GenomicAlignments (version 1.8.4)

findOverlaps-methods: Finding overlapping genomic alignments

Description

Finds range overlaps between a GAlignments, GAlignmentPairs, or GAlignmentsList object, and another range-based object.

NOTE: The findOverlaps generic function and methods for Ranges and RangesList objects are defined and documented in the IRanges package. The methods for GRanges and GRangesList objects are defined and documented in the GenomicRanges package.

GAlignments, GAlignmentPairs, and GAlignmentsList objects also support countOverlaps, overlapsAny, and subsetByOverlaps thanks to the default methods defined in the IRanges package and to the findOverlaps method defined in this package and documented below.

Usage

"findOverlaps"(query, subject, maxgap=0L, minoverlap=1L, type=c("any", "start", "end", "within"), select=c("all", "first", "last", "arbitrary"), ignore.strand=FALSE)

Arguments

query, subject

A GAlignments, GAlignmentPairs, or GAlignmentsList object for either query or subject. A vector-like object containing ranges for the other one.

maxgap, minoverlap, type, select

See findOverlaps in the IRanges package for a description of these arguments.

ignore.strand

When set to TRUE, the strand information is ignored in the overlap calculations.

Value

A Hits object when select="all" or an integer vector otherwise.

Details

When the query or the subject (or both) is a GAlignments object, it is first turned into a GRangesList object (with as( , "GRangesList")) and then the rules described previously apply. GAlignmentsList objects are coerced to GAlignments then to a GRangesList. Feature indices are mapped back to the original GAlignmentsList list elements.

When the query is a GAlignmentPairs object, it is first turned into a GRangesList object (with as( , "GRangesList")) and then the rules described previously apply.

See Also

• findOverlaps.
• Hits-class.
• GRanges-class.
• GRangesList-class.
• GAlignments-class.
• GAlignmentPairs-class.
• GAlignmentsList-class.

Examples

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)