannot have slots. Here are the 7 steps typically involved in the process of putting constraints on objects of class A: \enumerate{ \item Add a slot named \code{constraint} to the definition of class A. The type of this slot must be ConstraintORNULL. Note that any subclass of A will inherit this slot. \item Implements the \code{constraint()} accessors (getter and setter) for objects of class A. This is done by implementing the \code{"constraint"} method (getter) and replacement method (setter) for objects of class A (see the examples below). As a convenience to the user, the setter should also accept the name of a constraint (i.e. the name of its class) in addition to an instance of that class. Note that those accessors will work on instances of any subclass of A. \item Modify the validity method for class A so it also returns the result of \code{checkConstraint(x, constraint(x))} (append this result to the result returned by the validity method). \item Testing: Create \code{x}, an instance of class A (or subclass of A). By default there is no constraint on it (\code{constraint(x)} is \code{NULL}). \code{validObject(x)} should return \code{TRUE}. \item Create a new constraint (MyConstraint) by extending the Constraint class, typically with \code{setClass("MyConstraint", contains="Constraint")}. This constraint is not enforcing anything yet so you could put it on \code{x} (with \code{constraint(x) <- "MyConstraint"}), but not much would happen. In order to actually enforce something, a \code{"checkConstraint"} method for signature \code{c(x="A", constraint="MyConstraint")} needs to be implemented. \item Implement a \code{"checkConstraint"} method for signature \code{c(x="A", constraint="MyConstraint")}. Like validity methods, \code{"checkConstraint"} methods must return \code{NULL} or a character vector describing the problems found. Like validity methods, they should never fail (i.e. they should never raise an error). Note that, alternatively, an existing constraint (e.g. SomeConstraint) can be adapted to work on objects of class A by just defining a new \code{"checkConstraint"} method for signature \code{c(x="A", constraint="SomeConstraint")}. Also, stricter constraints can be built on top of existing constraints by extending one or more existing constraints (see the examples below). \item Testing: Try \code{constraint(x) <- "MyConstraint"}. It will or will not work depending on whether \code{x} satisfies the constraint or not. In the former case, trying to modify \code{x} in a way that breaks the constraint on it will also raise an error. } } \note{ WARNING: This note is not true anymore as the \code{constraint} slot has been temporarily removed from \link{GenomicRanges} objects (starting with package GenomicRanges >= 1.7.9). Currently, only \link{GenomicRanges} objects can be constrained, that is: \itemize{ \item they have a \code{constraint} slot; \item they have \code{constraint()} accessors (getter and setter) for this slot; \item their validity method has been modified so it also returns the result of \code{checkConstraint(x, constraint(x))}. } More classes in the GenomicRanges and IRanges packages will support constraints in the near future. } \author{H. Pages} \seealso{ \code{\link{setClass}}, \code{\link{is}}, \code{\link{setMethod}}, \code{\link{showMethods}}, \code{\link{validObject}}, \link{GenomicRanges-class} } \examples{ ## The examples below show how to define and set constraints on ## GenomicRanges objects. Note that this is how the constraint() ## setter is defined for GenomicRanges objects: #setReplaceMethod("constraint", "GenomicRanges", # function(x, value) # { # if (isSingleString(value)) # value <- new(value) # if (!is(value, "ConstraintORNULL")) # stop("the supplied 'constraint' must be a ", # "Constraint object, a single string, or NULL") # x@constraint <- value # validObject(x) # x # } #) #selectMethod("constraint", "GenomicRanges") # the getter #selectMethod("constraint<-", "GenomicRanges") # the setter ## We'll use the GRanges instance 'gr' created in the GRanges examples ## to test our constraints: example(GRanges, echo=FALSE) gr #constraint(gr) ## --------------------------------------------------------------------- ## EXAMPLE 1: The HasRangeTypeCol constraint. ## --------------------------------------------------------------------- ## The HasRangeTypeCol constraint checks that the constrained object ## has a unique "rangeType" metadata column and that this column ## is a 'factor' Rle with no NAs and with the following levels ## (in this order): gene, transcript, exon, cds, 5utr, 3utr. setClass("HasRangeTypeCol", contains="Constraint") ## Like validity methods, "checkConstraint" methods must return NULL or ## a character vector describing the problems found. They should never ## fail i.e. they should never raise an error. setMethod("checkConstraint", c("GenomicRanges", "HasRangeTypeCol"), function(x, constraint, verbose=FALSE) { x_mcols <- mcols(x) idx <- match("rangeType", colnames(x_mcols)) if (length(idx) != 1L || is.na(idx)) { msg <- c("'mcols(x)' must have exactly 1 column ", "named \"rangeType\"") return(paste(msg, collapse="")) } rangeType <- x_mcols[[idx]] .LEVELS <- c("gene", "transcript", "exon", "cds", "5utr", "3utr") if (!is(rangeType, "Rle") || IRanges:::anyMissing(runValue(rangeType)) || !identical(levels(rangeType), .LEVELS)) { msg <- c("'mcols(x)$rangeType' must be a ", "'factor' Rle with no NAs and with levels: ", paste(.LEVELS, collapse=", ")) return(paste(msg, collapse="")) } NULL } ) #\dontrun{ #constraint(gr) <- "HasRangeTypeCol" # will fail #} checkConstraint(gr, new("HasRangeTypeCol")) # with GenomicRanges >= 1.7.9 levels <- c("gene", "transcript", "exon", "cds", "5utr", "3utr") rangeType <- Rle(factor(c("cds", "gene"), levels=levels), c(8, 2)) mcols(gr)$rangeType <- rangeType #constraint(gr) <- "HasRangeTypeCol" # OK checkConstraint(gr, new("HasRangeTypeCol")) # with GenomicRanges >= 1.7.9 ## Use is() to check whether the object has a given constraint or not: #is(constraint(gr), "HasRangeTypeCol") # TRUE #\dontrun{ #mcols(gr)$rangeType[3] <- NA # will fail #} mcols(gr)$rangeType[3] <- NA checkConstraint(gr, new("HasRangeTypeCol")) # with GenomicRanges >= 1.7.9 ## --------------------------------------------------------------------- ## EXAMPLE 2: The GeneRanges constraint. ## --------------------------------------------------------------------- ## The GeneRanges constraint is defined on top of the HasRangeTypeCol ## constraint. It checks that all the ranges in the object are of type ## "gene". setClass("GeneRanges", contains="HasRangeTypeCol") ## The checkConstraint() generic will check the HasRangeTypeCol constraint ## first, and, only if it's statisfied, it will then check the GeneRanges ## constraint. setMethod("checkConstraint", c("GenomicRanges", "GeneRanges"), function(x, constraint, verbose=FALSE) { rangeType <- mcols(x)$rangeType if (!all(rangeType == "gene")) { msg <- c("all elements in 'mcols(x)$rangeType' ", "must be equal to \"gene\"") return(paste(msg, collapse="")) } NULL } ) #\dontrun{ #constraint(gr) <- "GeneRanges" # will fail #} checkConstraint(gr, new("GeneRanges")) # with GenomicRanges >= 1.7.9 mcols(gr)$rangeType[] <- "gene" ## This replace the previous constraint (HasRangeTypeCol): #constraint(gr) <- "GeneRanges" # OK checkConstraint(gr, new("GeneRanges")) # with GenomicRanges >= 1.7.9 #is(constraint(gr), "GeneRanges") # TRUE ## However, 'gr' still indirectly has the HasRangeTypeCol constraint ## (because the GeneRanges constraint extends the HasRangeTypeCol ## constraint): #is(constraint(gr), "HasRangeTypeCol") # TRUE #\dontrun{ #mcols(gr)$rangeType[] <- "exon" # will fail #} mcols(gr)$rangeType[] <- "exon" checkConstraint(gr, new("GeneRanges")) # with GenomicRanges >= 1.7.9 ## --------------------------------------------------------------------- ## EXAMPLE 3: The HasGCCol constraint. ## --------------------------------------------------------------------- ## The HasGCCol constraint checks that the constrained object has a ## unique "GC" metadata column, that this column is of type numeric, ## with no NAs, and that all the values in that column are >= 0 and <= 1. setClass("HasGCCol", contains="Constraint") setMethod("checkConstraint", c("GenomicRanges", "HasGCCol"), function(x, constraint, verbose=FALSE) { x_mcols <- mcols(x) idx <- match("GC", colnames(x_mcols)) if (length(idx) != 1L || is.na(idx)) { msg <- c("'mcols(x)' must have exactly ", "one column named \"GC\"") return(paste(msg, collapse="")) } GC <- x_mcols[[idx]] if (!is.numeric(GC) || IRanges:::anyMissing(GC) || any(GC < 0) || any(GC > 1)) { msg <- c("'mcols(x)$GC' must be a numeric vector ", "with no NAs and with values between 0 and 1") return(paste(msg, collapse="")) } NULL } ) ## This replace the previous constraint (GeneRanges): #constraint(gr) <- "HasGCCol" # OK checkConstraint(gr, new("HasGCCol")) # with GenomicRanges >= 1.7.9 #is(constraint(gr), "HasGCCol") # TRUE #is(constraint(gr), "GeneRanges") # FALSE #is(constraint(gr), "HasRangeTypeCol") # FALSE ## --------------------------------------------------------------------- ## EXAMPLE 4: The HighGCRanges constraint. ## --------------------------------------------------------------------- ## The HighGCRanges constraint is defined on top of the HasGCCol ## constraint. It checks that all the ranges in the object have a GC ## content >= 0.5. setClass("HighGCRanges", contains="HasGCCol") ## The checkConstraint() generic will check the HasGCCol constraint ## first, and, if it's statisfied, it will then check the HighGCRanges ## constraint. setMethod("checkConstraint", c("GenomicRanges", "HighGCRanges"), function(x, constraint, verbose=FALSE) { GC <- mcols(x)$GC if (!all(GC >= 0.5)) { msg <- c("all elements in 'mcols(x)$GC' ", "must be >= 0.5") return(paste(msg, collapse="")) } NULL } ) #\dontrun{ #constraint(gr) <- "HighGCRanges" # will fail #} checkConstraint(gr, new("HighGCRanges")) # with GenomicRanges >= 1.7.9 mcols(gr)$GC[6:10] <- 0.5 #constraint(gr) <- "HighGCRanges" # OK checkConstraint(gr, new("HighGCRanges")) # with GenomicRanges >= 1.7.9 #is(constraint(gr), "HighGCRanges") # TRUE #is(constraint(gr), "HasGCCol") # TRUE ## --------------------------------------------------------------------- ## EXAMPLE 5: The HighGCGeneRanges constraint. ## --------------------------------------------------------------------- ## The HighGCGeneRanges constraint is the combination (AND) of the ## GeneRanges and HighGCRanges constraints. setClass("HighGCGeneRanges", contains=c("GeneRanges", "HighGCRanges")) ## No need to define a method for this constraint: the checkConstraint() ## generic will automatically check the GeneRanges and HighGCRanges ## constraints. #constraint(gr) <- "HighGCGeneRanges" # OK checkConstraint(gr, new("HighGCGeneRanges")) # with GenomicRanges >= 1.7.9 #is(constraint(gr), "HighGCGeneRanges") # TRUE #is(constraint(gr), "HighGCRanges") # TRUE #is(constraint(gr), "HasGCCol") # TRUE #is(constraint(gr), "GeneRanges") # TRUE #is(constraint(gr), "HasRangeTypeCol") # TRUE ## See how all the individual constraints are checked (from less ## specific to more specific constraints): #checkConstraint(gr, constraint(gr), verbose=TRUE) checkConstraint(gr, new("HighGCGeneRanges"), verbose=TRUE) # with # GenomicRanges # >= 1.7.9 ## See all the "checkConstraint" methods: showMethods("checkConstraint") } \keyword{methods} \keyword{classes} GenomicRanges/man/coverage-methods.Rd0000644000126300012640000001216412232576336021171 0ustar00biocbuildphs_compbio\name{coverage-methods} \alias{coverage-methods} \alias{coverage,GenomicRanges-method} \alias{coverage,GRangesList-method} \alias{coverage,GAlignments-method} \alias{coverage,GAlignmentPairs-method} \title{Coverage of a GRanges, GRangesList, GAlignments, or GAlignmentPairs object} \description{ \code{\link[IRanges]{coverage}} methods for \link{GRanges}, \link{GRangesList}, \link{GAlignments}, and \link{GAlignmentPairs} objects. NOTE: The \code{\link[IRanges]{coverage}} generic function and methods for \link[IRanges]{Ranges} and \link[IRanges]{RangesList} objects are defined and documented in the \pkg{IRanges} package. } \usage{ \S4method{coverage}{GenomicRanges}(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash")) \S4method{coverage}{GRangesList}(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash")) \S4method{coverage}{GAlignments}(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash"), drop.D.ranges=FALSE) \S4method{coverage}{GAlignmentPairs}(x, shift=0L, width=NULL, weight=1L, method=c("auto", "sort", "hash"), drop.D.ranges=FALSE) } \arguments{ \item{x}{ A \link{GRanges}, \link{GRangesList}, \link{GAlignments}, or \link{GAlignmentPairs} object. } \item{shift}{ A numeric vector or a list-like object. If numeric, it must be parallel to \code{x} (recycled if necessary). If a list-like object, it must have 1 list element per seqlevel in \code{x}, and its names must be exactly \code{seqlevels(x)}. Alternatively, \code{shift} can also be specified as a single string naming a metadata column in \code{x} (i.e. a column in \code{mcols(x)}) to be used as the \code{shift} vector. See \code{?\link[IRanges]{coverage}} in the \pkg{IRanges} package for more information about this argument. } \item{width}{ Either \code{NULL} (the default), or an integer vector. If \code{NULL}, it is replaced with \code{seqlengths(x)}. Otherwise, the vector must have the length and names of \code{seqlengths(x)} and contain NAs or non-negative integers. See \code{?\link[IRanges]{coverage}} in the \pkg{IRanges} package for more information about this argument. } \item{weight}{ A numeric vector or a list-like object. If numeric, it must be parallel to \code{x} (recycled if necessary). If a list-like object, it must have 1 list element per seqlevel in \code{x}, and its names must be exactly \code{seqlevels(x)}. Alternatively, \code{weight} can also be specified as a single string naming a metadata column in \code{x} (i.e. a column in \code{mcols(x)}) to be used as the \code{weight} vector. See \code{?\link[IRanges]{coverage}} in the \pkg{IRanges} package for more information about this argument. } \item{method}{ See \code{?\link[IRanges]{coverage}} in the \pkg{IRanges} package for a description of this argument. } \item{drop.D.ranges}{ Whether the coverage calculation should ignore ranges corresponding to D (deletion) in the CIGAR string. } } \details{ When \code{x} is a \link{GRangesList} object, \code{coverage(x, ...)} is equivalent to \code{coverage(unlist(x), ...)}. When \code{x} is a \link{GAlignments} or \link{GAlignmentPairs} object, \code{coverage(x, ...)} is equivalent to \code{coverage(grglist(x), ...)}. } \value{ A named \link[IRanges]{RleList} object with one coverage vector per seqlevel in \code{x}. } \author{H. Pages and P. Aboyoun} \seealso{ \itemize{ \item \code{\link[IRanges]{coverage}}. \item \link[IRanges]{RleList-class}. \item \link{GRanges-class}. \item \link{GRangesList-class}. \item \link{GAlignments-class}. \item \link{GAlignmentPairs-class}. } } \examples{ ## Coverage of a GRanges object: gr <- GRanges( seqnames=Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges=IRanges(1:10, end=10), strand=Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), seqlengths=c(chr1=11, chr2=12, chr3=13)) cvg <- coverage(gr) pcvg <- coverage(gr[strand(gr) == "+"]) mcvg <- coverage(gr[strand(gr) == "-"]) scvg <- coverage(gr[strand(gr) == "*"]) stopifnot(identical(pcvg + mcvg + scvg, cvg)) ## Coverage of a GRangesList object: gr1 <- GRanges(seqnames="chr2", ranges=IRanges(3, 6), strand = "+") gr2 <- GRanges(seqnames=c("chr1", "chr1"), ranges=IRanges(c(7,13), width=3), strand=c("+", "-")) gr3 <- GRanges(seqnames=c("chr1", "chr2"), ranges=IRanges(c(1, 4), c(3, 9)), strand=c("-", "-")) grl <- GRangesList(gr1=gr1, gr2=gr2, gr3=gr3) stopifnot(identical(coverage(grl), coverage(unlist(grl)))) ## Coverage of a GAlignments or GAlignmentPairs object: library(Rsamtools) # because file ex1.bam is in this package ex1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") galn <- readGAlignments(ex1_file) stopifnot(identical(coverage(galn), coverage(as(galn, "GRangesList")))) galp <- readGAlignmentPairs(ex1_file) stopifnot(identical(coverage(galp), coverage(as(galp, "GRangesList")))) } \keyword{methods} \keyword{utilities} GenomicRanges/man/encodeOverlaps-methods.Rd0000644000126300012640000001502212227070335022333 0ustar00biocbuildphs_compbio\name{encodeOverlaps-methods} \alias{encodeOverlaps-methods} \alias{flipQuery} \alias{encodeOverlaps,GRangesList,GRangesList-method} \alias{selectEncodingWithCompatibleStrand} \alias{isCompatibleWithSplicing} \alias{isCompatibleWithSplicing,character-method} \alias{isCompatibleWithSplicing,factor-method} \alias{isCompatibleWithSplicing,OverlapEncodings-method} \alias{isCompatibleWithSkippedExons} \alias{isCompatibleWithSkippedExons,character-method} \alias{isCompatibleWithSkippedExons,factor-method} \alias{isCompatibleWithSkippedExons,OverlapEncodings-method} \alias{extractSteppedExonRanks} \alias{extractSteppedExonRanks,character-method} \alias{extractSteppedExonRanks,factor-method} \alias{extractSteppedExonRanks,OverlapEncodings-method} \alias{extractSpannedExonRanks} \alias{extractSpannedExonRanks,character-method} \alias{extractSpannedExonRanks,factor-method} \alias{extractSpannedExonRanks,OverlapEncodings-method} \alias{extractSkippedExonRanks} \alias{extractSkippedExonRanks,character-method} \alias{extractSkippedExonRanks,factor-method} \alias{extractSkippedExonRanks,OverlapEncodings-method} \alias{extractQueryStartInTranscript} \alias{findCompatibleOverlaps} \alias{findCompatibleOverlaps,GAlignments,GRangesList-method} \alias{findCompatibleOverlaps,GAlignmentPairs,GRangesList-method} \alias{countCompatibleOverlaps} \title{encodeOverlaps method for GRangesList objects, and related utilities} \description{ \code{encodeOverlaps} method for \link{GRangesList}, and related utilities. } \usage{ \S4method{encodeOverlaps}{GRangesList,GRangesList}(query, subject, hits=NULL, flip.query.if.wrong.strand=FALSE) ## Low-level utils: flipQuery(x, i) selectEncodingWithCompatibleStrand(ovencA, ovencB, query.strand, subject.strand, hits=NULL) isCompatibleWithSplicing(x) isCompatibleWithSkippedExons(x, max.skipped.exons=NA) extractSteppedExonRanks(x, for.query.right.end=FALSE) extractSpannedExonRanks(x, for.query.right.end=FALSE) extractSkippedExonRanks(x, for.query.right.end=FALSE) extractQueryStartInTranscript(query, subject, hits=NULL, ovenc=NULL, flip.query.if.wrong.strand=FALSE, for.query.right.end=FALSE) ## High-level convenience wrappers: findCompatibleOverlaps(query, subject) countCompatibleOverlaps(query, subject) } \arguments{ \item{x}{ For \code{flipQuery}: a \link{GRangesList} object. For \code{isCompatibleWithSplicing}, \code{isCompatibleWithSkippedExons}, \code{extractSteppedExonRanks}, \code{extractSpannedExonRanks}, and \code{extractSkippedExonRanks}: an \link[IRanges]{OverlapEncodings} object, a factor or a character vector. } \item{i}{ Subscript specifying the elements in \code{x} to flip. If missing, all the elements are flipped. } \item{ovencA, ovencB, ovenc}{ \link[IRanges]{OverlapEncodings} objects. } \item{query, subject}{ \link{GRangesList} objects except for \code{findCompatibleOverlaps} and \code{countCompatibleOverlaps} where \code{query} must be a \link{GAlignments} or \link{GAlignmentPairs} object. } \item{hits}{ A \link[IRanges]{Hits} object. See \code{?`\link[IRanges]{encodeOverlaps}`} for a description of how a supplied \link[IRanges]{Hits} object is handled. } \item{flip.query.if.wrong.strand}{ See the "Overlap encodings" vignette in the GenomicRanges package. } \item{query.strand, subject.strand}{ Vector-like objects containing the strand of the query and subject, respectively. } \item{max.skipped.exons}{ Not supported yet. If \code{NA} (the default), the number of skipped exons must be 1 or more (there is no max). } \item{for.query.right.end}{ If \code{TRUE}, then the information reported in the output is for the right ends of the paired-end reads. Using \code{for.query.right.end=TRUE} with single-end reads is an error. } } \details{ In the context of an RNA-seq experiment, encoding the overlaps between 2 \link{GRangesList} objects, one containing the reads (the query), and one containing the transcripts (the subject), can be used for detecting hits between reads and transcripts that are \emph{compatible} with the splicing of the transcript. The topic of working with overlap encodings is covered in details in the "Overlap encodings" vignette in the GenomicRanges package. } \author{ H. Pages } \seealso{ \itemize{ \item The "Overlap encodings" vignette in the GenomicRanges package. \item The \code{\link[IRanges]{findOverlaps}} generic function defined in the IRanges package. \item The \link[IRanges]{OverlapEncodings} class defined in the IRanges package. \item The \link{GRangesList}, \link{GAlignments}, and \link{GAlignmentPairs} classes. } } \examples{ ## Here we only show a simple example illustrating the use of ## countCompatibleOverlaps() on a very small data set. Please ## refer to the "Overlap encodings" vignette in the GenomicRanges ## package for a more comprehensive presentation of "overlap ## encodings" and related tools/concepts (e.g. "compatible" ## overlaps, "almost compatible" overlaps etc...), and for more ## examples. ## sm_treated1.bam contains a small subset of treated1.bam, a BAM ## file containing single-end reads from the "Pasilla" experiment ## (RNA-seq, Fly, see the pasilla data package for the details) ## and aligned to reference genome BDGP Release 5 (aka dm3 genome on ## the UCSC Genome Browser): sm_treated1 <- system.file("extdata", "sm_treated1.bam", package="GenomicRanges", mustWork=TRUE) ## Load the alignments: library(Rsamtools) flag0 <- scanBamFlag(isDuplicate=FALSE, isNotPassingQualityControls=FALSE) param0 <- ScanBamParam(flag=flag0) gal <- readGAlignments(sm_treated1, use.names=TRUE, param=param0) ## Load the transcripts (IMPORTANT: Like always, the reference genome ## of the transcripts must be *exactly* the same as the reference ## genome used to align the reads): library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) exbytx <- exonsBy(TxDb.Dmelanogaster.UCSC.dm3.ensGene, by="tx", use.names=TRUE) ## Number of "compatible" transcripts per alignment in 'gal': gal_ncomptx <- countCompatibleOverlaps(gal, exbytx) mcols(gal)$ncomptx <- gal_ncomptx table(gal_ncomptx) mean(gal_ncomptx >= 1) ## --> 33% of the alignments in 'gal' are "compatible" with at least ## 1 transcript in 'exbytx'. ## Keep only alignments compatible with at least 1 transcript in ## 'exbytx': compgal <- gal[gal_ncomptx >= 1] head(compgal) } \keyword{methods} \keyword{utilities} GenomicRanges/man/findOverlaps-methods.Rd0000644000126300012640000004460612227070335022030 0ustar00biocbuildphs_compbio\name{findOverlaps-methods} \alias{findOverlaps-methods} \alias{findOverlaps,GenomicRanges,GenomicRanges-method} \alias{findOverlaps,GenomicRanges,GIntervalTree-method} \alias{findOverlaps,GRangesList,GenomicRanges-method} \alias{findOverlaps,GenomicRanges,GRangesList-method} \alias{findOverlaps,GRangesList,GRangesList-method} \alias{findOverlaps,RangesList,GenomicRanges-method} \alias{findOverlaps,RangesList,GRangesList-method} \alias{findOverlaps,GenomicRanges,RangesList-method} \alias{findOverlaps,GRangesList,RangesList-method} \alias{findOverlaps,RangedData,GenomicRanges-method} \alias{findOverlaps,RangedData,GRangesList-method} \alias{findOverlaps,GenomicRanges,RangedData-method} \alias{findOverlaps,GRangesList,RangedData-method} \alias{findOverlaps,GAlignments,Vector-method} \alias{findOverlaps,Vector,GAlignments-method} \alias{findOverlaps,GAlignments,GAlignments-method} \alias{findOverlaps,GAlignments,GRangesList-method} \alias{findOverlaps,GRangesList,GAlignments-method} \alias{findOverlaps,GAlignmentPairs,Vector-method} \alias{findOverlaps,Vector,GAlignmentPairs-method} \alias{findOverlaps,GAlignmentPairs,GAlignmentPairs-method} \alias{findOverlaps,GAlignmentsList,Vector-method} \alias{findOverlaps,Vector,GAlignmentsList-method} \alias{findOverlaps,GAlignmentsList,GAlignmentsList-method} \alias{countOverlaps,GenomicRanges,Vector-method} \alias{countOverlaps,Vector,GenomicRanges-method} \alias{countOverlaps,GenomicRanges,GenomicRanges-method} \alias{countOverlaps,GRangesList,Vector-method} \alias{countOverlaps,Vector,GRangesList-method} \alias{countOverlaps,GRangesList,GRangesList-method} \alias{countOverlaps,GRanges,GRangesList-method} \alias{countOverlaps,GRangesList,GRanges-method} \alias{countOverlaps,GAlignments,Vector-method} \alias{countOverlaps,Vector,GAlignments-method} \alias{countOverlaps,GAlignments,GAlignments-method} \alias{countOverlaps,GAlignments,GenomicRanges-method} \alias{countOverlaps,GenomicRanges,GAlignments-method} \alias{countOverlaps,GAlignments,GRangesList-method} \alias{countOverlaps,GRangesList,GAlignments-method} \alias{countOverlaps,GAlignmentPairs,Vector-method} \alias{countOverlaps,Vector,GAlignmentPairs-method} \alias{countOverlaps,GAlignmentPairs,GAlignmentPairs-method} \alias{countOverlaps,GAlignmentsList,Vector-method} \alias{countOverlaps,Vector,GAlignmentsList-method} \alias{countOverlaps,GAlignmentsList,GAlignmentsList-method} \alias{overlapsAny,GenomicRanges,GenomicRanges-method} \alias{overlapsAny,GRangesList,GenomicRanges-method} \alias{overlapsAny,GenomicRanges,GRangesList-method} \alias{overlapsAny,GRangesList,GRangesList-method} \alias{overlapsAny,RangesList,GenomicRanges-method} \alias{overlapsAny,RangesList,GRangesList-method} \alias{overlapsAny,GenomicRanges,RangesList-method} \alias{overlapsAny,GRangesList,RangesList-method} \alias{overlapsAny,RangedData,GenomicRanges-method} \alias{overlapsAny,RangedData,GRangesList-method} \alias{overlapsAny,GenomicRanges,RangedData-method} \alias{overlapsAny,GRangesList,RangedData-method} \alias{overlapsAny,GAlignments,Vector-method} \alias{overlapsAny,Vector,GAlignments-method} \alias{countOverlaps,GAlignments,Vector-method} \alias{countOverlaps,Vector,GAlignments-method} \alias{countOverlaps,GAlignments,GAlignments-method} \alias{countOverlaps,GAlignments,GenomicRanges-method} \alias{countOverlaps,GenomicRanges,GAlignments-method} \alias{countOverlaps,GAlignments,GRangesList-method} \alias{countOverlaps,GRangesList,GAlignments-method} \alias{countOverlaps,GAlignmentPairs,Vector-method} \alias{countOverlaps,Vector,GAlignmentPairs-method} \alias{countOverlaps,GAlignmentPairs,GAlignmentPairs-method} \alias{countOverlaps,GAlignmentsList,Vector-method} \alias{countOverlaps,Vector,GAlignmentsList-method} \alias{countOverlaps,GAlignmentsList,GAlignmentsList-method} \alias{overlapsAny,GenomicRanges,GenomicRanges-method} \alias{overlapsAny,GRangesList,GenomicRanges-method} \alias{overlapsAny,GenomicRanges,GRangesList-method} \alias{overlapsAny,GRangesList,GRangesList-method} \alias{overlapsAny,RangesList,GenomicRanges-method} \alias{overlapsAny,RangesList,GRangesList-method} \alias{overlapsAny,GenomicRanges,RangesList-method} \alias{overlapsAny,GRangesList,RangesList-method} \alias{overlapsAny,RangedData,GenomicRanges-method} \alias{overlapsAny,RangedData,GRangesList-method} \alias{overlapsAny,GenomicRanges,RangedData-method} \alias{overlapsAny,GRangesList,RangedData-method} \alias{overlapsAny,GAlignments,Vector-method} \alias{overlapsAny,Vector,GAlignments-method} \alias{overlapsAny,GAlignments,GAlignments-method} \alias{overlapsAny,GAlignmentPairs,Vector-method} \alias{overlapsAny,Vector,GAlignmentPairs-method} \alias{overlapsAny,GAlignmentsList,Vector-method} \alias{overlapsAny,Vector,GAlignmentsList-method} \alias{overlapsAny,GAlignmentsList,GAlignmentsList-method} \alias{subsetByOverlaps,GenomicRanges,GenomicRanges-method} \alias{subsetByOverlaps,GRangesList,GenomicRanges-method} \alias{subsetByOverlaps,GenomicRanges,GRangesList-method} \alias{subsetByOverlaps,GRangesList,GRangesList-method} \alias{subsetByOverlaps,RangesList,GenomicRanges-method} \alias{subsetByOverlaps,RangesList,GRangesList-method} \alias{subsetByOverlaps,GenomicRanges,RangesList-method} \alias{subsetByOverlaps,GRangesList,RangesList-method} \alias{subsetByOverlaps,RangedData,GenomicRanges-method} \alias{subsetByOverlaps,RangedData,GRangesList-method} \alias{subsetByOverlaps,GenomicRanges,RangedData-method} \alias{subsetByOverlaps,GRangesList,RangedData-method} \alias{subsetByOverlaps,GAlignments,Vector-method} \alias{subsetByOverlaps,Vector,GAlignments-method} \alias{subsetByOverlaps,GAlignments,GAlignments-method} \alias{subsetByOverlaps,GAlignmentPairs,Vector-method} \alias{subsetByOverlaps,Vector,GAlignmentPairs-method} \alias{subsetByOverlaps,GAlignmentsList,Vector-method} \alias{subsetByOverlaps,Vector,GAlignmentsList-method} \alias{subsetByOverlaps,GAlignmentsList,GAlignmentsList-method} \alias{match,GRangesList,GenomicRanges-method} \alias{match,GenomicRanges,GRangesList-method} \alias{match,GRangesList,GRangesList-method} \alias{match,RangesList,GenomicRanges-method} \alias{match,RangesList,GRangesList-method} \alias{match,GenomicRanges,RangesList-method} \alias{match,GRangesList,RangesList-method} \alias{match,RangedData,GenomicRanges-method} \alias{match,RangedData,GRangesList-method} \alias{match,GenomicRanges,RangedData-method} \alias{match,GRangesList,RangedData-method} \alias{match,GAlignments,Vector-method} \alias{match,Vector,GAlignments-method} \alias{match,GAlignments,GAlignments-method} \alias{match,GAlignmentPairs,Vector-method} \alias{match,Vector,GAlignmentPairs-method} \alias{match,GAlignmentsList,Vector-method} \alias{match,Vector,GAlignmentsList-method} \alias{match,GAlignmentsList,GAlignmentsList-method} \alias{\%in\%,GRangesList,GenomicRanges-method} \alias{\%in\%,GenomicRanges,GRangesList-method} \alias{\%in\%,GRangesList,GRangesList-method} \alias{\%in\%,RangesList,GenomicRanges-method} \alias{\%in\%,RangesList,GRangesList-method} \alias{\%in\%,GenomicRanges,RangesList-method} \alias{\%in\%,GRangesList,RangesList-method} \alias{\%in\%,RangedData,GenomicRanges-method} \alias{\%in\%,RangedData,GRangesList-method} \alias{\%in\%,GenomicRanges,RangedData-method} \alias{\%in\%,GRangesList,RangedData-method} \alias{\%in\%,GAlignments,Vector-method} \alias{\%in\%,Vector,GAlignments-method} \alias{\%in\%,GAlignments,GAlignments-method} \alias{\%in\%,GAlignmentPairs,Vector-method} \alias{\%in\%,Vector,GAlignmentPairs-method} \alias{\%in\%,GAlignmentsList,Vector-method} \alias{\%in\%,Vector,GAlignmentsList-method} \alias{\%in\%,GAlignmentsList,GAlignmentsList-method} \alias{findMatches,GRangesList,GenomicRanges-method} \alias{findMatches,GenomicRanges,GRangesList-method} \alias{findMatches,GRangesList,GRangesList-method} \alias{findMatches,RangesList,GenomicRanges-method} \alias{findMatches,RangesList,GRangesList-method} \alias{findMatches,GenomicRanges,RangesList-method} \alias{findMatches,GRangesList,RangesList-method} \alias{findMatches,RangedData,GenomicRanges-method} \alias{findMatches,RangedData,GRangesList-method} \alias{findMatches,GenomicRanges,RangedData-method} \alias{findMatches,GRangesList,RangedData-method} \alias{findMatches,GAlignments,Vector-method} \alias{findMatches,Vector,GAlignments-method} \alias{findMatches,GAlignments,GAlignments-method} \alias{findMatches,GAlignmentPairs,Vector-method} \alias{findMatches,Vector,GAlignmentPairs-method} \alias{findMatches,GAlignmentsList,Vector-method} \alias{findMatches,Vector,GAlignmentsList-method} \alias{findMatches,GAlignmentsList,GAlignmentsList-method} \alias{countMatches,GRangesList,GenomicRanges-method} \alias{countMatches,GenomicRanges,GRangesList-method} \alias{countMatches,GRangesList,GRangesList-method} \alias{countMatches,RangesList,GenomicRanges-method} \alias{countMatches,RangesList,GRangesList-method} \alias{countMatches,GenomicRanges,RangesList-method} \alias{countMatches,GRangesList,RangesList-method} \alias{countMatches,RangedData,GenomicRanges-method} \alias{countMatches,RangedData,GRangesList-method} \alias{countMatches,GenomicRanges,RangedData-method} \alias{countMatches,GRangesList,RangedData-method} \alias{countMatches,GAlignments,Vector-method} \alias{countMatches,Vector,GAlignments-method} \alias{countMatches,GAlignments,GAlignments-method} \alias{countMatches,GAlignmentPairs,Vector-method} \alias{countMatches,Vector,GAlignmentPairs-method} \alias{countMatches,GAlignmentsList,Vector-method} \alias{countMatches,Vector,GAlignmentsList-method} \alias{countMatches,GAlignmentsList,GAlignmentsList-method} \title{Finding overlapping genomic ranges} \description{ Finds interval overlaps between a \link{GRanges}, \link{GIntervalTree}, \link{GRangesList}, \link{GAlignments}, \link{GAlignmentPairs}, or \link{GAlignmentsList} object, and another object containing ranges. } \usage{ \S4method{findOverlaps}{GenomicRanges,GenomicRanges}(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), select = c("all", "first", "last", "arbitrary"), ignore.strand = FALSE) \S4method{countOverlaps}{GenomicRanges,GenomicRanges}(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) \S4method{overlapsAny}{GenomicRanges,GenomicRanges}(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) \S4method{subsetByOverlaps}{GenomicRanges,GenomicRanges}(query, subject, maxgap = 0L, minoverlap = 1L, type = c("any", "start", "end", "within", "equal"), ignore.strand = FALSE) } \arguments{ \item{query, subject}{ A \link{GRanges}, \link{GRangesList}, \link{GAlignments}, \link{GAlignmentPairs}, or \link{GAlignmentsList} object. \link[IRanges]{RangesList} and \link[IRanges]{RangedData} are also accepted for one of \code{query} or \code{subject}. When \code{query} is a \link{GRanges} or \link{GRangesList} then \code{subject} can be a \link{GIntervalTree} object. } \item{maxgap, minoverlap, type, select}{ See \code{\link[IRanges]{findOverlaps}} in the IRanges package for a description of these arguments. } \item{ignore.strand}{ When set to \code{TRUE}, the strand information is ignored in the overlap calculations. } } \details{ When the query and the subject are \link{GRanges} or \link{GRangesList} objects, \code{findOverlaps} uses the triplet (sequence name, range, strand) to determine which features (see paragraph below for the definition of feature) from the \code{query} overlap which features in the \code{subject}, where a strand value of \code{"*"} is treated as occurring on both the \code{"+"} and \code{"-"} strand. An overlap is recorded when a feature in the \code{query} and a feature in the \code{subject} have the same sequence name, have a compatible pairing of strands (e.g. \code{"+"}/\code{"+"}, \code{"-"}/\code{"-"}, \code{"*"}/\code{"+"}, \code{"*"}/\code{"-"}, etc.), and satisfy the interval overlap requirements. Strand is taken as \code{"*"} for \code{RangedData} and \code{RangesList}. In the context of \code{findOverlaps}, a feature is a collection of ranges that are treated as a single entity. For \link{GRanges} objects, a feature is a single range; while for \link{GRangesList} objects, a feature is a list element containing a set of ranges. In the results, the features are referred to by number, which run from 1 to \code{length(query)}/\code{length(subject)}. When the query or the subject (or both) is a \link{GAlignments} object, it is first turned into a \link{GRangesList} object (with \code{as( , "GRangesList")}) and then the rules described previously apply. \link{GAlignmentsList} objects are coerced to \link{GAlignments} then to a \link{GRangesList}. Feature indices are mapped back to the original \link{GAlignmentsList} list elements. When the query is a \link{GAlignmentPairs} object, it is first turned into a \link{GRangesList} object (with \code{as( , "GRangesList")}) and then the rules described previously apply. When the query is a \link{GRanges} or \link{GRangesList} object then the \link{subject} can be a \link{GIntervalTree} object. For repeated queries against the same subject, it is more efficient to create a \code{GIntervalTree} once for the subject using the \link{GIntervalTree} constructor described below and then perform the queries against the \code{GIntervalTree} instance. Note that \link{GIntervalTree} objects are not supported for circular genomes. } \value{ For \code{findOverlaps} either a \link[IRanges]{Hits} object when \code{select = "all"} or an integer vector otherwise. For \code{countOverlaps} an integer vector containing the tabulated query overlap hits. For \code{overlapsAny} a logical vector of length equal to the number of ranges in \code{query} indicating those that overlap any of the ranges in \code{subject}. For \code{subsetByOverlaps} an object of the same class as \code{query} containing the subset that overlapped at least one entity in \code{subject}. For \code{RangedData} and \code{RangesList}, with the exception of \code{subsetByOverlaps}, the results align to the unlisted form of the object. This turns out to be fairly convenient for \code{RangedData} (not so much for \code{RangesList}, but something has to give). } \author{P. Aboyoun, S. Falcon, M. Lawrence, N. Gopalakrishnan H. Pages and H. Corrada Bravo} \seealso{ \itemize{ \item \code{\link[IRanges]{findOverlaps}}. \item \link[IRanges]{Hits-class}. \item \link{GRanges-class}. \item \link{GRangesList-class}. \item \link{GIntervalTree-class}. \item \link{GAlignments-class}. \item \link{GAlignmentPairs-class}. \item \link{GAlignmentsList-class}. } } \examples{ ## --------------------------------------------------------------------- ## WITH GRanges AND/OR GRangesList OBJECTS ## --------------------------------------------------------------------- ## GRanges object: gr <- GRanges(seqnames = Rle(c("chr1", "chr2", "chr1", "chr3"), c(1, 3, 2, 4)), ranges = IRanges(1:10, width = 10:1, names = head(letters,10)), strand = Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score = 1:10, GC = seq(1, 0, length=10)) gr ## GRangesList object: gr1 <- GRanges(seqnames = "chr2", ranges = IRanges(4:3, 6), strand = "+", score = 5:4, GC = 0.45) gr2 <- GRanges(seqnames = c("chr1", "chr1"), ranges = IRanges(c(7,13), width = 3), strand = c("+", "-"), score = 3:4, GC = c(0.3, 0.5)) gr3 <- GRanges(seqnames = c("chr1", "chr2"), ranges = IRanges(c(1, 4), c(3, 9)), strand = c("-", "-"), score = c(6L, 2L), GC = c(0.4, 0.1)) grl <- GRangesList("gr1" = gr1, "gr2" = gr2, "gr3" = gr3) ## Overlapping two GRanges objects: table(!is.na(findOverlaps(gr, gr1, select="arbitrary"))) countOverlaps(gr, gr1) findOverlaps(gr, gr1) subsetByOverlaps(gr, gr1) countOverlaps(gr, gr1, type = "start") findOverlaps(gr, gr1, type = "start") subsetByOverlaps(gr, gr1, type = "start") findOverlaps(gr, gr1, select = "first") findOverlaps(gr, gr1, select = "last") findOverlaps(gr1, gr) findOverlaps(gr1, gr, type = "start") findOverlaps(gr1, gr, type = "within") findOverlaps(gr1, gr, type = "equal") ## using a GIntervalTree gtree <- GIntervalTree(gr1) table(!is.na(findOverlaps(gr, gtree, select="arbitrary"))) countOverlaps(gr, gtree) findOverlaps(gr, gtree) subsetByOverlaps(gr, gtree) ## Overlapping a GRanges and a GRangesList object: table(!is.na(findOverlaps(grl, gr, select="first"))) countOverlaps(grl, gr) findOverlaps(grl, gr) subsetByOverlaps(grl, gr) countOverlaps(grl, gr, type = "start") findOverlaps(grl, gr, type = "start") subsetByOverlaps(grl, gr, type = "start") findOverlaps(grl, gr, select = "first") ## using a GIntervalTree table(!is.na(findOverlaps(grl, gtree, select="first"))) countOverlaps(grl, gtree) findOverlaps(grl, gtree) subsetByOverlaps(grl, gtree) countOverlaps(grl, gtree, type = "start") findOverlaps(grl, gtree, type = "start") subsetByOverlaps(grl, gtree, type = "start") findOverlaps(grl, gtree, select = "first") ## Overlapping two GRangesList objects: countOverlaps(grl, rev(grl)) findOverlaps(grl, rev(grl)) subsetByOverlaps(grl, rev(grl)) ## --------------------------------------------------------------------- ## WITH GAlignments AND/OR GAlignmentsList OBJECTS ## --------------------------------------------------------------------- library(Rsamtools) # because file ex1.bam is in this package ex1_file <- system.file("extdata", "ex1.bam", package="Rsamtools") galn <- readGAlignments(ex1_file) subject <- granges(galn)[1] ## Note the absence of query no. 9 (i.e. 'galn[9]') in this result: as.matrix(findOverlaps(galn, subject)) ## This is because, by default, findOverlaps()/countOverlaps() are ## strand specific: galn[8:10] countOverlaps(galn[8:10], subject) countOverlaps(galn[8:10], subject, ignore.strand=TRUE) ## Count alignments in 'galn' that DO overlap with 'subject' vs those ## that do NOT: table(overlapsAny(galn, subject)) ## Extract those that DO: subsetByOverlaps(galn, subject) ## GAlignmentsList galist <- GAlignmentsList(galn[8:10], galn[3000:3002]) gr <- GRanges(c("seq1", "seq1", "seq2"), IRanges(c(15, 18, 1233), width=1), strand=c("-", "+", "+")) countOverlaps(galist, gr) countOverlaps(galist, gr, ignore.strand=TRUE) findOverlaps(galist, gr) findOverlaps(galist, gr, ignore.strand=TRUE) } \keyword{methods} \keyword{utilities} GenomicRanges/man/findSpliceOverlaps-methods.Rd0000644000126300012640000001463212227070335023164 0ustar00biocbuildphs_compbio\name{findSpliceOverlaps} \alias{findSpliceOverlaps} \alias{findSpliceOverlaps-methods} \alias{findSpliceOverlaps,GAlignments,GRangesList-method} \alias{findSpliceOverlaps,GAlignmentPairs,GRangesList-method} \alias{findSpliceOverlaps,GRangesList,GRangesList-method} \title{Classify ranges (reads) as compatible with existing genomic annotations or as having novel splice events} \description{ The \code{findSpliceOverlaps} function identifies ranges (reads) that are compatible with a specific transcript isoform. The non-compatible ranges are analyzed for the presence of novel splice events. } \usage{ findSpliceOverlaps(query, subject, ignore.strand=FALSE, ...) \S4method{findSpliceOverlaps}{GAlignments,GRangesList}(query, subject, ignore.strand=FALSE, ..., cds=NULL) \S4method{findSpliceOverlaps}{GAlignmentPairs,GRangesList}(query, subject, ignore.strand=FALSE, ..., cds=NULL) \S4method{findSpliceOverlaps}{GRangesList,GRangesList}(query, subject, ignore.strand=FALSE, ..., cds=NULL) ## Low-level utils: ## High-level convenience wrappers (coming soon): #summarizeSpliceOverlaps(query, subject, ignore.strand=FALSE, ...) } \section{Additional methods}{ ## Methods in Rsamtools : \describe{ \item{}{ findSpliceOverlaps,character,ANY(query, subject, ignore.strand=FALSE, ..., param=ScanBamParam(), singleEnd=TRUE, cds=NULL) } \item{}{ findSpliceOverlaps,BamFile,ANY(query, subject, ignore.strand=FALSE, ..., param=ScanBamParam(), singleEnd=TRUE, cds=NULL) } } } \arguments{ \item{query}{ \code{character} name of a Bam file, a \link[Rsamtools]{BamFile}, \linkS4class{GAlignments}, \linkS4class{GAlignmentPairs} or a \linkS4class{GRangesList} object containing the reads. Single or paired-end reads are specified with the \code{singleEnd} argument (default FALSE). Paired-end reads can be supplied in a Bam file or \linkS4class{GAlignmentPairs} object. Single-end are expected to be in a Bam file, \linkS4class{GAlignments} or \linkS4class{GRanges} object. } \item{subject}{ A \link{GRangesList} containing the annotations. This list is expected to be exons by transcripts. } \item{ignore.strand}{ When set to \code{TRUE}, strand information is ignored in the overlap calculations. } \item{cds}{ Optional \link{GRangesList} of coding regions for each transcript in the \code{subject}. If provided, the "coding" output column will be a \code{logical} vector indicating if the read falls in a coding region. When not provided, the "coding" output is \code{NA}. } \item{...}{ Additional arguments such as \code{singleEnd} used in the BamFile method. \describe{ \item{singleEnd}{ A logical value indicating if reads are single or paired-end. } } } } \details{ When a read maps compatibly and uniquely to a transcript isoform we can quantify the expression and look for shifts in the balance of isoform expression. If a read does not map in compatible way, novel splice events such as splice junctions, novel exons or retentions can be quantified and compared across samples. \code{findSpliceOverlaps} detects which reads (query) match to transcripts (subject) in a compatible fashion. Compatibility is based on both the transcript bounds and splicing pattern. Assessing the splicing pattern involves comparision of the read splices (i.e., the "N" gaps in the cigar) with the transcript introns. For paired-end reads, the inter-read gap is not considered a splice. The analysis of non-compatible reads for novel splice events is under construction. The output is a \link[IRanges]{Hits} object with the metadata columns defined below. Each column is a \code{logical} indicating if the read (query) met the criteria. \itemize{ \item{compatible: }{Every splice (N) in a read alignment matches an intron in an annotated transcript. The read does not extend into an intron or outside the transcript bounds. } \item{unique: }{The read is compatible with only one annotated transcript. } \item{strandSpecific: }{The query (read) was stranded. } } } \author{ Michael Lawrence and Valerie Obenchain } \seealso{ \itemize{ \item The \link{GRangesList}, \link{GAlignments}, and \link{GAlignmentPairs} classes. } } \examples{ ## ----------------------------------------------------------------------- ## Isoform expression : ## ----------------------------------------------------------------------- ## findSpliceOverlaps() can assist in quantifying isoform expression ## by identifying reads that map compatibly and uniquely to a ## transcript isoform. library(Rsamtools) library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) library(pasillaBamSubset) se <- untreated1_chr4() ## single-end reads txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene exbytx <- exonsBy(txdb, "tx") cdsbytx <- cdsBy(txdb, "tx") param <- ScanBamParam(which=GRanges("chr4", IRanges(1e5,3e5))) sehits <- findSpliceOverlaps(se, exbytx, cds=cdsbytx, param=param) ## Tally the reads by category to get an idea of read distribution. lst <- lapply(mcols(sehits), table) nms <- names(lst) %in% c("compatible", "unique") tbl <- do.call(rbind, lst[nms]) tbl ## Reads compatible with one or more transcript isoforms. rnms <- rownames(tbl) tbl[rnms == "compatible","TRUE"]/sum(tbl[rnms == "compatible",]) ## Reads compatible with a single isoform. tbl[rnms == "unique","TRUE"]/sum(tbl[rnms == "unique",]) ## All reads fall in a coding region as defined by ## the txdb annotation. lst[["coding"]] ## Check : Total number of reads should be the same across categories. lapply(lst, sum) ## ----------------------------------------------------------------------- ## Paired-end reads : ## ----------------------------------------------------------------------- ## 'singleEnd' is set to FALSE for a Bam file with paired-end reads. pe <- untreated3_chr4() hits2 <- findSpliceOverlaps(pe, exbytx, singleEnd=FALSE, param=param) ## In addition to Bam files, paired-end reads can be supplied in a ## GAlignmentPairs object. genes <- GRangesList( GRanges("chr1", IRanges(c(5, 20), c(10, 25)), "+"), GRanges("chr1", IRanges(c(5, 22), c(15, 25)), "+")) galp <- GAlignmentPairs( GAlignments("chr1", 5L, "11M4N6M", strand("+")), GAlignments("chr1", 50L, "6M", strand("-")), isProperPair=TRUE) findSpliceOverlaps(galp, genes) } \keyword{methods} \keyword{utilities} GenomicRanges/man/inter-range-methods.Rd0000644000126300012640000001523012227070335021576 0ustar00biocbuildphs_compbio\name{inter-range-methods} \alias{inter-range-methods} \alias{reduce,GenomicRanges-method} \alias{range,GenomicRanges-method} \alias{gaps,GenomicRanges-method} \alias{disjoin,GenomicRanges-method} \alias{isDisjoint,GenomicRanges-method} \alias{disjointBins,GenomicRanges-method} \title{Inter range transformations of a GenomicRanges object} \description{ See \code{?`\link[IRanges]{intra-range-methods}`} and \code{?`\link[IRanges]{inter-range-methods}`} in the IRanges package for a quick introduction to intra range and inter range transformations. This man page documents inter range transformations of a \link{GenomicRanges} object (i.e. of an object that belongs to the \link{GenomicRanges} class or one of its subclasses, this includes for example \link{GRanges} objects). See \code{?`\link[GenomicRanges]{intra-range-methods}`} for intra range transformations of a GenomicRanges object. } \usage{ \S4method{range}{GenomicRanges}(x, ..., ignore.strand=FALSE, na.rm=FALSE) \S4method{reduce}{GenomicRanges}(x, drop.empty.ranges=FALSE, min.gapwidth=1L, with.mapping=FALSE, with.inframe.attrib=FALSE, ignore.strand=FALSE) \S4method{gaps}{GenomicRanges}(x, start=1L, end=seqlengths(x)) \S4method{disjoin}{GenomicRanges}(x, ignore.strand=FALSE) \S4method{isDisjoint}{GenomicRanges}(x, ignore.strand=FALSE) \S4method{disjointBins}{GenomicRanges}(x, ignore.strand=FALSE) } \arguments{ \item{x}{A \link{GenomicRanges} object.} \item{drop.empty.ranges, min.gapwidth, with.mapping, with.inframe.attrib, start, end}{ See \code{?`\link[IRanges]{inter-range-methods}`} in the IRanges package. } \item{ignore.strand}{ \code{TRUE} or \code{FALSE}. Whether the strand of the input ranges should be ignored or not. See details below. } \item{...}{ For \code{range}, additional \code{GenomicRanges} objects to consider. Ignored otherwise. } \item{na.rm}{Ignored.} } \details{ \code{range} returns an object of the same type as \code{x} containing range bounds for each distinct (seqname, strand) pairing. The names (\code{names(x)}) and the metadata columns in \code{x} are dropped. \code{reduce} returns an object of the same type as \code{x} containing reduced ranges for each distinct (seqname, strand) pairing. The names (\code{names(x)}) and the metadata columns in \code{x} are dropped. See \code{?\link[IRanges]{reduce}} for more information about range reduction and for a description of the optional arguments. \code{gaps} returns an object of the same type as \code{x} containing complemented ranges for each distinct (seqname, strand) pairing. The names (\code{names(x)}) and the columns in \code{x} are dropped. For the start and end arguments of this gaps method, it is expected that the user will supply a named integer vector (where the names correspond to the appropriate seqlevels). See \code{?\link[IRanges]{gaps}} for more information about range complements and for a description of the optional arguments. \code{disjoin} returns an object of the same type as \code{x} containing disjoint ranges for each distinct (seqname, strand) pairing. The names (\code{names(x)}) and the metadata columns in \code{x} are dropped. \code{isDisjoint} returns a logical value indicating whether the ranges in \code{x} are disjoint (i.e. non-overlapping). \code{disjointBins} returns bin indexes for the ranges in \code{x}, such that ranges in the same bin do not overlap. If \code{ignore.strand=FALSE}, the two features cannot overlap if they are on different strands. } \author{H. Pages and P. Aboyoun} \seealso{ \itemize{ \item The \link{GenomicRanges} and \link{GRanges} classes. \item The \link[IRanges]{Ranges} class in the IRanges package. \item The \link[IRanges]{inter-range-methods} man page in the IRanges package. \item \link{GenomicRanges-comparison} for comparing and ordering genomic ranges. } } \examples{ gr <- GRanges( seqnames=Rle(paste("chr", c(1, 2, 1, 3), sep=""), c(1, 3, 2, 4)), ranges=IRanges(1:10, width=10:1, names=letters[1:10]), strand=Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score=1:10, GC=seq(1, 0, length=10) ) gr ## --------------------------------------------------------------------- ## range() ## --------------------------------------------------------------------- range(gr) # --------------------------------------------------------------------- ## reduce() ## --------------------------------------------------------------------- reduce(gr) gr2 <- reduce(gr, with.mapping=TRUE) mapping <- mcols(gr2)$mapping # an IntegerList ## Use the mapping from reduced to original ranges to group the original ## ranges by reduced range: relist(gr[unlist(mapping)], mapping) ## Or use it to split the DataFrame of original metadata columns by ## reduced range: relist(mcols(gr)[unlist(mapping), ], mapping) # a SplitDataFrameList ## [For advanced users] Use the mapping to compare the reduced ranges ## with the ranges they originate from: expanded_gr2 <- rep(gr2, elementLengths(mapping)) reordered_gr <- gr[unlist(mapping)] codes <- compare(expanded_gr2, reordered_gr) ## All the codes should translate to "d", "e", "g", or "h" (the 4 letters ## indicating that the range on the left contains the range on the right): alphacodes <- rangeComparisonCodeToLetter(compare(expanded_gr2, reordered_gr)) stopifnot(all(alphacodes \%in\% c("d", "e", "g", "h"))) ## On a big GRanges object with a lot of seqlevels: mcols(gr) <- NULL biggr <- c(gr, GRanges("chr1", IRanges(c(4, 1), c(5, 2)), strand="+")) seqlevels(biggr) <- paste0("chr", 1:2000) biggr <- rep(biggr, 25000) set.seed(33) seqnames(biggr) <- sample(factor(seqlevels(biggr), levels=seqlevels(biggr)), length(biggr), replace=TRUE) biggr2 <- reduce(biggr, with.mapping=TRUE) mapping <- mcols(biggr2)$mapping expanded_biggr2 <- rep(biggr2, elementLengths(mapping)) reordered_biggr <- biggr[unlist(mapping)] codes <- compare(expanded_biggr2, reordered_biggr) alphacodes <- rangeComparisonCodeToLetter(compare(expanded_biggr2, reordered_biggr)) stopifnot(all(alphacodes \%in\% c("d", "e", "g", "h"))) table(alphacodes) ## --------------------------------------------------------------------- ## gaps() ## --------------------------------------------------------------------- gaps(gr, start = 1, end = 10) ## --------------------------------------------------------------------- ## disjoin(), isDisjoint(), disjointBins() ## --------------------------------------------------------------------- disjoin(gr) isDisjoint(gr) stopifnot(isDisjoint(disjoin(gr))) disjointBins(gr) stopifnot(all(sapply(split(gr, disjointBins(gr)), isDisjoint))) } \keyword{utilities} GenomicRanges/man/intra-range-methods.Rd0000644000126300012640000001614312227070335021576 0ustar00biocbuildphs_compbio\name{intra-range-methods} \alias{intra-range-methods} \alias{shift,GenomicRanges-method} \alias{narrow,GenomicRanges-method} \alias{narrow,GAlignments-method} \alias{narrow,GAlignmentsList-method} \alias{flank,GenomicRanges-method} \alias{promoters,GenomicRanges-method} \alias{resize,GenomicRanges-method} \alias{Ops,GenomicRanges,numeric-method} \alias{restrict,GenomicRanges-method} \alias{trim,GenomicRanges-method} \title{Intra range transformations of a GenomicRanges object} \description{ See \code{?`\link[IRanges]{intra-range-methods}`} and \code{?`\link[IRanges]{inter-range-methods}`} in the IRanges package for a quick introduction to intra range and inter range transformations. This man page documents intra range transformations of a \link{GenomicRanges} object (i.e. of an object that belongs to the \link{GenomicRanges} class or one of its subclasses, this includes for example \link{GRanges} objects). See \code{?`\link[GenomicRanges]{inter-range-methods}`} for inter range transformations of a GenomicRanges object. } \usage{ \S4method{shift}{GenomicRanges}(x, shift=0L, use.names=TRUE) \S4method{narrow}{GenomicRanges}(x, start=NA, end=NA, width=NA, use.names=TRUE) \S4method{narrow}{GAlignments}(x, start=NA, end=NA, width=NA, use.names=TRUE) \S4method{narrow}{GAlignmentsList}(x, start=NA, end=NA, width=NA, use.names=TRUE) \S4method{flank}{GenomicRanges}(x, width, start=TRUE, both=FALSE, use.names=TRUE, ignore.strand=FALSE) \S4method{promoters}{GenomicRanges}(x, upstream=2000, downstream=200, ...) \S4method{resize}{GenomicRanges}(x, width, fix="start", use.names=TRUE, ignore.strand=FALSE) \S4method{restrict}{GenomicRanges}(x, start=NA, end=NA, keep.all.ranges=FALSE, use.names=TRUE) \S4method{trim}{GenomicRanges}(x, use.names=TRUE) } \arguments{ \item{x}{A \link{GenomicRanges} object.} \item{shift, use.names, start, end, width, both, fix, keep.all.ranges, upstream, downstream}{ See \code{?`\link[IRanges]{intra-range-methods}`}. } \item{ignore.strand}{ \code{TRUE} or \code{FALSE}. Whether the strand of the input ranges should be ignored or not. See details below. } \item{\dots}{ Additional arguments to methods. } } \details{ \itemize{ \item{}{\code{shift} behaves like the \code{shift} method for \link[IRanges]{Ranges} objects. See \code{?`\link[IRanges]{intra-range-methods}`} for the details. } \item(){\code{narrow} on GenomicRanges objects behaves like the \code{narrow} method for \link[IRanges]{Ranges} objects. See \code{?`\link[IRanges]{intra-range-methods}`} for the details. When \code{x} is a \link{GAlignments} object, \code{narrow(x)} returns a new \link{GAlignments} object of the length of \code{x} describing the narrowed alignments. Unlike with \code{qnarrow} now the \code{start}/\code{end}/\code{width} arguments describe the narrowing on the reference side, not the query side. Like with \code{qnarrow}, they must be vectors of integers. NAs and negative values are accepted and "solved" according to the rules of the SEW (Start/End/Width) interface (see \code{?\link[IRanges]{solveUserSEW}} for the details). } \item{}{\code{flank} returns an object of the same type and length as \code{x} containing intervals of width \code{width} that flank the intervals in \code{x}. The \code{start} argument takes a logical indicating whether \code{x} should be flanked at the "start" (\code{TRUE}) or the "end" (\code{FALSE}), which for \code{strand(x) != "-"} is \code{start(x)} and \code{end(x)} respectively and for \code{strand(x) == "-"} is \code{end(x)} and \code{start(x)} respectively. The \code{both} argument takes a single logical value indicating whether the flanking region \code{width} positions extends \emph{into} the range. If \code{both=TRUE}, the resulting range thus straddles the end point, with \code{width} positions on either side. } \item{}{ \code{promoters} returns an object of the same type and length as \code{x} containing promoter ranges. Promoter ranges extend around the transcription start site (TSS) which is defined as \code{start(x)}. The \code{upsteam} and \code{downstream} arguments define the number of nucleotides in the 5' and 3' direction, respectively. The full range is defined as, (start(x) - upstream) to (start(x) + downstream - 1). Ranges on the \code{*} strand are treated the same as those on the \code{+} strand. When no seqlengths are present in \code{x}, it is possible to have non-positive start values in the promoter ranges. This occurs when (TSS - \code{upstream}) < 1. In the equal but opposite case, the \code{end} values of the ranges may extend beyond the chromosome end when (TSS + \code{downstream} + 1) > 'chromosome end'. When \code{seqlengths} are not \code{NA} the promoter ranges are kept within the bounds of the defined \code{seqlengths}. } \item{}{\code{resize} returns an object of the same type and length as \code{x} containing intervals that have been resized to width \code{width} based on the \code{strand(x)} values. Elements where \code{strand(x) == "+"} or \code{strand(x) == "*"} are anchored at \code{start(x)} and elements where \code{strand(x) == "-"} are anchored at the \code{end(x)}. The \code{use.names} argument determines whether or not to keep the names on the ranges. } \item{}{\code{restrict} returns an object of the same type and length as \code{x} containing restricted ranges for distinct seqnames. The \code{start} and \code{end} arguments can be a named numeric vector of seqnames for the ranges to be resticted or a numeric vector or length 1 if the restriction operation is to be applied to all the sequences in \code{x}. See \code{?`\link[IRanges]{intra-range-methods}`} for more information about range restriction and for a description of the optional arguments. } \item{}{\code{trim} subsets the ranges in \code{x} to fall within the valid seqlengths. If no seqlenths are present, negative start values are set to 1L and end values are not touched. } } } \author{P. Aboyoun and V. Obenchain } \seealso{ \itemize{ \item The \link{GenomicRanges} and \link{GRanges} classes. \item The \link[IRanges]{Ranges} class in the IRanges package. \item The \link[IRanges]{intra-range-methods} man page in the IRanges package. } } \examples{ gr <- GRanges( seqnames=Rle(paste("chr", c(1, 2, 1, 3), sep=""), c(1, 3, 2, 4)), ranges=IRanges(1:10, width=10:1, names=letters[1:10]), strand=Rle(strand(c("-", "+", "*", "+", "-")), c(1, 2, 2, 3, 2)), score=1:10, GC=seq(1, 0, length=10) ) gr shift(gr, 1) narrow(gr[-10], start=2, end=-2) flank(gr, 10) resize(gr, 10) restrict(gr, start=3, end=7) gr <- GRanges("chr1", IRanges(rep(10, 3), width=6), c("+", "-", "*")) promoters(gr, 2, 2) } \keyword{utilities} GenomicRanges/man/makeGRangesFromDataFrame.Rd0000644000126300012640000001356112227070335022504 0ustar00biocbuildphs_compbio\name{makeGRangesFromDataFrame} \alias{makeGRangesFromDataFrame} \alias{coerce,data.frame,GRanges-method} \alias{coerce,DataFrame,GRanges-method} \title{Make a GRanges object from a data.frame or DataFrame} \description{ \code{makeGRangesFromDataFrame} finds the fields in the input that describe genomic ranges and returns them as a \link{GRanges} object. For convenience, coercing a data.frame or \link[IRanges]{DataFrame} \code{df} into a \link{GRanges} object is supported and does \code{makeGRangesFromDataFrame(df, keep.extra.columns=TRUE)} } \usage{ makeGRangesFromDataFrame(df, keep.extra.columns=FALSE, ignore.strand=FALSE, seqinfo=NULL, seqnames.field=c("seqnames", "chr", "chrom"), start.field=c("start", "chromStart"), end.field=c("end", "chromEnd", "stop", "chromStop"), strand.field="strand", starts.in.df.are.0based=FALSE) } \arguments{ \item{df}{ A data.frame or \link[IRanges]{DataFrame} object. } \item{keep.extra.columns}{ \code{TRUE} or \code{FALSE} (the default). If \code{TRUE}, then the columns in \code{df} that are not used to form the genomic ranges returned in the \link{GRanges} object will be stored in it as metadata columns. Otherwise, they will be ignored. } \item{ignore.strand}{ \code{TRUE} or \code{FALSE} (the default). If \code{TRUE}, then the strand of the returned \link{GRanges} object will be set to \code{"*"}. } \item{seqinfo}{ Either \code{NULL}, or a \link{Seqinfo} object, or a character vector of seqlevels, or a named numeric vector of sequence lengths. When not \code{NULL}, it must be compatible with the genomic ranges in \code{df} i.e. it must include at least the sequence levels represented in \code{df}. } \item{seqnames.field}{ A character vector of recognized names for the column in \code{df} that contains the chromosome name (a.k.a. sequence name) associated with each genomic range. Only the first name in \code{seqnames.field} that is found in \code{colnames(df)} will be used. If no one is found, then an error is raised. } \item{start.field}{ A character vector of recognized names for the column in \code{df} that contains the start positions of the genomic ranges. Only the first name in \code{start.field} that is found in \code{colnames(df)} will be used. If no one is found, then an error is raised. } \item{end.field}{ A character vector of recognized names for the column in \code{df} that contains the end positions of the genomic ranges. Only the first name in \code{start.field} that is found in \code{colnames(df)} will be used. If no one is found, then an error is raised. } \item{strand.field}{ A character vector of recognized names for the column in \code{df} that contains the strand associated with each genomic range. Only the first name in \code{strand.field} that is found in \code{colnames(df)} will be used. If no one is found or if \code{ignore.strand} is \code{TRUE}, then the strand of the returned \link{GRanges} object will be set to \code{"*"}. } \item{starts.in.df.are.0based}{ \code{TRUE} or \code{FALSE} (the default). If \code{TRUE}, then the start positions of the genomic ranges in \code{df} are considered to be 0-based and are converted to 1-based in the returned \link{GRanges} object. This feature is intended to make it more convenient to handle input that contains data obtained from resources using the "0-based start" convention. A notorious example of such resource is the UCSC Table Browser (\url{http://genome.ucsc.edu/cgi-bin/hgTables}). } } \value{ A \link{GRanges} object with one element per row in the input. If the \code{seqinfo} argument was supplied, the returned object will have exactly the seqlevels specified in \code{seqinfo} and in the same order. If \code{df} has non-automatic row names (i.e. \code{rownames(df)} is not \code{NULL} or \code{seq_len(nrow(df))}), then they will be used to set the names of the returned \link{GRanges} object. } \author{ H. Pages, based on a proposal by Kasper Daniel Hansen } \seealso{ \itemize{ \item \link{GRanges} objects. \item \link{Seqinfo} objects. \item The \code{\link{makeGRangesListFromFeatureFragments}} function for making a \link{GRangesList} object from a list of fragmented features. \item The \code{\link[rtracklayer]{getTable}} function in the \pkg{rtracklayer} package for an R interface to the UCSC Table Browser. \item \link[IRanges]{DataFrame} objects in the \pkg{IRanges} package. } } \examples{ df <- data.frame(chr="chr1", start=11:13, end=12:14, strand=c("+","-","+"), score=1:3) makeGRangesFromDataFrame(df) gr <- makeGRangesFromDataFrame(df, keep.extra.columns=TRUE) gr2 <- as(df, "GRanges") # equivalent to the above stopifnot(identical(gr, gr2)) makeGRangesFromDataFrame(df, ignore.strand=TRUE) makeGRangesFromDataFrame(df, keep.extra.columns=TRUE, ignore.strand=TRUE) makeGRangesFromDataFrame(df, seqinfo=paste0("chr", 4:1)) makeGRangesFromDataFrame(df, seqinfo=c(chrM=NA, chr1=500, chrX=100)) makeGRangesFromDataFrame(df, seqinfo=Seqinfo(paste0("chr", 4:1))) if (require(rtracklayer)) { session <- browserSession() genome(session) <- "sacCer2" query <- ucscTableQuery(session, "Most Conserved") df <- getTable(query) ## A common pitfall is to forget that the UCSC Table Browser uses the ## "0-based start" convention: gr0 <- makeGRangesFromDataFrame(df, keep.extra.columns=TRUE) head(gr0) min(start(gr0)) ## The start positions need to be converted into 1-based positions, ## to adhere to the convention used in Bioconductor: gr1 <- makeGRangesFromDataFrame(df, keep.extra.columns=TRUE, starts.in.df.are.0based=TRUE) head(gr1) } } \keyword{manip} GenomicRanges/man/makeSeqnameIds.Rd0000644000126300012640000000221212227070335020605 0ustar00biocbuildphs_compbio\name{makeSeqnameIds} \alias{makeSeqnameIds} \title{Assign sequence IDs to sequence names} \description{ \code{makeSeqnameIds} assigns a unique ID to each unique sequence name in the input vector. The returned IDs span 1:N where N is the number of unique sequence names in the input vector. } \usage{ makeSeqnameIds(seqnames, X.is.sexchrom=NA) } \arguments{ \item{seqnames}{ A character vector or factor containing sequence names. } \item{X.is.sexchrom}{ A logical indicating whether X refers to the sexual chromosome or to chromosome with Roman Numeral X. If \code{NA}, \code{makeSeqnameIds} does its best to "guess". } } \value{ An integer vector of the same length as \code{seqnames}. The values in the vector span 1:N where N is the number of unique sequence names in the input vector. } \author{ H. Pages } \seealso{ \itemize{ \item \code{\link{sortSeqlevels}} for sorting the sequence levels of an object in "natural" order. } } \examples{ library(BSgenome.Scerevisiae.UCSC.sacCer2) makeSeqnameIds(seqnames(Scerevisiae)) makeSeqnameIds(seqnames(Scerevisiae)[c(1:5,5:1)]) } \keyword{manip} GenomicRanges/man/map-methods.Rd0000644000126300012640000000453212227070335020143 0ustar00biocbuildphs_compbio\name{map-methods} \alias{map,GenomicRanges,GRangesList-method} \alias{map,GenomicRanges,GAlignments-method} \alias{coerce,RangesMapping,GenomicRanges-method} \alias{granges,RangesMapping-method} \title{Mapping ranges between sequences} \description{ The GenomicRanges package provides several methods for the \code{\link[IRanges]{map}} generic. They each translate a set of input ranges through a certain type of alignment and return a \code{\link[IRanges:RangesMapping-class]{RangesMapping}} object. } \usage{ \S4method{map}{GenomicRanges,GRangesList}(from, to) \S4method{map}{GenomicRanges,GAlignments}(from, to) } \arguments{ \item{from}{The input ranges to map, usually a \code{\linkS4class{GenomicRanges}}} \item{to}{The alignment between the sequences in \code{from} and the sequences in the result.} } \value{ An object of class \code{RangesMapping}. The GenomicRanges package provides some additional methods on this object: \item{}{\code{as(from, "GenomicRanges")}: Creates a \code{\linkS4class{GenomicRanges}} with \code{seqnames} and \code{ranges} from the \code{space} and \code{ranges} of \code{from}. The \code{hits} are coerced to a \code{DataFrame} and stored as the \code{values} of the result. } \item{}{\code{granges(x)}: Like the above, except returns just the range information as a \code{GRanges}, without the matching information. } } \details{ The methods currently depend on the type of \code{to}: \describe{ \item{GRangesList}{Each element is taken to represent an alignment of a sequence on a genome. The typical case is a set of transcript models, as might be obtained via \code{GenomicFeatures::exonsBy}. The method translates the input ranges to be relative to the transcript start. This is useful, for example, when predicting coding consequences of changes to the genomic sequence. } \item{GAlignments}{Each element is taken to represent the alignment of a (read) sequence. The CIGAR string is used to translate the input ranges to be relative to the read start. This is useful, for example, when determining the cycle (read position) at which a particular genomic mismatch occurs. } } } \seealso{ The \code{\link[IRanges:RangesMapping-class]{RangesMapping}} class is the typical return value. } \author{M. Lawrence} GenomicRanges/man/nearest-methods.Rd0000644000126300012640000002153712227070335021033 0ustar00biocbuildphs_compbio\name{nearest-methods} \alias{nearest-methods} \alias{precede,GenomicRanges,GenomicRanges-method} \alias{precede,GenomicRanges,missing-method} \alias{follow,GenomicRanges,GenomicRanges-method} \alias{follow,GenomicRanges,missing-method} \alias{nearest,GenomicRanges,GenomicRanges-method} \alias{nearest,GenomicRanges,missing-method} \alias{distance,GenomicRanges,GenomicRanges-method} \alias{distanceToNearest,GenomicRanges,GenomicRanges-method} \alias{distanceToNearest,GenomicRanges,missing-method} \title{Finding the nearest genomic range neighbor} \description{ The \code{nearest}, \code{precede}, \code{follow}, \code{distance} and \code{distanceToNearest} methods for \code{\linkS4class{GenomicRanges}} objects and subclasses. } \usage{ \S4method{precede}{GenomicRanges,GenomicRanges}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{precede}{GenomicRanges,missing}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{follow}{GenomicRanges,GenomicRanges}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{follow}{GenomicRanges,missing}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{nearest}{GenomicRanges,GenomicRanges}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{nearest}{GenomicRanges,missing}(x, subject, select=c("arbitrary", "all"), ignore.strand=FALSE, ...) \S4method{distanceToNearest}{GenomicRanges,GenomicRanges}(x, subject, ignore.strand=FALSE, ...) \S4method{distanceToNearest}{GenomicRanges,missing}(x, subject, ignore.strand=FALSE, ...) \S4method{distance}{GenomicRanges,GenomicRanges}(x, y, ignore.strand=FALSE, ...) } \arguments{ \item{x}{The query \link{GenomicRanges} instance. } \item{subject}{The subject \link{GenomicRanges} instance within which the nearest neighbors are found. Can be missing, in which case \code{x} is also the subject. } \item{y}{For the \code{distance} method, a \code{GRanges} instance. Cannot be missing. If \code{x} and \code{y} are not the same length, the shortest will be recycled to match the length of the longest. } \item{select}{Logic for handling ties. By default, all methods select a single interval (arbitrary for \code{nearest}, the first by order in \code{subject} for \code{precede}, and the last for \code{follow}). When \code{select="all"} a \link[IRanges]{Hits} object is returned with all matches for \code{x}. If \code{x} does not have a match in \code{subject} the \code{x} is not included in the \code{Hits} object. } \item{ignore.strand}{ A \code{logical} indicating if the strand of the input ranges should be ignored. When \code{TRUE}, strand is set to \code{'+'}. } \item{...}{Additional arguments for methods.} } \details{ \itemize{ \item{nearest: }{ Performs conventional nearest neighbor finding. Returns an integer vector containing the index of the nearest neighbor range in \code{subject} for each range in \code{x}. If there is no nearest neighbor \code{NA} is returned. For details of the algorithm see the man page in IRanges, ?\code{nearest}. } \item{precede: }{ For each range in \code{x}, \code{precede} returns the index of the range in \code{subject} that is directly preceded by the range in \code{x}. Overlapping ranges are excluded. \code{NA} is returned when there are no qualifying ranges in \code{subject}. } \item{follow: }{ The opposite of \code{precede}, \code{follow} returns the index of the range in \code{subject} that is directly followed by the range in \code{x}. Overlapping ranges are excluded. \code{NA} is returned when there are no qualifying ranges in \code{subject}. } \item{Orientation and Strand: }{ The relevant orientation for \code{precede} and \code{follow} is 5' to 3', consistent with the direction of translation. Because positional numbering along a chromosome is from left to right and transcription takes place from 5' to 3', \code{precede} and \code{follow} can appear to have `opposite' behavior on the \code{+} and \code{-} strand. Using positions 5 and 6 as an example, 5 precedes 6 on the \code{+} strand but follows 6 on the \code{-} strand. A range with strand \code{*} can be compared to ranges on either the \code{+} or \code{-} strand. Below we outline the priority when ranges on multiple strands are compared. When \code{ignore.strand=TRUE} all ranges are treated as if on the \code{+} strand. \itemize{ \item{}{x on + strand can match to ranges on both + and * strands. In the case of a tie the first range by order is chosen. } \item{}{x on - strand can match to ranges on both - and * strands. In the case of a tie the first range by order is chosen. } \item{}{x on * strand can match to ranges on any of +, - or * strands. In the case of a tie the first range by order is chosen. } } } \item{distanceToNearest: }{Returns the distance for each range in \code{x} to its nearest neighbor in the \code{subject}. } \item{distance: }{ Returns the distance for each range in \code{x} to the range in \code{y}. The behavior of \code{distance} has changed in Bioconductor 2.12. See the man page \code{?distance} in IRanges for details. } } } \value{ For \code{nearest}, \code{precede} and \code{follow}, an integer vector of indices in \code{subject}, or a \code{\linkS4class{Hits}} if \code{select="all"}. For \code{distanceToNearest}, a \code{Hits} object with a column for the \code{query} index (queryHits), \code{subject} index (subjectHits) and the \code{distance} between the pair. For \code{distance}, an integer vector of distances between the ranges in \code{x} and \code{y}. } \author{P. Aboyoun and V. Obenchain } \seealso{ \itemize{ \item The \link{GenomicRanges} and \link{GRanges} classes. \item The \link[IRanges]{Ranges} and \link[IRanges]{Hits} classes in the IRanges package. \item The \link[IRanges]{nearest-methods} man page in the IRanges package. \item \link[GenomicRanges]{findOverlaps-methods} for finding just the overlapping ranges. \item The \link[GenomicFeatures]{nearest-methods} man page in the GenomicFeatures package. } } \examples{ ## ----------------------------------------------------------- ## precede() and follow() ## ----------------------------------------------------------- query <- GRanges("A", IRanges(c(5, 20), width=1), strand="+") subject <- GRanges("A", IRanges(rep(c(10, 15), 2), width=1), strand=c("+", "+", "-", "-")) precede(query, subject) follow(query, subject) strand(query) <- "-" precede(query, subject) follow(query, subject) ## ties choose first in order query <- GRanges("A", IRanges(10, width=1), c("+", "-", "*")) subject <- GRanges("A", IRanges(c(5, 5, 5, 15, 15, 15), width=1), rep(c("+", "-", "*"), 2)) precede(query, subject) precede(query, rev(subject)) ## ignore.strand=TRUE treats all ranges as '+' precede(query[1], subject[4:6], select="all", ignore.strand=FALSE) precede(query[1], subject[4:6], select="all", ignore.strand=TRUE) ## ----------------------------------------------------------- ## nearest() ## ----------------------------------------------------------- ## When multiple ranges overlap an "arbitrary" range is chosen query <- GRanges("A", IRanges(5, 15)) subject <- GRanges("A", IRanges(c(1, 15), c(5, 19))) nearest(query, subject) ## select="all" returns all hits nearest(query, subject, select="all") ## Ranges in 'x' will self-select when 'subject' is present query <- GRanges("A", IRanges(c(1, 10), width=5)) nearest(query, query) ## Ranges in 'x' will not self-select when 'subject' is missing nearest(query) ## ----------------------------------------------------------- ## distance(), distanceToNearest() ## ----------------------------------------------------------- ## Adjacent, overlap, separated by 1 query <- GRanges("A", IRanges(c(1, 2, 10), c(5, 8, 11))) subject <- GRanges("A", IRanges(c(6, 5, 13), c(10, 10, 15))) distance(query, subject) ## recycling distance(query[1], subject) ## zero-width ranges zw <- GRanges("A", IRanges(4,3)) stopifnot(distance(zw, GRanges("A", IRanges(3,4))) == 0L) sapply(-3:3, function(i) distance(shift(zw, i), GRanges("A", IRanges(4,3)))) query <- GRanges(c("A", "B"), IRanges(c(1, 5), width=1)) distanceToNearest(query, subject) ## distance() with GRanges and TranscriptDb see the ## ?'distance,GenomicRanges,TranscriptDb-method' man ## page in the GenomicFeatures package. } \keyword{utilities} GenomicRanges/man/phicoef.Rd0000644000126300012640000000205512227070335017340 0ustar00biocbuildphs_compbio\name{phicoef} \alias{phicoef} \title{Calculate the "phi coefficient" between two binary variables} \description{ The \code{phicoef} function calculates the "phi coefficient" between two binary variables. } \usage{ phicoef(x, y=NULL) } \arguments{ \item{x, y}{ Two logical vectors of the same length. If \code{y} is not supplied, \code{x} must be a 2x2 integer matrix (or an integer vector of length 4) representing the contingency table of two binary variables. } } \value{ The "phi coefficient" between the two binary variables. This is a single numeric value ranging from -1 to +1. } \references{ \url{http://en.wikipedia.org/wiki/Phi_coefficient} } \author{ H. Pages } \examples{ set.seed(33) x <- sample(c(TRUE, FALSE), 100, replace=TRUE) y <- sample(c(TRUE, FALSE), 100, replace=TRUE) phicoef(x, y) phicoef(rep(x, 10), c(rep(x, 9), y)) stopifnot(phicoef(table(x, y)) == phicoef(x, y)) stopifnot(phicoef(y, x) == phicoef(x, y)) stopifnot(phicoef(x, !y) == - phicoef(x, y)) stopifnot(phicoef(x, x) == 1) } \keyword{manip} GenomicRanges/man/seqinfo.Rd0000644000126300012640000002334212227070335017371 0ustar00biocbuildphs_compbio\name{seqinfo} \alias{seqinfo} \alias{seqinfo<-} \alias{seqnames} \alias{seqnames<-} \alias{seqlevels} \alias{seqlevels,ANY-method} \alias{seqlevels<-} \alias{seqlevels<-,ANY-method} \alias{sortSeqlevels} \alias{sortSeqlevels,character-method} \alias{sortSeqlevels,ANY-method} \alias{seqlevelsInUse} \alias{seqlevelsInUse,Vector-method} \alias{seqlevelsInUse,CompressedList-method} \alias{seqlevels0} \alias{seqlengths} \alias{seqlengths,ANY-method} \alias{seqlengths<-} \alias{seqlengths<-,ANY-method} \alias{isCircular} \alias{isCircular,ANY-method} \alias{isCircular<-} \alias{isCircular<-,ANY-method} \alias{genome} \alias{genome,ANY-method} \alias{genome<-} \alias{genome<-,ANY-method} \alias{seqnameStyle} \alias{seqnameStyle,ANY-method} \alias{seqnameStyle<-} \alias{seqnameStyle<-,ANY-method} \alias{seqinfo,List-method} \alias{seqinfo<-,List-method} \alias{seqinfo,RangedData-method} \alias{seqinfo<-,RangedData-method} \alias{seqinfo,RangesList-method} \alias{seqnames,RangesList-method} \alias{seqnames,RangedData-method} \title{Accessing/modifying sequence information} \description{ A set of generic functions for getting/setting/modifying the sequence information stored in an object. } \usage{ seqinfo(x) seqinfo(x, new2old=NULL, force=FALSE) <- value seqnames(x) seqnames(x) <- value seqlevels(x) seqlevels(x, force=FALSE) <- value sortSeqlevels(x, X.is.sexchrom=NA) seqlevelsInUse(x) seqlevels0(x) seqlengths(x) seqlengths(x) <- value isCircular(x) isCircular(x) <- value genome(x) genome(x) <- value seqnameStyle(x) seqnameStyle(x) <- value } \arguments{ \item{x}{ The object from/on which to get/set the sequence information. } \item{new2old}{ The \code{new2old} argument allows the user to rename, drop, add and/or reorder the "sequence levels" in \code{x}. \code{new2old} can be \code{NULL} or an integer vector with one element per row in \link{Seqinfo} object \code{value} (i.e. \code{new2old} and \code{value} must have the same length) describing how the "new" sequence levels should be mapped to the "old" sequence levels, that is, how the rows in \code{value} should be mapped to the rows in \code{seqinfo(x)}. The values in \code{new2old} must be >= 1 and <= \code{length(seqinfo(x))}. \code{NA}s are allowed and indicate sequence levels that are being added. Old sequence levels that are not represented in \code{new2old} will be dropped, but this will fail if those levels are in use (e.g. if \code{x} is a \link{GRanges} object with ranges defined on those sequence levels) unless \code{force=TRUE} is used (see below). If \code{new2old=NULL}, then sequence levels can only be added to the existing ones, that is, \code{value} must have at least as many rows as \code{seqinfo(x)} (i.e. \code{length(values) >= length(seqinfo(x))}) and also \code{seqlevels(values)[seq_len(length(seqlevels(x)))]} must be identical to \code{seqlevels(x)}. } \item{force}{ Force dropping sequence levels currently in use. This is achieved by dropping the elements in \code{x} where those levels are used (hence typically reducing the length of \code{x}). } \item{value}{ Typically a \link{Seqinfo} object for the \code{seqinfo} setter. Either a named or unnamed character vector for the \code{seqlevels} setter. A vector containing the sequence information to store for the other setters. } \item{X.is.sexchrom}{ A logical indicating whether X refers to the sexual chromosome or to chromosome with Roman Numeral X. If \code{NA}, \code{sortSeqlevels} does its best to "guess". } } \details{ The \link{Seqinfo} class plays a central role for the functions described in this man page because: \itemize{ \item All these functions (except \code{seqinfo}, \code{seqlevelsInUse}, and \code{seqlevels0}) work on a \link{Seqinfo} object. \item For classes that implement it, the \code{seqinfo} getter should return a \link{Seqinfo} object. \item Default \code{seqlevels}, \code{seqlengths}, \code{isCircular}, \code{genome}, and \code{seqnameStyle} getters and setters are provided. By default, \code{seqlevels(x)} does \code{seqlevels(seqinfo(x))}, \code{seqlengths(x)} does \code{seqlengths(seqinfo(x))}, \code{isCircular(x)} does \code{isCircular(seqinfo(x))}, \code{genome(x)} does \code{genome(seqinfo(x))}, and \code{seqnameStyle(x)} does \code{seqnameStyle(seqinfo(x))}. So any class with a \code{seqinfo} getter will have all the above getters work out-of-the-box. If, in addition, the class defines a \code{seqinfo} setter, then all the corresponding setters will also work out-of-the-box. See the \link{GRanges}, \link{GRangesList}, \link{GAlignments}, and \link{GAlignmentPairs} classes for examples of classes that define the \code{seqinfo} getter and setter (those 4 classes are defined in the GenomicRanges package). See the \link[GenomicFeatures]{TranscriptDb} class (defined in the GenomicFeatures package) for an example of a class that defines only the \code{seqinfo} getter (no setter). } The GenomicRanges package defines \code{seqinfo} and \code{seqinfo<-} methods for these low-level IRanges data structures: \code{List}, \code{RangesList} and \code{RangedData}. Those objects do not have the means to formally store sequence information. Thus, the wrappers simply store the \code{Seqinfo} object within \code{metadata(x)}. Initially, the metadata is empty, so there is some effort to generate a reasonable default \code{Seqinfo}. The names of any \code{List} are taken as the \code{seqnames}, and the \code{universe} of \code{RangesList} or \code{RangedData} is taken as the \code{genome}. } \note{ The full list of methods defined for a given generic can be seen with e.g. \code{showMethods("seqinfo")} or \code{showMethods("seqnames")} (for the getters), and \code{showMethods("seqinfo<-")} or \code{showMethods("seqnames<-")} (for the setters aka \emph{replacement methods}). Please be aware that this shows only methods defined in packages that are currently attached. } \author{H. Pages} \seealso{ \itemize{ \item \link{Seqinfo-class}. \item \link{GRanges}, \link{GRangesList}, \link{GAlignments}, \link{GAlignmentPairs}, \link{GAlignmentsList}, \link{SummarizedExperiment}, and \link[GenomicFeatures]{TranscriptDb}, for examples of objects on which the functions described in this man page work. \item \link{seqlevels-utils} for convenience wrappers to the \code{seqlevels} getter and setter. \item \code{\link{makeSeqnameIds}}, on which \code{sortSeqlevels} is based. } } \examples{ ## --------------------------------------------------------------------- ## Finding methods. ## --------------------------------------------------------------------- showMethods("seqinfo") showMethods("seqinfo<-") showMethods("seqnames") showMethods("seqnames<-") showMethods("seqlevels") showMethods("seqlevels<-") if (interactive()) ?`GRanges-class` ## --------------------------------------------------------------------- ## Modify seqlevels of an object. ## --------------------------------------------------------------------- ## Overlap and matching operations between objects require matching ## seqlevels. Often the seqlevels in one must be modified to match ## the other. The seqlevels() function can rename, drop, add and reorder ## seqlevels of an object. Examples below are shown on TranscriptDb ## and GRanges but the approach is the same for all objects that have ## a 'Seqinfo' class. library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene seqlevels(txdb) ## Rename: seqlevels(txdb) <- sub("chr", "", seqlevels(txdb)) seqlevels(txdb) seqlevels(txdb) <- paste0("CH", seqlevels(txdb)) seqlevels(txdb) seqlevels(txdb)[seqlevels(txdb) == "CHM"] <- "M" seqlevels(txdb) ## Add: gr <- GRanges(c("chr1", "chr2", "chr3"), IRanges(1:3, 5)) seqlevels(gr) seqlevels(gr) <- c(seqlevels(gr), "chr4") seqlevels(gr) ## Reorder: seqlevels(gr) <- c("chr2", "chr3", "chr1", "chr4") seqlevels(gr) ## Drop: seqlevels(gr, force=TRUE) <- c("chr2", "chr1", "chr4") seqlevels(gr) ## Rename/Add/Reorder: seqlevels(gr) <- c(chr1="1", chr2="2", "chr4", "chr5") seqlevels(gr) ## --------------------------------------------------------------------- ## Sort seqlevels in "natural" order ## --------------------------------------------------------------------- sortSeqlevels(c("11", "Y", "1", "10", "9", "M", "2")) seqlevels <- c("chrXI", "chrY", "chrI", "chrX", "chrIX", "chrM", "chrII") sortSeqlevels(seqlevels) sortSeqlevels(seqlevels, X.is.sexchrom=TRUE) sortSeqlevels(seqlevels, X.is.sexchrom=FALSE) seqlevels <- c("chr2RHet", "chr4", "chrUextra", "chrYHet", "chrM", "chrXHet", "chr2LHet", "chrU", "chr3L", "chr3R", "chr2R", "chrX") sortSeqlevels(seqlevels) gr <- GRanges() seqlevels(gr) <- seqlevels sortSeqlevels(gr) ## --------------------------------------------------------------------- ## Subset objects by seqlevels. ## --------------------------------------------------------------------- tx <- transcripts(txdb) seqlevels(tx) ## Drop 'M', keep all others. seqlevels(tx, force=TRUE) <- seqlevels(tx)[seqlevels(tx) != "M"] seqlevels(tx) ## Drop all except 'ch3L' and 'ch3R'. seqlevels(tx, force=TRUE) <- c("ch3L", "ch3R") seqlevels(tx) ## --------------------------------------------------------------------- ## Restore original seqlevels. ## --------------------------------------------------------------------- ## Applicable to TranscriptDb objects only. \dontrun{ seqlevels0(txdb) seqlevels(txdb) } } \keyword{methods} GenomicRanges/man/seqlevels-utils.Rd0000644000126300012640000001234012227070335021062 0ustar00biocbuildphs_compbio\name{utils} \docType{methods} \alias{seqlevels-utils} \alias{keepSeqlevels} \alias{dropSeqlevels} \alias{renameSeqlevels} \alias{restoreSeqlevels} \title{ seqlevels utility functions } \description{ Keep, drop or rename seqlevels in objects with a \link{Seqinfo} class. } \usage{ keepSeqlevels(x, value, ...) dropSeqlevels(x, value, ...) renameSeqlevels(x, value, ...) restoreSeqlevels(x, ...) } \arguments{ \item{x}{ Any object having a \link{Seqinfo} class in which the seqlevels will be kept, dropped or renamed. } \item{value}{ A named or unnamed character vector. Names are ignored by \code{keepSeqlevels} and \code{dropSeqlevels}. Only the values in the character vector dictate which seqlevels to keep or drop. In the case of \code{renameSeqlevels}, the names are used to map new sequence levels to the old (names correspond to the old levels). When \code{value} is unnamed, the replacement vector must the same length and in the same order as the original \code{seqlevels(x)}. } \item{...}{ Arguments passed to other functions. } } \value{ The \code{x} object with seqlevels removed or renamed. If \code{x} has no seqlevels (empty object) or no replacement values match the current seqlevels in \code{x} the unchanged \code{x} is returned. } \details{ Matching and overlap operations on range objects often require that the seqlevels match before a comparison can be made (e.g., \code{findOverlaps}). \code{keepSeqlevels}, \code{dropSeqlevels} and \code{renameSeqlevels} are high-level convenience functions that wrap the low-level \code{seqlevels} function. \code{keepSeqlevels}, \code{dropSeqlevels}: Subsetting operations that modify the size of \code{x}. \code{keepSeqlevels} keeps only the seqlevels in \code{value} and removes all others. \code{dropSeqlevels} drops the levels in \code{value} and retains all others. If \code{value} does not match any seqlevels in \code{x} an empty object is returned. \code{renameSeqlevels}: Rename the seqlevels in \code{x} to those in \code{value}. If \code{value} is a named character vector, the names are used to map the new seqlevels to the old. When \code{value} is unnamed, the replacment vector must be the same length and in the same order as the original \code{seqlevels(x)}. \code{restoreSeqlevels}: Restore the seqlevels in \code{x} back to the original values. Applicable only when \code{x} is a TranscriptDb. The function re-initializes the TranscriptDb which resets the seqlevels, removes masks and any other previous modifications. } \seealso{ \itemize{ \item \link{seqinfo} ## Accessing sequence information \item \link{Seqinfo} ## The Seqinfo class } } \examples{ ## --------------------------------------------------------------------- ## keepSeqlevels / dropSeqlevels ## --------------------------------------------------------------------- ## GRanges / GAlignments: gr <- GRanges(c("chr1", "chr1", "chr2", "chr3"), IRanges(1:4, width=3)) seqlevels(gr) ## Keep only 'chr1' chr1 <- keepSeqlevels(gr, "chr1") ## Drop 'chr1'. Both 'chr2' and 'chr3' are kept. chr2 <- dropSeqlevels(gr, "chr1") library(Rsamtools) fl <- system.file("extdata", "ex1.bam", package="Rsamtools") gal <- readGAlignments(fl) seqlevels(gal) ## If 'value' is named, the names are ignored. seq2 <- keepSeqlevels(gal, c(foo="seq2")) seqlevels(seq2) ## GRangesList / GAlignmentsList: grl <- split(gr, as.character(seqnames(gr))) dropSeqlevels(grl, c("chr1", "chr2")) galist <- split(gal, as.character(seqnames(gal))) keepSeqlevels(galist, "seq2") ## TranscriptDb: ## A TranscriptDb cannot be directly subset with 'keepSeqlevels' ## and 'dropSeqlevels'. library(TxDb.Dmelanogaster.UCSC.dm3.ensGene) txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene seqlevels(txdb) \dontrun{ keepSeqlevels(txdb, "chr2L") ## fails } ## GRanges or GRangesLists extracted from the TranscriptDb can be subset. txbygene <- transcriptsBy(txdb, "gene") seqlevels(txbygene) chr2L <- keepSeqlevels(txbygene, "chr2L") seqlevels(chr2L) ## --------------------------------------------------------------------- ## renameSeqlevels ## --------------------------------------------------------------------- ## GAlignments: seqlevels(gal) ## Rename 'seq2' to 'chr2' with a named or unnamed vector. gal2a <- renameSeqlevels(gal, c(seq2="chr2")) gal2b <- renameSeqlevels(gal, c("seq1", "chr2")) ## Names that do not match existing seqlevels are ignored. ## This attempt at renaming does nothing. gal3 <- renameSeqlevels(gal, c(foo="chr2")) identical(seqlevels(gal), seqlevels(gal3)) ## TranscriptDb: seqlevels(txdb) ## When the seqlevels of a TranscriptDb are renamed, all future ## extractions reflect the modified seqlevels. renameSeqlevels(txdb, sub("chr", "CH", seqlevels(txdb))) renameSeqlevels(txdb, c(CHM="M")) seqlevels(txdb) transcripts <- transcripts(txdb) identical(seqlevels(txdb), seqlevels(transcripts)) ## --------------------------------------------------------------------- ## restoreSeqlevels ## --------------------------------------------------------------------- ## Restore seqlevels in a TranscriptDb to original values. \dontrun{ restoreSeqlevels(txdb) seqlevels(txdb) } } \author{Valerie Obenchain \email{vobencha@fhcrc.org}} \keyword{methods} \keyword{utilities} GenomicRanges/man/setops-methods.Rd0000644000126300012640000001555212227070335020707 0ustar00biocbuildphs_compbio\name{setops-methods} \alias{setops-methods} \alias{union,GRanges,GRanges-method} \alias{intersect,GRanges,GRanges-method} \alias{setdiff,GRanges,GRanges-method} \alias{punion,GRanges,GRanges-method} \alias{punion,GRanges,GRangesList-method} \alias{punion,GRangesList,GRanges-method} \alias{pintersect,GRanges,GRanges-method} \alias{pintersect,GRanges,GRangesList-method} \alias{pintersect,GRangesList,GRanges-method} \alias{pintersect,GRangesList,GRangesList-method} \alias{pintersect,GAlignments,GRanges-method} \alias{pintersect,GRanges,GAlignments-method} \alias{psetdiff,GRanges,GRanges-method} \alias{psetdiff,GRanges,GRangesList-method} \alias{psetdiff,GRangesList,GRangesList-method} \alias{pgap,GRanges,GRanges-method} \title{Set operations on GRanges/GRangesList/GAlignments objects} \description{ Performs set operations on GRanges/GRangesList/GAlignments objects. } \usage{ ## Set operations \S4method{union}{GRanges,GRanges}(x, y, ignore.strand=FALSE, ...) \S4method{intersect}{GRanges,GRanges}(x, y, ignore.strand=FALSE, ...) \S4method{setdiff}{GRanges,GRanges}(x, y, ignore.strand=FALSE, ...) ## Parallel set operations \S4method{punion}{GRanges,GRanges}(x, y, fill.gap=FALSE, ignore.strand=FALSE, ...) \S4method{pintersect}{GRanges,GRanges}(x, y, resolve.empty=c("none", "max.start", "start.x"), ignore.strand=FALSE, ...) \S4method{pintersect}{GAlignments,GRanges}(x, y, ...) \S4method{psetdiff}{GRanges,GRanges}(x, y, ignore.strand=FALSE, ...) } \arguments{ \item{x, y}{ For \code{union}, \code{intersect}, \code{setdiff}, \code{pgap}: \code{x} and \code{y} must both be \link{GRanges} objects. For \code{punion}: one of \code{x} or \code{y} must be a \link{GRanges} object, the other one can be a \link{GRanges} or \link{GRangesList} object. For \code{pintersect}: one of \code{x} or \code{y} must be a \link{GRanges} object, the other one can be a \link{GRanges}, \link{GRangesList} or \link{GAlignments} object. For \code{psetdiff}: \code{x} and \code{y} can be any combination of \link{GRanges} and/or \link{GRangesList} objects, with the exception that if \code{x} is a \link{GRangesList} object then \code{y} must be a \link{GRangesList} too. In addition, for the "parallel" operations, \code{x} and \code{y} must be of equal length (i.e. \code{length(x) == length(y)}). } \item{fill.gap}{ Logical indicating whether or not to force a union by using the rule \code{start = min(start(x), start(y)), end = max(end(x), end(y))}. } \item{resolve.empty}{ One of \code{"none"}, \code{"max.start"}, or \code{"start.x"} denoting how to handle ambiguous empty ranges formed by intersections. \code{"none"} - throw an error if an ambiguous empty range is formed, \code{"max.start"} - associate the maximum start value with any ambiguous empty range, and \code{"start.x"} - associate the start value of \code{x} with any ambiguous empty range. (See \code{\link[IRanges]{pintersect}} for the definition of an ambiguous range.) } \item{ignore.strand}{ For set operations: If set to TRUE, then the strand of \code{x} and \code{y} is set to \code{"*"} prior to any computation. For parallel set operations: If set to TRUE, the strand information is ignored in the computation and the result has the strand information of \code{x}. } \item{...}{ Further arguments to be passed to or from other methods. } } \details{ The \code{pintersect} methods involving \link{GRanges}, \link{GRangesList} and/or \link{GAlignments} objects use the triplet (sequence name, range, strand) to determine the element by element intersection of features, where a strand value of \code{"*"} is treated as occurring on both the \code{"+"} and \code{"-"} strand. The \code{psetdiff} methods involving \link{GRanges} and/or \link{GRangesList} objects use the triplet (sequence name, range, strand) to determine the element by element set difference of features, where a strand value of \code{"*"} is treated as occurring on both the \code{"+"} and \code{"-"} strand. } \value{ For \code{union}, \code{intersect}, \code{setdiff}, and \code{pgap}: a \link{GRanges}. For \code{punion} and \code{pintersect}: when \code{x} or \code{y} is not a \link{GRanges} object, an object of the same class as this non-\link{GRanges} object. Otherwise, a \link{GRanges} object. For \code{psetdiff}: either a \link{GRanges} object when both \code{x} and \code{y} are \link{GRanges} objects, or a \link{GRangesList} object when \code{y} is a \link{GRangesList} object. } \author{P. Aboyoun} \seealso{ \link[IRanges]{setops-methods}, \link{GRanges-class}, \link{GRangesList-class}, \link{GAlignments-class}, \link{findOverlaps-methods} } \examples{ ## --------------------------------------------------------------------- ## A. SET OPERATIONS ## --------------------------------------------------------------------- x <- GRanges("chr1", IRanges(c(2, 9) , c(7, 19)), strand=c("+", "-")) y <- GRanges("chr1", IRanges(5, 10), strand="-") union(x, y) union(x, y, ignore.strand=TRUE) intersect(x, y) intersect(x, y, ignore.strand=TRUE) setdiff(x, y) setdiff(x, y, ignore.strand=TRUE) ## --------------------------------------------------------------------- ## B. PARALLEL SET OPERATIONS ## --------------------------------------------------------------------- \dontrun{ punion(x, shift(x, 7)) # will fail } punion(x, shift(x, 7), fill.gap=TRUE) pintersect(x, shift(x, 6)) \dontrun{ pintersect(x, shift(x, 7)) # will fail } pintersect(x, shift(x, 7), resolve.empty="max.start") psetdiff(x, shift(x, 7)) ## --------------------------------------------------------------------- ## C. MORE EXAMPLES ## --------------------------------------------------------------------- ## GRanges object: gr <- GRanges(seqnames=c("chr2", "chr1", "chr1"), ranges=IRanges(1:3, width = 12), strand=Rle(strand(c("-", "*", "-")))) ## GRangesList object gr1 <- GRanges(seqnames="chr2", ranges=IRanges(3, 6)) gr2 <- GRanges(seqnames=c("chr1", "chr1"), ranges=IRanges(c(7,13), width = 3), strand=c("+", "-")) gr3 <- GRanges(seqnames=c("chr1", "chr2"), ranges=IRanges(c(1, 4), c(3, 9)), strand=c("-", "-")) grlist <- GRangesList(gr1=gr1, gr2=gr2, gr3=gr3) ## Parallel intersection of a GRanges and a GRangesList object pintersect(gr, grlist) pintersect(grlist, gr) ## Parallel intersection of a GAlignments and a GRanges object library(Rsamtools) # because file ex1.bam is in this package galn_file <- system.file("extdata", "ex1.bam", package="Rsamtools") galn <- readGAlignments(galn_file) pintersect(galn, shift(as(galn, "GRanges"), 6L)) ## Parallel set difference of a GRanges and a GRangesList object psetdiff(gr, grlist) ## Parallel set difference of two GRangesList objects psetdiff(grlist, shift(grlist, 3)) } \keyword{methods} \keyword{utilities} GenomicRanges/man/strand-utils.Rd0000644000126300012640000000424712227070335020361 0ustar00biocbuildphs_compbio\name{strand-utils} \alias{strand-utils} \alias{strand,missing-method} \alias{strand,character-method} \alias{strand,factor-method} \alias{strand,integer-method} \alias{strand,logical-method} \alias{strand,Rle-method} \alias{strand,DataTable-method} \alias{strand<-,DataTable-method} \title{Strand utilities} \description{ Some useful \code{strand} methods. } \usage{ \S4method{strand}{missing}(x) \S4method{strand}{character}(x) \S4method{strand}{factor}(x) \S4method{strand}{integer}(x) \S4method{strand}{logical}(x) \S4method{strand}{Rle}(x) \S4method{strand}{DataTable}(x) \S4method{strand}{DataTable}(x) <- value } \arguments{ \item{x}{The object from which to obtain a strand factor, can be missing.} \item{value}{Replacement value for the strand.} } \details{ If \code{x} is missing, returns an empty factor with the standard levels that any strand factor should have: \code{+}, \code{-}, and \code{*}. If \code{x} is a character vector or factor, it is coerced to a factor with the levels listed above. If \code{x} is an integer vector, it is coerced to a factor with the levels listed above. \code{1} and \code{-1} values in \code{x} are mapped to the \code{+} and \code{-} levels respectively. \code{NA}s in \code{x} produce \code{NA}s in the result. If \code{x} is a logical vector, it is coerced to a factor with the levels listed above. \code{FALSE} and \code{TRUE} values in \code{x} are mapped to the \code{+} and \code{-} levels respectively. \code{NA}s in \code{x} produce \code{NA}s in the result. If \code{x} is a 'logical'-\link[IRanges]{Rle} vector, it is transformed with \code{runValue(x) <- strand(runValue(x))} and returned. If \code{x} inherits from \code{DataTable}, the \code{"strand"} column is returned as a factor with the levels listed above. If \code{x} has no \code{"strand"} column, this return value is populated with \code{NA}s. } \author{ Michael Lawrence } \seealso{ \code{\link[BiocGenerics]{strand}} } \examples{ strand() strand(c("+", "-", NA, "*")) strand(c(-1L, 1L, NA, -1L, NA)) strand(c(FALSE, FALSE, TRUE, NA, TRUE, FALSE)) strand(Rle(c(FALSE, FALSE, TRUE, NA, TRUE, FALSE))) } \keyword{methods} GenomicRanges/man/summarizeOverlaps.Rd0000644000126300012640000004154412227346740021467 0ustar00biocbuildphs_compbio\name{summarizeOverlaps} \alias{summarizeOverlaps} \alias{summarizeOverlaps,GRanges,GAlignments-method} \alias{summarizeOverlaps,GRangesList,GAlignments-method} \alias{summarizeOverlaps,GRanges,GAlignmentsList-method} \alias{summarizeOverlaps,GRangesList,GAlignmentsList-method} \alias{summarizeOverlaps,GRanges,GAlignmentPairs-method} \alias{summarizeOverlaps,GRangesList,GAlignmentPairs-method} \alias{Union} \alias{IntersectionStrict} \alias{IntersectionNotEmpty} \title{Perform overlap queries between reads and genomic features} \description{ \code{summarizeOverlaps} extends \code{findOverlaps} by providing options to resolve reads that overlap multiple features. } \usage{ \S4method{summarizeOverlaps}{GRanges,GAlignments}( features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) \S4method{summarizeOverlaps}{GRangesList,GAlignments}( features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) \S4method{summarizeOverlaps}{GRanges,GAlignmentPairs}( features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) \S4method{summarizeOverlaps}{GRangesList,GAlignmentPairs}( features, reads, mode, ignore.strand=FALSE, ..., inter.feature=TRUE) ## mode funtions Union(features, reads, ignore.strand=FALSE, inter.feature=TRUE) IntersectionStrict(features, reads, ignore.strand=FALSE, inter.feature=TRUE) IntersectionNotEmpty(features, reads, ignore.strand=FALSE, inter.feature=TRUE) } \arguments{ \item{reads}{ A \code{\link[Rsamtools]{BamFileList}} that represents the data to be counted by \code{summarizeOverlaps}. } \item{features}{ A \link{GRanges} or a \link{GRangesList} object of genomic regions of interest. When a \link{GRanges} is supplied, each row is considered a feature. When a \link{GRangesList} is supplied, each higher list-level is considered a feature. This distinction is important when defining overlaps. } \item{mode}{ A function that defines the method to be used when a read overlaps more than one feature. Pre-defined options are "Union", "IntersectionStrict", or "IntersectionNotEmpty" and are designed after the counting modes available in the HTSeq package by Simon Anders (see references). \itemize{ \item "Union" : (Default) Reads that overlap any portion of exactly one feature are counted. Reads that overlap multiple features are discarded. This is the most conservative of the 3 modes. \item "IntersectionStrict" : A read must fall completely "within" the feature to be counted. If a read overlaps multiple features but falls "within" only one, the read is counted for that feature. If the read is "within" multiple features, the read is discarded. \item "IntersectionNotEmpty" : A read must fall in a unique disjoint region of a feature to be counted. When a read overlaps multiple features, the features are partitioned into disjoint intervals. Regions that are shared between the features are discarded leaving only the unique disjoint regions. If the read overlaps one of these remaining regions, it is assigned to the feature the unique disjoint region came from. \item user supplied function : A function can be supplied as the \code{mode} argument. It must (1) have arguments that correspond to \code{features}, \code{reads}, \code{ignore.strand} and \code{inter.feature} arguments (as in the defined mode functions) and (2) return a vector of counts the same length as \code{features}. } } \item{ignore.strand}{ A logical indicating if strand should be considered when matching. } \item{inter.feature}{ (Default TRUE) A logical indicating if the counting \code{mode} should be aware of overlapping features. When TRUE (default), reads mapping to multiple features are dropped (i.e., not counted). When FALSE, these reads are retained and a count is assigned to each feature they map to. There are 6 possible combinations of the \code{mode} and \code{inter.feature} arguments. When \code{inter.feature=FALSE} the behavior of modes \sQuote{Union} and \sQuote{IntersectionStrict} are essentially \sQuote{countOverlaps} with \sQuote{type=any} and \code{type=within}, respectively. \sQuote{IntersectionNotEmpty} does not reduce to a simple countOverlaps because common (shared) regions of the annotation are removed before counting. } \item{...}{ Additional arguments for Bam file methods such as \code{fragments}, \code{singleEnd} or \code{param}. If using multiple cores, arguments can be passed through to mclapply used when counting Bam files. \describe{ \item{fragments}{ (Default FALSE) Applies to paired-end data only so \code{singleEnd} must be FALSE. \code{fragments} is a logical value indicating if singletons, reads with unmapped pairs and other fragments should be included in counting. When \code{fragments=FALSE} \code{readGAlignmentPairs} is used to read in the data, when \code{fragments=TRUE} \code{readGAlignmentsList} is used. \code{readGAlignmentPairs} keeps only the read pairs mated by the algorithm while \code{readGAlignmentsList} keeps the pairs as well as all singletons, reads with unmapped pairs and other fragments. When \code{fragments=TRUE} counts will generally be higher because all records are included in the counting, not just the primary alignment pairs. See ?\code{readGAlignmentsListFromBam} for the algorithm details. } \item{singleEnd}{ (Default TRUE) A logical value indicating if reads are single or paired-end. In Bioconductor > 2.12 it is not necessary to sort paired-end Bam files by \code{qname}. When counting with \code{summarizeOverlaps}, setting \code{singleEnd=FALSE} will trigger paired-end reading and counting. It is fine to also set \code{asMates=TRUE} in the \code{BamFile} but is not necessary when \code{singleEnd=FALSE}. } \item{param}{An optional \code{\link[Rsamtools]{ScanBamParam}} instance to further influence scanning, counting, or filtering. } } } } \details{ \describe{ \item{}{\code{summarizeOverlaps} offers counting modes to resolve reads that overlap multiple features. The \code{mode} argument defines a set of rules to resolve the read to a single feature such that each read is counted a maximum of once. New to GenomicRanges >= 1.13.9 is the \code{inter.feature} argument which allows reads to be counted for each feature they overlap. When \code{inter.feature=TRUE} the counting modes are aware of feature overlap and reads overlapping multiple features are dropped and not counted. When \code{inter.feature=FALSE} multiple feature overlap is ignored and reads are counted once for each feature they map to. This essentially reduces modes \sQuote{Union} and \sQuote{IntersectionStrict} to \code{countOverlaps} with \code{type="any"}, and \code{type="within"}, respectively. \sQuote{IntersectionNotEmpty} is not reduced to a derivative of \code{countOverlaps} because the shared regions are removed before counting. } \item{features :}{ A \sQuote{feature} can be any portion of a genomic region such as a gene, transcript, exon etc. When the \code{features} argument is a \linkS4class{GRanges} the rows define the features. The result will be the same length as the \linkS4class{GRanges}. When \code{features} is a \linkS4class{GRangesList} the highest list-level defines the features and the result will be the same length as the \linkS4class{GRangesList}. When \code{inter.feature=TRUE}, each count \code{mode} attempts to assign a read that overlaps multiple features to a single feature. If there are ranges that should be considered together (e.g., exons by transcript or cds regions by gene) the \linkS4class{GRangesList} would be appropriate. If there is no grouping in the data then a \linkS4class{GRanges} would be appropriate. } \item{paired-end reads :}{ Paired-end reads are counted the same as single-end reads with gaps; each pair registers as a single hit. Paired-end records can be counted in a \linkS4class{GAlignmentPairs} container or Bam file. When counting Bam files the method has an additional argument, \code{singleEnd}, which should be FALSE for paired-end data. See ?\code{summarizeOverlaps,GRanges,BamFileList-method} for details on additional arguments when counting Bam files. } } } \value{ A \linkS4class{SummarizedExperiment} object. The \code{assays} slot holds the counts, \code{rowData} holds the annotation specified in \code{features}. \code{colData} is a DataFrame with columns of \sQuote{object} (class of \code{reads}) and \sQuote{records} (length of \code{reads}). When \code{reads} is a BamFile or BamFileList the \code{colData} holds the output of a call to \code{countBam} with columns of \sQuote{records} (total records in file), \sQuote{nucleotides} and \sQuote{mapped}. The number in \sQuote{mapped} is the number of records returned when \code{isUnmappedQuery=FALSE} in the \sQuote{ScanBamParam}. } \references{ HTSeq : \url{http://www-huber.embl.de/users/anders/HTSeq/doc/overview.html} htseq-count : \url{http://www-huber.embl.de/users/anders/HTSeq/doc/count.html} } \author{Valerie Obenchain } \seealso{ \itemize{ \item \code{DESeq}, \code{DEXSeq} and \code{edgeR} packages \item \link[Rsamtools]{BamFileList} and \link[Rsamtools]{BamViews} classes \item \link{GAlignments} and \link{GAlignmentPairs} classes \item \link{readGAlignments} and \link{readGAlignmentPairs} } } \examples{ reads <- GAlignments( names = c("a","b","c","d","e","f","g"), seqnames = Rle(c(rep(c("chr1", "chr2"), 3), "chr1")), pos = as.integer(c(1400, 2700, 3400, 7100, 4000, 3100, 5200)), cigar = c("500M", "100M", "300M", "500M", "300M", "50M200N50M", "50M150N50M"), strand = strand(rep("+", 7))) gr <- GRanges( seqnames = c(rep("chr1", 7), rep("chr2", 4)), strand = "+", ranges = IRanges(c(1000, 3000, 3600, 4000, 4000, 5000, 5400, 2000, 3000, 7000, 7500), width = c(500, 500, 300, 500, 900, 500, 500, 900, 500, 600, 300), names=c("A", "B", "C1", "C2", "D1", "D2", "E", "F", "G", "H1", "H2"))) groups <- factor(c(1,2,3,3,4,4,5,6,7,8,8)) grl <- splitAsList(gr, groups) names(grl) <- LETTERS[seq_along(grl)] ## --------------------------------------------------------------------- ## Counting modes. ## --------------------------------------------------------------------- ## First we count with a GRanges as the 'features'. Note that ## 'Union' is the most conservative counting mode followed by ## 'IntersectionStrict' then 'IntersectionNotEmpty'. counts1 <- data.frame(union=assays(summarizeOverlaps(gr, reads))$counts, intStrict=assays(summarizeOverlaps(gr, reads, mode="IntersectionStrict"))$counts, intNotEmpty=assays(summarizeOverlaps(gr, reads, mode="IntersectionNotEmpty"))$counts) colSums(counts1) ## Split the 'features' into a GRangesList and count again. counts2 <- data.frame(union=assays(summarizeOverlaps(grl, reads))$counts, intStrict=assays(summarizeOverlaps(grl, reads, mode="IntersectionStrict"))$counts, intNotEmpty=assays(summarizeOverlaps(grl, reads, mode="IntersectionNotEmpty"))$counts) colSums(counts2) ## The GRangesList ('grl' object) has 8 features whereas the GRanges ## ('gr' object) has 11. The affect on counting can be seen by looking ## at feature 'H' with mode 'Union'. In the GRanges this feature is ## represented by ranges 'H1' and 'H2', gr[c("H1", "H2")] ## and by list element 'H' in the GRangesList, grl["H"] ## Read "d" hits both 'H1' and 'H2'. This is considered a multi-hit when ## using a GRanges (each range is a separate feature) so the read was ## dropped and not counted. counts1[c("H1", "H2"), ] ## When using a GRangesList, each list element is considered a feature. ## The read hits multiple ranges within list element 'H' but only one ## list element. This is not considered a multi-hit so the read is counted. counts2["H", ] ## --------------------------------------------------------------------- ## Counting multi-hit reads. ## --------------------------------------------------------------------- ## The goal of the counting modes is to provide a set of rules that ## resolve reads hitting multiple features so each read is counted ## a maximum of once. However, sometimes it may be desirable to count ## a read for each feature it overlaps. This can be accomplished by ## setting 'inter.feature' to FALSE. ## When 'inter.feature=FALSE', modes 'Union' and 'IntersectionStrict' ## essentially reduce to countOverlaps() with type="any" and ## type="within", respectively. ## When 'inter.feature=TRUE' only features "A", "F" and "G" have counts. se1 <- summarizeOverlaps(gr, reads, mode="Union", inter.feature=TRUE) assays(se1)$counts ## When 'inter.feature=FALSE' all 11 features have a count. There are ## 7 total reads so one or more reads were counted more than once. se2 <- summarizeOverlaps(gr, reads, mode="Union", inter.feature=FALSE) assays(se2)$counts ## --------------------------------------------------------------------- ## Counting Bam files. ## --------------------------------------------------------------------- library(Rsamtools) library(pasillaBamSubset) library("TxDb.Dmelanogaster.UCSC.dm3.ensGene") exbygene <- exonsBy(TxDb.Dmelanogaster.UCSC.dm3.ensGene, "gene") ## (i) Single-end : ## Large files can be iterated over in chunks by setting a ## 'yieldSize' on the BamFile. bf_s <- BamFile(untreated1_chr4(), yieldSize=50000) se_s <- summarizeOverlaps(exbygene, bf_s, singleEnd=TRUE) table(assays(se_s)$counts > 0) ## When a character (file name) is provided as 'reads' instead ## of a BamFile object summarizeOverlaps() will create a BamFile ## and set a reasonable default 'yieldSize'. ## (ii) Paired-end : ## A paired-end file may contain singletons, reads with unmapped ## pairs or reads with more than two fragments. When 'fragments=FALSE' ## only reads paired by the algorithm are included in the counting. nofrag <- summarizeOverlaps(exbygene, untreated3_chr4(), singleEnd=FALSE, fragments=FALSE) table(assays(nofrag)$counts > 0) ## When 'fragments=TRUE' all singletons, reads with unmapped pairs ## and other fragments will be included in the counting. bf <- BamFile(untreated3_chr4()) frag <- summarizeOverlaps(exbygene, bf, singleEnd=FALSE, fragments=TRUE) table(assays(frag)$counts > 0) ## As expected, using 'fragments=TRUE' results in a larger number ## of total counts because singletons, unmapped pairs etc. are ## included in the counting. ## Total reads in the file: countBam(untreated3_chr4()) ## Reads counted with 'fragments=FALSE': sum(assays(nofrag)$counts) ## Reads counted with 'fragments=TRUE': sum(assays(frag)$counts) ## --------------------------------------------------------------------- ## Count tables for DESeq or edgeR. ## --------------------------------------------------------------------- fls <- list.files(system.file("extdata",package="GenomicRanges"), recursive=TRUE, pattern="*bam$", full=TRUE) names(fls) <- basename(fls) bf <- BamFileList(fls, index=character(), yieldSize=1000) genes <- GRanges( seqnames = c(rep("chr2L", 4), rep("chr2R", 5), rep("chr3L", 2)), ranges = IRanges(c(1000, 3000, 4000, 7000, 2000, 3000, 3600, 4000, 7500, 5000, 5400), width=c(rep(500, 3), 600, 900, 500, 300, 900, 300, 500, 500))) se <- summarizeOverlaps(genes, bf) ## When the reads are Bam files, the 'colData' contains summary ## information from a call to countBam(). colData(se) ## Create count tables. library(DESeq) deseq <- newCountDataSet(assays(se)$counts, rownames(colData(se))) library(edgeR) edger <- DGEList(assays(se)$counts, group=rownames(colData(se))) ## --------------------------------------------------------------------- ## User supplied 'mode'. ## --------------------------------------------------------------------- ## A user defined count function must have the same arguments as ## the current counting modes. \dontrun{ counter <- function(x, y, ignore.strand, inter.feature) { ## count ... } se <- summarizeOverlaps(gr, reads, mode=counter) } } \keyword{methods} \keyword{utilities} GenomicRanges/man/tileGenome.Rd0000644000126300012640000002125412232576336020025 0ustar00biocbuildphs_compbio\name{tileGenome} \alias{tileGenome} \title{Put (virtual) tiles on a given genome} \description{ \code{tileGenome} returns a set of genomic regions that form a partitioning of the specified genome. Each region is called a "tile". } \usage{ tileGenome(seqlengths, ntile, tilewidth, cut.last.tile.in.chrom=FALSE) } \arguments{ \item{seqlengths}{ Either a named numeric vector of chromosome lengths or a \link{Seqinfo} object. More precisely, if a named numeric vector, it must have a length >= 1, cannot contain NAs or negative values, and cannot have duplicated names. If a \link{Seqinfo} object, then it's first replaced with the vector of sequence lengths stored in the object (extracted from the object with the \code{\link{seqlengths}} getter), then the restrictions described previously apply to this vector. } \item{ntile}{ The number of tiles to generate. } \item{tilewidth}{ The desired tile width. The effective tile width might be slightly different but is guaranteed to never be more than the desired width. } \item{cut.last.tile.in.chrom}{ Whether or not to cut the last tile in each chromosome. This is set to \code{FALSE} by default. Can be set to \code{TRUE} only when \code{tilewidth} is specified. In that case, a tile will never overlap with more than 1 chromosome and a \link{GRanges} object is returned with one element (i.e. one genomic range) per tile. } } \value{ If \code{cut.last.tile.in.chrom} is \code{FALSE} (the default), a \link{GRangesList} object with one list element per tile, each of them containing a number of genomic ranges equal to the number of chromosomes it overlaps with. Note that when the tiles are small (i.e. much smaller than the chromosomes), most of them only overlap with a single chromosome. If \code{cut.last.tile.in.chrom} is \code{TRUE}, a \link{GRanges} object with one element (i.e. one genomic range) per tile. } \author{ H. Pages, based on a proposal by Martin Morgan } \seealso{ \itemize{ \item \link{GRangesList} and \link{GRanges} objects. \item \link{Seqinfo} objects and the \code{\link{seqlengths}} getter. \item \link[IRanges]{IntegerList} objects. \item \link[IRanges]{Views} objects. \item \link{coverage,GenomicRanges-method} for computing the coverage of a \link{GRanges} object. } } \examples{ ## --------------------------------------------------------------------- ## A. WITH A TOY GENOME ## --------------------------------------------------------------------- seqlengths <- c(chr1=60, chr2=20, chr3=25) ## Create 5 tiles: tiles <- tileGenome(seqlengths, ntile=5) tiles elementLengths(tiles) # tiles 3 and 4 contain 2 ranges width(tiles) ## Use sum() on this IntegerList object to get the effective tile ## widths: sum(width(tiles)) # each tile covers exactly 21 genomic positions ## Create 9 tiles: tiles <- tileGenome(seqlengths, ntile=9) elementLengths(tiles) # tiles 6 and 7 contain 2 ranges table(sum(width(tiles))) # some tiles cover 12 genomic positions, # others 11 ## Specify the tile width: tiles <- tileGenome(seqlengths, tilewidth=20) length(tiles) # 6 tiles table(sum(width(tiles))) # effective tile width is <= specified ## Specify the tile width and cut the last tile in each chromosome: tiles <- tileGenome(seqlengths, tilewidth=24, cut.last.tile.in.chrom=TRUE) tiles width(tiles) # each tile covers exactly 24 genomic positions, except # the last tile in each chromosome ## Partition a genome by chromosome ("natural partitioning"): tiles <- tileGenome(seqlengths, tilewidth=max(seqlengths), cut.last.tile.in.chrom=TRUE) tiles # one tile per chromosome ## sanity check stopifnot(all.equal(setNames(end(tiles), seqnames(tiles)), seqlengths)) ## --------------------------------------------------------------------- ## B. WITH A REAL GENOME ## --------------------------------------------------------------------- library(BSgenome.Scerevisiae.UCSC.sacCer2) tiles <- tileGenome(seqinfo(Scerevisiae), ntile=20) tiles tiles <- tileGenome(seqinfo(Scerevisiae), tilewidth=50000, cut.last.tile.in.chrom=TRUE) tiles ## --------------------------------------------------------------------- ## C. AN APPLICATION: COMPUTE THE BINNED AVERAGE OF A NUMERICAL VARIABLE ## DEFINED ALONG A GENOME ## --------------------------------------------------------------------- ## 1. When the variable is stored in a named RleList object ## -------------------------------------------------------- ## In Bioconductor, a variable defined along a genome is typically ## represented as a named RleList object with one list element per ## chromosome. Let's create such a variable: library(BSgenome.Scerevisiae.UCSC.sacCer2) set.seed(22) my_var1 <- RleList( lapply(seqlengths(Scerevisiae), function(len) Rle(sample(-10:10, len, replace=TRUE))), compress=FALSE) my_var1 ## In some applications, there is sometimes the need to compute the ## average of 'my_var1' for each genomic region in a set of predefined ## fixed-width regions (sometimes called "bins"). Let's use ## tileGenome() to create such a set of bins: bins1 <- tileGenome(seqinfo(Scerevisiae), tilewidth=100, cut.last.tile.in.chrom=TRUE) ## We define the following function to compute the binned average of a ## numerical variable defined along a genome. ## Arguments: ## 'bins': a GRanges object representing the genomic bins. ## Typically obtained by calling tileGenome() with ## 'cut.last.tile.in.chrom=TRUE'. ## 'numvar': a named RleList object representing a numerical ## variable defined along the genome covered by 'bins', which ## is the genome described by 'seqinfo(bins)'. ## 'mcolname': the name to give to the metadata column that will ## contain the binned average in the returned object. ## Returns 'bins' with an additional metadata column named 'mcolname' ## containing the binned average. binnedAverage <- function(bins, numvar, mcolname) { stopifnot(is(bins, "GRanges")) stopifnot(is(numvar, "RleList")) stopifnot(identical(seqlevels(bins), names(numvar))) bins_per_chrom <- split(ranges(bins), seqnames(bins)) means_list <- lapply(names(numvar), function(seqname) { views <- Views(numvar[[seqname]], bins_per_chrom[[seqname]]) viewMeans(views) }) new_mcol <- unsplit(means_list, as.factor(seqnames(bins))) mcols(bins)[[mcolname]] <- new_mcol bins } ## Compute the binned average for 'my_var1': bins1 <- binnedAverage(bins1, my_var1, "binned_var1") bins1 ## 2. When the variable is stored in a metadata column of a disjoint ## GRanges object ## ----------------------------------------------------------------- ## A GRanges object is said to be disjoint if it contains ranges ## that do not overlap with each other. This can be tested with the ## isDisjoint() function. For example, the GRanges object returned ## by tileGenome() is always guaranteed to be disjoint: stopifnot(isDisjoint(bins1)) ## In addition to named RleList objects, the metadata columns of a ## disjoint GRanges object can also be seen as variables defined ## along a genome. An obvious example is the "binned_var1" metadata ## column in 'bins1'. Another example is the "score" metadata column ## in the following GRanges object: x2 <- GRanges("chrI", IRanges(c(1, 211, 291), c(150, 285, 377)), score=c(0.4, 8, -10), seqinfo=seqinfo(Scerevisiae)) x2 ## If we consider the score to be zero in the genomic regions not ## covered by 'x2', then the "score" metadata column represents a ## variable defined along the genome. ## Turning the score variable into a named RleList representation ## can be done by computing the weighted coverage of 'x2': score <- coverage(x2, weight="score") score ## Now we can pass 'score' to binnedAverage() to compute the average ## score per bin: bins1 <- binnedAverage(bins1, score, "binned_score") bins1 ## With bigger bins: bins2 <- tileGenome(seqinfo(x2), tilewidth=50000, cut.last.tile.in.chrom=TRUE) bins2 <- binnedAverage(bins2, score, "binned_score") bins2 ## Note that the binned variables in 'bins1' and 'bins2' can be ## turned back into named RleList objects: binned_var1 <- coverage(bins1, weight="binned_var1") stopifnot(all.equal(mean(binned_var1), mean(my_var1))) binned_score <- coverage(bins2, weight="binned_score") stopifnot(all.equal(mean(binned_score), mean(score))) ## Not surprisingly, the "binned" variables are much more compact in ## memory than the original variables (they contain much less runs): object.size(binned_var1) object.size(my_var1) } \keyword{manip} GenomicRanges/src/0000755000126300012640000000000012233632026015444 5ustar00biocbuildphs_compbioGenomicRanges/src/GenomicRanges.h0000644000126300012640000000230112233632026020332 0ustar00biocbuildphs_compbio#include /* cigar_utils.c */ SEXP valid_cigar(SEXP cigar, SEXP ans_type); SEXP explode_cigar_ops( SEXP cigar, SEXP ops ); SEXP explode_cigar_op_lengths( SEXP cigar, SEXP ops ); SEXP split_cigar(SEXP cigar); SEXP cigar_op_table(SEXP cigar); SEXP cigar_ranges( SEXP cigar, SEXP flag, SEXP space, SEXP pos, SEXP f, SEXP ops, SEXP drop_empty_ranges, SEXP reduce_ranges, SEXP with_ops ); SEXP cigar_width( SEXP cigar, SEXP flag, SEXP space ); SEXP cigar_narrow(SEXP cigar, SEXP left_width, SEXP right_width); SEXP cigar_qnarrow(SEXP cigar, SEXP left_qwidth, SEXP right_qwidth); SEXP ref_locs_to_query_locs( SEXP ref_locs, SEXP cigar, SEXP pos, SEXP narrow_left ); SEXP query_locs_to_ref_locs( SEXP query_locs, SEXP cigar, SEXP pos, SEXP narrow_left ); /* transcript_utils.c */ SEXP transcript_widths( SEXP exonStarts, SEXP exonEnds ); SEXP tlocs2rlocs( SEXP tlocs, SEXP exonStarts, SEXP exonEnds, SEXP strand, SEXP decreasing_rank_on_minus_strand ); SEXP extract_transcripts( SEXP classname, SEXP x, SEXP exonStarts, SEXP exonEnds, SEXP strand, SEXP decreasing_rank_on_minus_strand, SEXP lkup ); GenomicRanges/src/IRanges_stubs.c0000644000126300012640000000003412233632026020355 0ustar00biocbuildphs_compbio#include "_IRanges_stubs.c" GenomicRanges/src/R_init_GenomicRanges.c0000644000126300012640000000155712233632026021645 0ustar00biocbuildphs_compbio#include "GenomicRanges.h" #include #define CALLMETHOD_DEF(fun, numArgs) {#fun, (DL_FUNC) &fun, numArgs} static const R_CallMethodDef callMethods[] = { /* cigar_utils.c */ CALLMETHOD_DEF(valid_cigar, 2), CALLMETHOD_DEF(explode_cigar_ops, 2), CALLMETHOD_DEF(explode_cigar_op_lengths, 2), CALLMETHOD_DEF(split_cigar, 1), CALLMETHOD_DEF(cigar_op_table, 1), CALLMETHOD_DEF(cigar_ranges, 9), CALLMETHOD_DEF(cigar_width, 3), CALLMETHOD_DEF(cigar_narrow, 3), CALLMETHOD_DEF(cigar_qnarrow, 3), CALLMETHOD_DEF(ref_locs_to_query_locs, 4), CALLMETHOD_DEF(query_locs_to_ref_locs, 4), /* transcript_utils.c */ CALLMETHOD_DEF(transcript_widths, 2), CALLMETHOD_DEF(tlocs2rlocs, 5), CALLMETHOD_DEF(extract_transcripts, 7), {NULL, NULL, 0} }; void R_init_GenomicRanges(DllInfo *info) { R_registerRoutines(info, NULL, callMethods, NULL, NULL); return; } GenomicRanges/src/XVector_stubs.c0000644000126300012640000000003412233632026020417 0ustar00biocbuildphs_compbio#include "_XVector_stubs.c" GenomicRanges/src/cigar_utils.c0000644000126300012640000011075012233632026020121 0ustar00biocbuildphs_compbio#include "GenomicRanges.h" #include "IRanges_interface.h" #include /* for isdigit() */ /* The 8 supported spaces. */ #define REFERENCE 1 #define REFERENCE_N_REGIONS_REMOVED 2 #define QUERY 3 #define QUERY_BEFORE_HARD_CLIPPING 4 #define QUERY_AFTER_SOFT_CLIPPING 5 #define PAIRWISE 6 #define PAIRWISE_N_REGIONS_REMOVED 7 #define PAIRWISE_DENSE 8 static char errmsg_buf[200]; /* Return the number of chars that was read, or 0 if there is no more char to read (i.e. cigar_string[offset] is '\0'), or -1 in case of a parse error. Zero-length operations are ignored. */ static int next_cigar_OP(const char *cigar_string, int offset, char *OP, int *OPL) { char c; int offset0, opl; if (!cigar_string[offset]) return 0; offset0 = offset; do { /* Extract *OPL */ opl = 0; while (isdigit(c = cigar_string[offset])) { offset++; opl *= 10; opl += c - '0'; } /* Extract *OP */ if (!(*OP = cigar_string[offset])) { snprintf(errmsg_buf, sizeof(errmsg_buf), "unexpected CIGAR end after char %d", offset); return -1; } offset++; } while (opl == 0); *OPL = opl; return offset - offset0; } /* Return the number of chars that was read, or 0 if there is no more char to read (i.e. offset is 0), or -1 in case of a parse error. Zero-length operations are ignored. */ static int prev_cigar_OP(const char *cigar_string, int offset, char *OP, int *OPL) { char c; int offset0, opl, powof10; if (offset == 0) return 0; offset0 = offset; do { /* Extract *OP */ offset--; *OP = cigar_string[offset]; /* Extract *OPL */ if (offset == 0) { snprintf(errmsg_buf, sizeof(errmsg_buf), "no CIGAR operation length before char %d", offset + 1); return -1; } offset--; opl = 0; powof10 = 1; while (offset >= 0 && isdigit(c = cigar_string[offset])) { opl += (c - '0') * powof10; powof10 *= 10; offset--; } offset++; } while (opl == 0); *OPL = opl; return offset0 - offset; } static int ops_lkup_table[256]; static void init_ops_lkup_table(SEXP ops) { int ops_len, i; SEXP ops_elt; char OP; if (ops == R_NilValue) { for (i = 0; i < 256; i++) ops_lkup_table[i] = 1; return; } for (i = 0; i < 256; i++) ops_lkup_table[i] = 0; ops_len = LENGTH(ops); for (i = 0; i < ops_len; i++) { ops_elt = STRING_ELT(ops, i); if (ops_elt == NA_STRING || LENGTH(ops_elt) == 0) error("'ops' contains NAs and/or empty strings"); OP = CHAR(ops_elt)[0]; ops_lkup_table[(unsigned char) OP] = 1; } return; } static int is_in_ops(char OP) { return ops_lkup_table[(unsigned char) OP]; } static int is_visible_in_space(char OP, int space) { if (OP == 'M') return 1; switch (space) { case QUERY_BEFORE_HARD_CLIPPING: if (OP == 'H') return 1; /* fall through */ case QUERY: if (OP == 'S') return 1; /* fall through */ case QUERY_AFTER_SOFT_CLIPPING: if (OP == 'I') return 1; break; case PAIRWISE: if (OP == 'I') return 1; /* fall through */ case REFERENCE: if (OP == 'D' || OP == 'N') return 1; break; case PAIRWISE_N_REGIONS_REMOVED: if (OP == 'I') return 1; /* fall through */ case REFERENCE_N_REGIONS_REMOVED: if (OP == 'D') return 1; } if (OP == '=' || OP == 'X') return 1; return 0; } static void drop_or_append_or_merge_range(int start, int width, int drop_empty_range, int merge_range, int nelt0, RangeAE *range_buf, const char *OP, CharAEAE *OP_buf) { int buf_nelt, buf_nelt_minus_1, prev_end_plus_1; CharAE OP_buf_new_elt, *OP_buf_prev_elt; if (drop_empty_range && width == 0) /* Drop. */ return; buf_nelt = RangeAE_get_nelt(range_buf); if (merge_range && buf_nelt > nelt0) { /* The incoming range should never overlap with the previous incoming range i.e. 'start' should always be > the end of the previous incoming range. */ buf_nelt_minus_1 = buf_nelt - 1; prev_end_plus_1 = range_buf->start.elts[buf_nelt_minus_1] + range_buf->width.elts[buf_nelt_minus_1]; if (start == prev_end_plus_1) { /* Merge. */ range_buf->width.elts[buf_nelt_minus_1] += width; if (OP_buf != NULL) { OP_buf_prev_elt = OP_buf->elts + buf_nelt_minus_1; CharAE_insert_at(OP_buf_prev_elt, CharAE_get_nelt(OP_buf_prev_elt), *OP); } return; } } /* Append. */ RangeAE_insert_at(range_buf, buf_nelt, start, width); if (OP_buf != NULL) { OP_buf_new_elt = new_CharAE(1); CharAE_insert_at(&OP_buf_new_elt, 0, *OP); CharAEAE_insert_at(OP_buf, buf_nelt, &OP_buf_new_elt); } return; } /* Make sure init_ops_lkup_table() is called before parse_cigar_ranges(). */ static const char *parse_cigar_ranges(const char *cigar_string, int space, int pos, int drop_empty_ranges, int reduce_ranges, RangeAE *range_buf, CharAEAE *OP_buf) { int buf_nelt0, cigar_offset, n, OPL /* Operation Length */, start, width; char OP /* Operation */; buf_nelt0 = RangeAE_get_nelt(range_buf); cigar_offset = 0; start = pos; while ((n = next_cigar_OP(cigar_string, cigar_offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; width = is_visible_in_space(OP, space) ? OPL : 0; if (is_in_ops(OP)) drop_or_append_or_merge_range(start, width, drop_empty_ranges, reduce_ranges, buf_nelt0, range_buf, &OP, OP_buf); start += width; cigar_offset += n; } return NULL; } static const char *parse_cigar_width(const char *cigar_string, int space, int *width) { int cigar_offset, n, OPL /* Operation Length */; char OP /* Operation */; *width = cigar_offset = 0; while ((n = next_cigar_OP(cigar_string, cigar_offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; if (is_visible_in_space(OP, space)) *width += OPL; cigar_offset += n; } return NULL; } /**************************************************************************** * --- .Call ENTRY POINT --- * Args: * cigar: character vector containing the extended CIGAR string for each * read; * ans_type: a single integer specifying the type of answer to return: * 0: 'ans' is a string describing the first validity failure or NULL; * 1: 'ans' is logical vector with TRUE values for valid elements * in 'cigar'. */ SEXP valid_cigar(SEXP cigar, SEXP ans_type) { SEXP ans, cigar_elt; int cigar_len, ans_type0, i, width; const char *cigar_string, *errmsg; char string_buf[200]; cigar_len = LENGTH(cigar); ans_type0 = INTEGER(ans_type)[0]; if (ans_type0 == 1) PROTECT(ans = NEW_LOGICAL(cigar_len)); else ans = R_NilValue; for (i = 0; i < cigar_len; i++) { cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { if (ans_type0 == 1) LOGICAL(ans)[i] = 1; continue; } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { if (ans_type0 == 1) LOGICAL(ans)[i] = 1; continue; } /* We use parse_cigar_width() here just for its ability to parse and detect ill-formed CIGAR strings */ errmsg = parse_cigar_width(cigar_string, 0L, &width); if (ans_type0 == 1) { LOGICAL(ans)[i] = errmsg == NULL; continue; } if (errmsg != NULL) { snprintf(string_buf, sizeof(string_buf), "element %d is invalid (%s)", i + 1, errmsg); return mkString(string_buf); } } if (ans_type0 == 1) UNPROTECT(1); return ans; } /**************************************************************************** * explode_cigar_ops() and explode_cigar_op_lengths() */ /* Make sure init_ops_lkup_table() is called before split_cigar_string(). */ static const char *split_cigar_string(const char *cigar_string, CharAE *OPbuf, IntAE *OPLbuf) { int offset, n, OPL /* Operation Length */; char OP /* Operation */; offset = 0; while ((n = next_cigar_OP(cigar_string, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; if (is_in_ops(OP)) { if (OPbuf != NULL) CharAE_insert_at(OPbuf, CharAE_get_nelt(OPbuf), OP); if (OPLbuf != NULL) IntAE_insert_at(OPLbuf, IntAE_get_nelt(OPLbuf), OPL); } offset += n; } return NULL; } /* --- .Call ENTRY POINTS --- * - explode_cigar_ops() * - explode_cigar_op_lengths() * Args: * cigar: character vector containing the extended CIGAR strings to * explode. * ops: NULL or a character vector containing the CIGAR operations to * actually consider. If NULL, then all CIGAR operations are * considered. * Both functions return a list of the same length as 'cigar' where each * list element is a character vector (for explode_cigar_ops()) or an integer * vector (for explode_cigar_op_lengths()). The 2 lists have the same shape, * that is, same length() and same elementLengths(). The i-th character vector * in the list returned by explode_cigar_ops() contains one single-letter * string per CIGAR operation in 'cigar[i]'. The i-th integer vector in the * list returned by explode_cigar_op_lengths() contains the corresponding * CIGAR operation lengths. Zero-length operations or operations not listed * in 'ops' are ignored. */ SEXP explode_cigar_ops(SEXP cigar, SEXP ops) { SEXP ans, cigar_elt, ans_elt, ans_elt_elt; int cigar_len, ans_elt_len, i, j; CharAE OPbuf; const char *cigar_string, *errmsg; cigar_len = LENGTH(cigar); init_ops_lkup_table(ops); PROTECT(ans = NEW_LIST(cigar_len)); OPbuf = new_CharAE(0); for (i = 0; i < cigar_len; i++) { cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { UNPROTECT(1); error("'cigar[%d]' is NA", i + 1); } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { UNPROTECT(1); error("'cigar[%d]' is \"*\"", i + 1); } CharAE_set_nelt(&OPbuf, 0); errmsg = split_cigar_string(cigar_string, &OPbuf, NULL); if (errmsg != NULL) { UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } ans_elt_len = CharAE_get_nelt(&OPbuf); PROTECT(ans_elt = NEW_CHARACTER(ans_elt_len)); for (j = 0; j < ans_elt_len; j++) { PROTECT(ans_elt_elt = mkCharLen(OPbuf.elts + j, 1)); SET_STRING_ELT(ans_elt, j, ans_elt_elt); UNPROTECT(1); } SET_VECTOR_ELT(ans, i, ans_elt); UNPROTECT(1); } UNPROTECT(1); return ans; } SEXP explode_cigar_op_lengths(SEXP cigar, SEXP ops) { SEXP ans, cigar_elt, ans_elt; int cigar_len, i; IntAE OPLbuf; const char *cigar_string, *errmsg; cigar_len = LENGTH(cigar); init_ops_lkup_table(ops); PROTECT(ans = NEW_LIST(cigar_len)); OPLbuf = new_IntAE(0, 0, 0); for (i = 0; i < cigar_len; i++) { cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { UNPROTECT(1); error("'cigar[%d]' is NA", i + 1); } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { UNPROTECT(1); error("'cigar[%d]' is \"*\"", i + 1); } IntAE_set_nelt(&OPLbuf, 0); errmsg = split_cigar_string(cigar_string, NULL, &OPLbuf); if (errmsg != NULL) { UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } PROTECT(ans_elt = new_INTEGER_from_IntAE(&OPLbuf)); SET_VECTOR_ELT(ans, i, ans_elt); UNPROTECT(1); } UNPROTECT(1); return ans; } /**************************************************************************** * --- .Call ENTRY POINT --- * * TODO: Used by splitCigar() which is now deprecated. Remove this .Call * ENTRY POINT once splitCigar() is defunct. */ SEXP split_cigar(SEXP cigar) { SEXP ans, cigar_elt, ans_elt, ans_elt_elt0, ans_elt_elt1; int cigar_len, i; CharAE OPbuf; IntAE OPLbuf; const char *cigar_string, *errmsg; cigar_len = LENGTH(cigar); init_ops_lkup_table(R_NilValue); PROTECT(ans = NEW_LIST(cigar_len)); OPbuf = new_CharAE(0); OPLbuf = new_IntAE(0, 0, 0); for (i = 0; i < cigar_len; i++) { cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { UNPROTECT(1); error("'cigar[%d]' is NA", i + 1); } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { UNPROTECT(1); error("'cigar[%d]' is \"*\"", i + 1); } CharAE_set_nelt(&OPbuf, 0); IntAE_set_nelt(&OPLbuf, 0); errmsg = split_cigar_string(cigar_string, &OPbuf, &OPLbuf); if (errmsg != NULL) { UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } PROTECT(ans_elt = NEW_LIST(2)); PROTECT(ans_elt_elt0 = new_RAW_from_CharAE(&OPbuf)); PROTECT(ans_elt_elt1 = new_INTEGER_from_IntAE(&OPLbuf)); SET_VECTOR_ELT(ans_elt, 0, ans_elt_elt0); SET_VECTOR_ELT(ans_elt, 1, ans_elt_elt1); SET_VECTOR_ELT(ans, i, ans_elt); UNPROTECT(3); } UNPROTECT(1); return ans; } /**************************************************************************** * cigar_op_table() */ static const char *cigar_string_op_table(SEXP cigar_string, const char *allOPs, int *table_row, int table_nrow) { const char *cig0, *tmp; int offset, n, OPL /* Operation Length */; char OP /* Operation */; if (cigar_string == NA_STRING) return "CIGAR string is NA"; if (LENGTH(cigar_string) == 0) return "CIGAR string is empty"; cig0 = CHAR(cigar_string); offset = 0; while ((n = next_cigar_OP(cig0, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; tmp = strchr(allOPs, (int) OP); if (tmp == NULL) { snprintf(errmsg_buf, sizeof(errmsg_buf), "unknown CIGAR operation '%c' at char %d", OP, offset + 1); return errmsg_buf; } *(table_row + (tmp - allOPs) * table_nrow) += OPL; offset += n; } return NULL; } /* --- .Call ENTRY POINT --- * Args: * cigar: character vector containing the extended CIGAR string for each * read; * Return an integer matrix with the number of rows equal to the length of * 'cigar' and 9 columns, one for each extended CIGAR operation containing * a frequency count for the operations for each element of 'cigar'. */ SEXP cigar_op_table(SEXP cigar) { SEXP cigar_string, ans, ans_dimnames, ans_colnames; int cigar_len, allOPs_len, i, j, *ans_row; const char *allOPs = "MIDNSHP=X", *errmsg; char OPstrbuf[2]; cigar_len = LENGTH(cigar); allOPs_len = strlen(allOPs); PROTECT(ans = allocMatrix(INTSXP, cigar_len, allOPs_len)); memset(INTEGER(ans), 0, LENGTH(ans) * sizeof(int)); ans_row = INTEGER(ans); for (i = 0, ans_row = INTEGER(ans); i < cigar_len; i++, ans_row++) { cigar_string = STRING_ELT(cigar, i); if (cigar_string == NA_STRING) { INTEGER(ans)[i] = NA_INTEGER; continue; } errmsg = cigar_string_op_table(cigar_string, allOPs, ans_row, cigar_len); if (errmsg != NULL) { UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } } PROTECT(ans_colnames = NEW_CHARACTER(allOPs_len)); OPstrbuf[1] = '\0'; for (j = 0; j < allOPs_len; j++) { OPstrbuf[0] = allOPs[j]; SET_STRING_ELT(ans_colnames, j, mkChar(OPstrbuf)); } PROTECT(ans_dimnames = NEW_LIST(2)); SET_ELEMENT(ans_dimnames, 0, R_NilValue); SET_ELEMENT(ans_dimnames, 1, ans_colnames); SET_DIMNAMES(ans, ans_dimnames); UNPROTECT(3); return ans; } /**************************************************************************** * cigar_ranges() */ static SEXP make_list_of_IRanges(const RangeAEAE *range_buf, SEXP names) { SEXP ans, ans_names; PROTECT(ans = new_list_of_IRanges_from_RangeAEAE("IRanges", range_buf)); PROTECT(ans_names = duplicate(names)); SET_NAMES(ans, ans_names); UNPROTECT(2); return ans; } static SEXP make_CompressedIRangesList(const RangeAE *range_buf, const CharAEAE *OP_buf, SEXP breakpoints) { SEXP ans, ans_unlistData, ans_unlistData_names, ans_partitioning; PROTECT(ans_unlistData = new_IRanges_from_RangeAE("IRanges", range_buf)); if (OP_buf != NULL) { PROTECT(ans_unlistData_names = new_CHARACTER_from_CharAEAE(OP_buf)); set_IRanges_names(ans_unlistData, ans_unlistData_names); UNPROTECT(1); } PROTECT(ans_partitioning = new_PartitioningByEnd("PartitioningByEnd", breakpoints, NULL)); PROTECT(ans = new_CompressedList( "CompressedIRangesList", ans_unlistData, ans_partitioning)); UNPROTECT(3); return ans; } /* --- .Call ENTRY POINT --- * Args: * cigar: character vector containing extended CIGAR strings. * flag: NULL or an integer vector of the same length as 'cigar' * containing the SAM flag for each read. Serves only as a way to * indicate whether a read is mapped or not. According to the SAM * Spec v1.4, flag bit 0x4 is the only reliable place to tell * whether a segment (or read) is mapped (bit is 0) or not (bit is 1). * space: single integer indicating one of the 8 supported spaces (defined * at the top of this file). * pos: integer vector of the same length as 'cigar' (or of length 1) * containing the 1-based leftmost position/coordinate of the * clipped read sequences. * f: NULL or a factor of length 'cigar'. If NULL, then the ranges are * grouped by alignment and stored in a CompressedIRangesList object * with 1 list element per element in 'cigar'. If a factor, then they * are grouped by factor level and stored in an ordinary list of * IRanges objects with 1 list element per level in 'f' and named * with those levels. * ops: NULL or a character vector containing the CIGAR operations to * translate to ranges. If NULL, then all CIGAR operations are * translated. * drop_empty_ranges: TRUE or FALSE. * reduce_ranges: TRUE or FALSE. * with_ops: TRUE or FALSE indicating whether the returned ranges should be * named with their corresponding CIGAR operation. * * Returns either a CompressedIRangesList object of the same length as 'cigar' * (if 'f' is NULL) or an ordinary list of IRanges objects with 1 list element * per level in 'f' (if 'f' is a factor). This list is then turned into a * SimpleIRangesList object in R. */ SEXP cigar_ranges(SEXP cigar, SEXP flag, SEXP space, SEXP pos, SEXP f, SEXP ops, SEXP drop_empty_ranges, SEXP reduce_ranges, SEXP with_ops) { SEXP ans, ans_breakpoints, f_levels, cigar_elt; int cigar_len, space0, pos_len, f_is_NULL, ans_len, *breakpoint, drop_empty_ranges0, reduce_ranges0, with_ops0, i; RangeAE range_buf1, *range_buf_p; RangeAEAE range_buf2; CharAEAE OP_buf, *OP_buf_p; const int *flag_elt, *pos_elt, *f_elt; const char *cigar_string, *errmsg; cigar_len = LENGTH(cigar); if (flag != R_NilValue) flag_elt = INTEGER(flag); init_ops_lkup_table(ops); space0 = INTEGER(space)[0]; pos_len = LENGTH(pos); pos_elt = INTEGER(pos); f_is_NULL = f == R_NilValue; if (f_is_NULL) { ans_len = cigar_len; /* We will typically generate at least 'cigar_len' ranges. */ range_buf1 = new_RangeAE(ans_len, 0); range_buf_p = &range_buf1; PROTECT(ans_breakpoints = NEW_INTEGER(ans_len)); breakpoint = INTEGER(ans_breakpoints); } else { f_levels = GET_LEVELS(f); ans_len = LENGTH(f_levels); range_buf2 = new_RangeAEAE(ans_len, ans_len); f_elt = INTEGER(f); } drop_empty_ranges0 = LOGICAL(drop_empty_ranges)[0]; reduce_ranges0 = LOGICAL(reduce_ranges)[0]; with_ops0 = LOGICAL(with_ops)[0]; if (with_ops0 && f_is_NULL) { OP_buf = new_CharAEAE(cigar_len, 0); OP_buf_p = &OP_buf; } else { OP_buf_p = NULL; } for (i = 0; i < cigar_len; i++) { if (flag != R_NilValue) { if (*flag_elt == NA_INTEGER) { if (f_is_NULL) UNPROTECT(1); error("'flag' contains NAs"); } if (*flag_elt & 0x004) { /* The CIGAR of an unmapped read doesn't produce any range i.e. it's treated as an empty CIGAR. */ goto for_tail; } } cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { if (f_is_NULL) UNPROTECT(1); error("'cigar[%d]' is NA", i + 1); } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { if (f_is_NULL) UNPROTECT(1); error("'cigar[%d]' is \"*\"", i + 1); } if (*pos_elt == NA_INTEGER || *pos_elt == 0) { if (f_is_NULL) UNPROTECT(1); error("'pos[%d]' is NA or 0", i + 1); } if (!f_is_NULL) { if (*f_elt == NA_INTEGER) error("'f[%d]' is NA", i + 1); range_buf_p = range_buf2.elts + *f_elt - 1; } errmsg = parse_cigar_ranges(cigar_string, space0, *pos_elt, drop_empty_ranges0, reduce_ranges0, range_buf_p, OP_buf_p); if (errmsg != NULL) { if (f_is_NULL) UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } for_tail: if (flag != R_NilValue) flag_elt++; if (pos_len != 1) pos_elt++; if (f_is_NULL) *(breakpoint++) = RangeAE_get_nelt(range_buf_p); else f_elt++; } if (!f_is_NULL) return make_list_of_IRanges(&range_buf2, f_levels); PROTECT(ans = make_CompressedIRangesList(range_buf_p, OP_buf_p, ans_breakpoints)); UNPROTECT(2); return ans; } /**************************************************************************** * --- .Call ENTRY POINT --- * Args: * cigar, flag, space: see cigar_ranges() function above. * Return an integer vector of the same length as 'cigar' containing the * widths of the alignments as inferred from the cigar information. */ SEXP cigar_width(SEXP cigar, SEXP flag, SEXP space) { SEXP ans, cigar_elt; int cigar_len, space0, i, *ans_elt; const int *flag_elt; const char *cigar_string, *errmsg; cigar_len = LENGTH(cigar); if (flag != R_NilValue) flag_elt = INTEGER(flag); space0 = INTEGER(space)[0]; PROTECT(ans = NEW_INTEGER(cigar_len)); for (i = 0, ans_elt = INTEGER(ans); i < cigar_len; i++, ans_elt++) { if (flag != R_NilValue) { if (*flag_elt == NA_INTEGER) { UNPROTECT(1); error("'flag' contains NAs"); } if (*flag_elt & 0x004) { *ans_elt = NA_INTEGER; goto for_tail; } } cigar_elt = STRING_ELT(cigar, i); if (cigar_elt == NA_STRING) { *ans_elt = NA_INTEGER; goto for_tail; } cigar_string = CHAR(cigar_elt); if (strcmp(cigar_string, "*") == 0) { *ans_elt = NA_INTEGER; goto for_tail; } errmsg = parse_cigar_width(cigar_string, space0, ans_elt); if (errmsg != NULL) { UNPROTECT(1); error("in 'cigar[%d]': %s", i + 1, errmsg); } for_tail: if (flag != R_NilValue) flag_elt++; } UNPROTECT(1); return ans; } /**************************************************************************** * cigar_narrow() */ static const char *Lnarrow_cigar_string(SEXP cigar_string, int *Lwidth, int *Loffset, int *rshift) { const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; if (cigar_string == NA_STRING) return "CIGAR string is NA"; if (LENGTH(cigar_string) == 0) return "CIGAR string is empty"; cig0 = CHAR(cigar_string); *rshift = offset = 0; while ((n = next_cigar_OP(cig0, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; switch (OP) { /* Alignment match (can be a sequence match or mismatch) */ case 'M': case '=': case 'X': if (*Lwidth < OPL) { *Loffset = offset; *rshift += *Lwidth; return NULL; } *Lwidth -= OPL; *rshift += OPL; break; /* Insertion to the reference or soft/hard clip on the read */ case 'I': case 'S': case 'H': break; /* Deletion (or skipped region) from the reference */ case 'D': case 'N': if (*Lwidth < OPL) *Lwidth = 0; else *Lwidth -= OPL; *rshift += OPL; break; /* Silent deletion from the padded reference */ case 'P': break; default: snprintf(errmsg_buf, sizeof(errmsg_buf), "unknown CIGAR operation '%c' at char %d", OP, offset + 1); return errmsg_buf; } offset += n; } snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after narrowing"); return errmsg_buf; } static const char *Rnarrow_cigar_string(SEXP cigar_string, int *Rwidth, int *Roffset) { const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; if (cigar_string == NA_STRING) return "CIGAR string is NA"; if (LENGTH(cigar_string) == 0) return "CIGAR string is empty"; cig0 = CHAR(cigar_string); offset = LENGTH(cigar_string); while ((n = prev_cigar_OP(cig0, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; offset -= n; switch (OP) { /* Alignment match (can be a sequence match or mismatch) */ case 'M': case '=': case 'X': if (*Rwidth < OPL) { *Roffset = offset; return NULL; } *Rwidth -= OPL; break; /* Insertion to the reference or soft/hard clip on the read */ case 'I': case 'S': case 'H': break; /* Deletion (or skipped region) from the reference */ case 'D': case 'N': if (*Rwidth < OPL) *Rwidth = 0; else *Rwidth -= OPL; break; /* Silent deletion from the padded reference */ case 'P': break; default: snprintf(errmsg_buf, sizeof(errmsg_buf), "unknown CIGAR operation '%c' at char %d", OP, offset + 1); return errmsg_buf; } } snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after narrowing"); return errmsg_buf; } /* FIXME: 'cigar_buf' is under the risk of a buffer overflow! */ static const char *narrow_cigar_string(SEXP cigar_string, int Lwidth, int Rwidth, char *cigar_buf, int *rshift) { int Loffset, Roffset, buf_offset; const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; const char *errmsg; //Rprintf("narrow_cigar_string():\n"); errmsg = Lnarrow_cigar_string(cigar_string, &Lwidth, &Loffset, rshift); if (errmsg != NULL) return errmsg; //Rprintf(" Lwidth=%d Loffset=%d *rshift=%d\n", // Lwidth, Loffset, *rshift); errmsg = Rnarrow_cigar_string(cigar_string, &Rwidth, &Roffset); if (errmsg != NULL) return errmsg; //Rprintf(" Rwidth=%d Roffset=%d\n", Rwidth, Roffset); if (Roffset < Loffset) { snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after narrowing"); return errmsg_buf; } buf_offset = 0; cig0 = CHAR(cigar_string); for (offset = Loffset; offset <= Roffset; offset += n) { n = next_cigar_OP(cig0, offset, &OP, &OPL); if (offset == Loffset) OPL -= Lwidth; if (offset == Roffset) OPL -= Rwidth; if (OPL <= 0) { snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after narrowing"); return errmsg_buf; } buf_offset += sprintf(cigar_buf + buf_offset, "%d%c", OPL, OP); } return NULL; } /* --- .Call ENTRY POINT --- */ SEXP cigar_narrow(SEXP cigar, SEXP left_width, SEXP right_width) { SEXP ans, ans_cigar, ans_cigar_string, ans_rshift, cigar_string; int cigar_len, i; static char cigar_buf[1024]; const char *errmsg; cigar_len = LENGTH(cigar); PROTECT(ans_cigar = NEW_CHARACTER(cigar_len)); PROTECT(ans_rshift = NEW_INTEGER(cigar_len)); for (i = 0; i < cigar_len; i++) { cigar_string = STRING_ELT(cigar, i); if (cigar_string == NA_STRING) { SET_STRING_ELT(ans_cigar, i, NA_STRING); INTEGER(ans_rshift)[i] = NA_INTEGER; continue; } errmsg = narrow_cigar_string(cigar_string, INTEGER(left_width)[i], INTEGER(right_width)[i], cigar_buf, INTEGER(ans_rshift) + i); if (errmsg != NULL) { UNPROTECT(2); error("in 'cigar[%d]': %s", i + 1, errmsg); } PROTECT(ans_cigar_string = mkChar(cigar_buf)); SET_STRING_ELT(ans_cigar, i, ans_cigar_string); UNPROTECT(1); } PROTECT(ans = NEW_LIST(2)); SET_VECTOR_ELT(ans, 0, ans_cigar); SET_VECTOR_ELT(ans, 1, ans_rshift); UNPROTECT(3); return ans; } /**************************************************************************** * cigar_qnarrow() */ static const char *Lqnarrow_cigar_string(SEXP cigar_string, int *Lqwidth, int *Loffset, int *rshift) { const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; if (cigar_string == NA_STRING) return "CIGAR string is NA"; if (LENGTH(cigar_string) == 0) return "CIGAR string is empty"; cig0 = CHAR(cigar_string); *rshift = offset = 0; while ((n = next_cigar_OP(cig0, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; switch (OP) { /* Alignment match (can be a sequence match or mismatch) */ case 'M': case '=': case 'X': if (*Lqwidth < OPL) { *Loffset = offset; *rshift += *Lqwidth; return NULL; } *Lqwidth -= OPL; *rshift += OPL; break; /* Insertion to the reference or soft/hard clip on the read */ case 'I': case 'S': case 'H': if (*Lqwidth < OPL) { *Loffset = offset; return NULL; } *Lqwidth -= OPL; break; /* Deletion (or skipped region) from the reference */ case 'D': case 'N': *rshift += OPL; break; /* Silent deletion from the padded reference */ case 'P': break; default: snprintf(errmsg_buf, sizeof(errmsg_buf), "unknown CIGAR operation '%c' at char %d", OP, offset + 1); return errmsg_buf; } offset += n; } snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after qnarrowing"); return errmsg_buf; } static const char *Rqnarrow_cigar_string(SEXP cigar_string, int *Rqwidth, int *Roffset) { const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; if (cigar_string == NA_STRING) return "CIGAR string is NA"; if (LENGTH(cigar_string) == 0) return "CIGAR string is empty"; cig0 = CHAR(cigar_string); offset = LENGTH(cigar_string); while ((n = prev_cigar_OP(cig0, offset, &OP, &OPL))) { if (n == -1) return errmsg_buf; offset -= n; switch (OP) { /* M, =, X, I, S, H */ case 'M': case '=': case 'X': case 'I': case 'S': case 'H': if (*Rqwidth < OPL) { *Roffset = offset; return NULL; } *Rqwidth -= OPL; break; /* Deletion (or skipped region) from the reference, or silent deletion from the padded reference */ case 'D': case 'N': case 'P': break; default: snprintf(errmsg_buf, sizeof(errmsg_buf), "unknown CIGAR operation '%c' at char %d", OP, offset + 1); return errmsg_buf; } } snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after qnarrowing"); return errmsg_buf; } /* FIXME: 'cigar_buf' is under the risk of a buffer overflow! */ static const char *qnarrow_cigar_string(SEXP cigar_string, int Lqwidth, int Rqwidth, char *cigar_buf, int *rshift) { int Loffset, Roffset, buf_offset; const char *cig0; int offset, n, OPL /* Operation Length */; char OP /* Operation */; const char *errmsg; //Rprintf("qnarrow_cigar_string():\n"); errmsg = Lqnarrow_cigar_string(cigar_string, &Lqwidth, &Loffset, rshift); if (errmsg != NULL) return errmsg; //Rprintf(" Lqwidth=%d Loffset=%d *rshift=%d\n", // Lqwidth, Loffset, *rshift); errmsg = Rqnarrow_cigar_string(cigar_string, &Rqwidth, &Roffset); if (errmsg != NULL) return errmsg; //Rprintf(" Rqwidth=%d Roffset=%d\n", Rqwidth, Roffset); if (Roffset < Loffset) { snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after qnarrowing"); return errmsg_buf; } buf_offset = 0; cig0 = CHAR(cigar_string); for (offset = Loffset; offset <= Roffset; offset += n) { n = next_cigar_OP(cig0, offset, &OP, &OPL); if (offset == Loffset) OPL -= Lqwidth; if (offset == Roffset) OPL -= Rqwidth; if (OPL <= 0) { snprintf(errmsg_buf, sizeof(errmsg_buf), "CIGAR is empty after qnarrowing"); return errmsg_buf; } buf_offset += sprintf(cigar_buf + buf_offset, "%d%c", OPL, OP); } return NULL; } /* --- .Call ENTRY POINT --- * Return a list of 2 elements: 1st elt is the narrowed cigar vector, 2nd elt * is the 'rshift' vector i.e. the integer vector of the same length as 'cigar' * that would need to be added to the 'pos' field of a SAM/BAM file as a * consequence of this narrowing. */ SEXP cigar_qnarrow(SEXP cigar, SEXP left_qwidth, SEXP right_qwidth) { SEXP ans, ans_cigar, ans_cigar_string, ans_rshift, cigar_string; int cigar_len, i; static char cigar_buf[1024]; const char *errmsg; cigar_len = LENGTH(cigar); PROTECT(ans_cigar = NEW_CHARACTER(cigar_len)); PROTECT(ans_rshift = NEW_INTEGER(cigar_len)); for (i = 0; i < cigar_len; i++) { cigar_string = STRING_ELT(cigar, i); if (cigar_string == NA_STRING) { SET_STRING_ELT(ans_cigar, i, NA_STRING); INTEGER(ans_rshift)[i] = NA_INTEGER; continue; } errmsg = qnarrow_cigar_string(cigar_string, INTEGER(left_qwidth)[i], INTEGER(right_qwidth)[i], cigar_buf, INTEGER(ans_rshift) + i); if (errmsg != NULL) { UNPROTECT(2); error("in 'cigar[%d]': %s", i + 1, errmsg); } PROTECT(ans_cigar_string = mkChar(cigar_buf)); SET_STRING_ELT(ans_cigar, i, ans_cigar_string); UNPROTECT(1); } PROTECT(ans = NEW_LIST(2)); SET_VECTOR_ELT(ans, 0, ans_cigar); SET_VECTOR_ELT(ans, 1, ans_rshift); UNPROTECT(3); return ans; } /**************************************************************************** * --- .Call ENTRY POINT --- * Args: * ref_locs: global positions in the reference that we will map * cigar: character string containing the extended CIGAR; * pos: reference position at which the query alignment begins * (after clip) * narrow_left: whether to narrow to the left (or right) side of a gap * Returns the local query positions. This assumes that the reference * positions actually occur in the read alignment region, outside of * any deletions or insertions. */ SEXP ref_locs_to_query_locs(SEXP ref_locs, SEXP cigar, SEXP pos, SEXP narrow_left) { int nlocs, i; SEXP query_locs; Rboolean _narrow_left = asLogical(narrow_left); nlocs = LENGTH(ref_locs); PROTECT(query_locs = allocVector(INTSXP, nlocs)); for (i = 0; i < nlocs; i++) { int query_loc = INTEGER(ref_locs)[i] - INTEGER(pos)[i] + 1; int n, offset = 0, OPL, query_consumed = 0; char OP; const char *cig0 = CHAR(STRING_ELT(cigar, i)); while (query_consumed < query_loc && (n = next_cigar_OP(cig0, offset, &OP, &OPL))) { switch (OP) { /* Alignment match (can be a sequence match or mismatch) */ case 'M': case '=': case 'X': query_consumed += OPL; break; /* Insertion to the reference */ case 'I': /* Soft clip on the read */ case 'S': query_loc += OPL; query_consumed += OPL; break; /* Deletion from the reference */ case 'D': case 'N': /* Skipped region from reference; narrow to query */ { Rboolean query_loc_past_gap = query_loc - query_consumed > OPL; if (query_loc_past_gap) { query_loc -= OPL; } else { if (_narrow_left) { query_loc = query_consumed; } else { query_loc = query_consumed + 1; } } } break; /* Hard clip on the read */ case 'H': break; /* Silent deletion from the padded reference */ case 'P': break; default: break; } offset += n; } if (n == 0) error("hit end of cigar string %d: %s", i + 1, cig0); INTEGER(query_locs)[i] = query_loc; } UNPROTECT(1); return query_locs; } /**************************************************************************** * --- .Call ENTRY POINT --- * Args: * query_locs: local positions in the read that we will map * cigar: character string containing the extended CIGAR; * pos: reference position at which the query alignment begins * (after clip) * narrow_left: whether to narrow to the left (or right) side of a gap * Returns the local query positions. This assumes that the reference * positions actually occur in the read alignment region, outside of * any deletions or insertions. */ SEXP query_locs_to_ref_locs(SEXP query_locs, SEXP cigar, SEXP pos, SEXP narrow_left) { int nlocs, i; SEXP ref_locs; Rboolean _narrow_left = asLogical(narrow_left); nlocs = LENGTH(query_locs); PROTECT(ref_locs = allocVector(INTSXP, nlocs)); for (i = 0; i < nlocs; i++) { int query_loc_i = INTEGER(query_locs)[i]; int ref_loc = query_loc_i + INTEGER(pos)[i] - 1; int n, offset = 0, OPL, query_consumed = 0; char OP; const char *cig0 = CHAR(STRING_ELT(cigar, i)); while (query_consumed < query_loc_i && (n = next_cigar_OP(cig0, offset, &OP, &OPL))) { switch (OP) { /* Alignment match (can be a sequence match or mismatch) */ case 'M': case '=': case 'X': query_consumed += OPL; break; /* Insertion to the reference */ case 'I': { /* Soft clip on the read */ int width_from_insertion_start = query_loc_i - query_consumed; Rboolean query_loc_past_insertion = width_from_insertion_start > OPL; if (query_loc_past_insertion) { ref_loc -= OPL; } else { ref_loc -= width_from_insertion_start; if (!_narrow_left) { ref_loc += 1; } } query_consumed += OPL; break; } case 'S': query_consumed += OPL; ref_loc -= OPL; break; /* Deletion from the reference */ case 'D': case 'N': /* Skipped region from reference; narrow to query */ ref_loc += OPL; break; /* Hard clip on the read */ case 'H': break; /* Silent deletion from the padded reference */ case 'P': break; default: break; } offset += n; } if (n == 0) error("hit end of cigar string %d: %s", i + 1, cig0); INTEGER(ref_locs)[i] = ref_loc; } UNPROTECT(1); return ref_locs; } GenomicRanges/src/transcript_utils.c0000644000126300012640000001675112233632026021233 0ustar00biocbuildphs_compbio#include "GenomicRanges.h" #include "IRanges_interface.h" #include "XVector_interface.h" static char errmsg_buf[200]; static int get_nexons(SEXP starts, SEXP ends) { int nstarts, nends; if (starts == R_NilValue) { nstarts = 0; } else if (IS_INTEGER(starts)) { nstarts = LENGTH(starts); } else { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonStarts' has invalid elements"); return -1; } if (ends == R_NilValue) { nends = 0; } else if (IS_INTEGER(ends)) { nends = LENGTH(ends); } else { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonEnds' has invalid elements"); return -1; } if (nstarts != nends) { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonStarts' and 'exonEnds' have different shapes"); return -1; } return nstarts; } static int get_transcript_width(SEXP starts, SEXP ends, int ref_length) { int nexons, transcript_width, j, start, end, width; if ((nexons = get_nexons(starts, ends)) == -1) return -1; transcript_width = 0; for (j = 0; j < nexons; j++) { start = INTEGER(starts)[j]; end = INTEGER(ends)[j]; if (start == NA_INTEGER || end == NA_INTEGER) { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonStarts' and/or 'exonEnds' contain NAs'"); return -1; } if (ref_length != -1) { if (start < 1 || start > ref_length + 1) { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonStarts' contains \"out of limits\" " "values"); return -1; } if (end < 0 || end > ref_length) { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonEnds' contains \"out of limits\" " "values"); return -1; } } width = end - start + 1; if (width < 0) { snprintf(errmsg_buf, sizeof(errmsg_buf), "'exonStarts/exonEnds' define exons " "of negative length"); return -1; } transcript_width += width; } return transcript_width; } static SEXP mk_transcript_widths(SEXP exonStarts, SEXP exonEnds, int ref_length) { int ntranscripts, i, transcript_width; SEXP ans, starts, ends; ntranscripts = LENGTH(exonStarts); PROTECT(ans = NEW_INTEGER(ntranscripts)); for (i = 0; i < ntranscripts; i++) { starts = VECTOR_ELT(exonStarts, i); ends = VECTOR_ELT(exonEnds, i); transcript_width = get_transcript_width(starts, ends, ref_length); if (transcript_width == -1) { UNPROTECT(1); error("%s", errmsg_buf); } INTEGER(ans)[i] = transcript_width; } UNPROTECT(1); return ans; } static int strand_is_minus(SEXP strand, int i) { SEXP strand_elt; strand_elt = STRING_ELT(strand, i); if (strand_elt != NA_STRING && LENGTH(strand_elt) == 1) { switch (CHAR(strand_elt)[0]) { case '+': return 0; case '-': return 1; } } snprintf(errmsg_buf, sizeof(errmsg_buf), "'strand' elements must be \"+\" or \"-\""); return -1; } static int tloc2rloc(int tloc, SEXP starts, SEXP ends, int on_minus_strand, int decreasing_rank_on_minus_strand) { int nexons, j, start, end, width; nexons = LENGTH(starts); if (on_minus_strand && decreasing_rank_on_minus_strand) { for (j = nexons - 1; j >= 0; j--) { start = INTEGER(starts)[j]; end = INTEGER(ends)[j]; width = end - start + 1; if (tloc <= width) break; tloc -= width; } } else { for (j = 0; j < nexons; j++) { start = INTEGER(starts)[j]; end = INTEGER(ends)[j]; width = end - start + 1; if (tloc <= width) break; tloc -= width; } } tloc--; return on_minus_strand ? end - tloc : start + tloc; } static int copy_exon(char * out, const cachedCharSeq *in, int start, int end, int on_minus_strand, SEXP lkup) { int width; start--; end--; width = end - start + 1; if (on_minus_strand) { Orevcopy_bytes_from_i1i2_with_lkup(start, end, out, width, in->seq, in->length, INTEGER(lkup), LENGTH(lkup)); } else { Ocopy_bytes_from_i1i2_with_lkup(start, end, out, width, in->seq, in->length, NULL, 0); } return width; } static void copy_transcript(char * out, const cachedCharSeq *in, SEXP starts, SEXP ends, int on_minus_strand, int decreasing_rank_on_minus_strand, SEXP lkup) { int nexons, j, start, end; nexons = LENGTH(starts); if (on_minus_strand && decreasing_rank_on_minus_strand) { for (j = nexons - 1; j >= 0; j--) { start = INTEGER(starts)[j]; end = INTEGER(ends)[j]; out += copy_exon(out, in, start, end, on_minus_strand, lkup); } } else { for (j = 0; j < nexons; j++) { start = INTEGER(starts)[j]; end = INTEGER(ends)[j]; out += copy_exon(out, in, start, end, on_minus_strand, lkup); } } return; } /**************************************************************************** * --- .Call ENTRY POINTS --- * ****************************************************************************/ SEXP transcript_widths(SEXP exonStarts, SEXP exonEnds) { return mk_transcript_widths(exonStarts, exonEnds, -1); } SEXP tlocs2rlocs(SEXP tlocs, SEXP exonStarts, SEXP exonEnds, SEXP strand, SEXP decreasing_rank_on_minus_strand) { SEXP ans, starts, ends, ans_elt; int decreasing_rank_on_minus_strand0, ans_length, i, transcript_width, on_minus_strand, nlocs, j, tloc; decreasing_rank_on_minus_strand0 = LOGICAL(decreasing_rank_on_minus_strand)[0]; ans_length = LENGTH(tlocs); PROTECT(ans = duplicate(tlocs)); for (i = 0; i < ans_length; i++) { starts = VECTOR_ELT(exonStarts, i); ends = VECTOR_ELT(exonEnds, i); transcript_width = get_transcript_width(starts, ends, -1); if (transcript_width == -1) { UNPROTECT(1); error("%s", errmsg_buf); } on_minus_strand = strand_is_minus(strand, i); if (on_minus_strand == -1) { UNPROTECT(1); error("%s", errmsg_buf); } ans_elt = VECTOR_ELT(ans, i); if (ans_elt == R_NilValue) { nlocs = 0; } else if (IS_INTEGER(ans_elt)) { nlocs = LENGTH(ans_elt); } else { UNPROTECT(1); error("'tlocs' has invalid elements"); } for (j = 0; j < nlocs; j++) { tloc = INTEGER(ans_elt)[j]; if (tloc == NA_INTEGER) continue; if (tloc < 1 || tloc > transcript_width) { UNPROTECT(1); error("'tlocs[[%d]]' contains \"out of limits\" " "transcript locations (length of " "transcript is %d)", j + 1, transcript_width); } INTEGER(ans_elt)[j] = tloc2rloc(tloc, starts, ends, on_minus_strand, decreasing_rank_on_minus_strand0); } } UNPROTECT(1); return ans; } SEXP extract_transcripts(SEXP classname, SEXP x, SEXP exonStarts, SEXP exonEnds, SEXP strand, SEXP decreasing_rank_on_minus_strand, SEXP lkup) { cachedCharSeq X, Y; SEXP ans_width, ans, starts, ends; cachedXVectorList cached_ans; int decreasing_rank_on_minus_strand0, ans_length, i, on_minus_strand; X = cache_XRaw(x); decreasing_rank_on_minus_strand0 = LOGICAL(decreasing_rank_on_minus_strand)[0]; PROTECT(ans_width = mk_transcript_widths(exonStarts, exonEnds, X.length)); PROTECT(ans = alloc_XRawList(CHAR(STRING_ELT(classname, 0)), get_classname(x), ans_width)); cached_ans = cache_XVectorList(ans); ans_length = get_cachedXVectorList_length(&cached_ans); for (i = 0; i < ans_length; i++) { starts = VECTOR_ELT(exonStarts, i); if (starts == R_NilValue || LENGTH(starts) == 0) continue; ends = VECTOR_ELT(exonEnds, i); on_minus_strand = strand_is_minus(strand, i); if (on_minus_strand == -1) { UNPROTECT(2); error("%s", errmsg_buf); } Y = get_cachedXRawList_elt(&cached_ans, i); /* Y.seq is a const char * so we need to cast it to char * before we can write to it */ copy_transcript((char *) Y.seq, &X, starts, ends, on_minus_strand, decreasing_rank_on_minus_strand0, lkup); } UNPROTECT(2); return ans; } GenomicRanges/tests/0000755000126300012640000000000012227070333016017 5ustar00biocbuildphs_compbioGenomicRanges/tests/GenomicRanges_unit_tests.R0000644000126300012640000000014112227070333023140 0ustar00biocbuildphs_compbiorequire("GenomicRanges") || stop("unable to load GenomicRanges package") GenomicRanges:::.test()