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#' @export
#' @importFrom GenomeInfoDb seqnames
#' @importFrom BiocGenerics start end order
#' @importFrom S4Vectors split
#' @importFrom GenomicRanges GRanges
#' @importFrom IRanges IRanges
#' @importFrom BiocParallel bpmapply bpisup bpstart bpstop SerialParam
checkBimodality <- function(bam.files, regions, width=100, param=readParam(), prior.count=2, invert=FALSE, BPPARAM=SerialParam())
# Gives the maximum strand bimodality score for any base pair in each region.
# The idea is to try to distinguish between genuine TF binding sites and read stacks or other artifacts.
#
# written by Aaron Lun
# created 1 May 2015
{
bam.files <- .make_BamFiles(bam.files)
nbam <- length(bam.files)
ext.data <- .collateExt(nbam, width)
invert <- as.logical(invert)
totals <- integer(nbam)
nx <- length(regions)
out.scores <- rep(NA_real_, nx)
indices <- split(seq_len(nx), seqnames(regions))
prior.count <- as.double(prior.count)
if (!bpisup(BPPARAM)) {
bpstart(BPPARAM)
on.exit(bpstop(BPPARAM))
}
extracted.chrs <- .activeChrs(bam.files, param$restrict)
for (chr in names(extracted.chrs)) {
chosen <- indices[[chr]]
if (length(chosen)==0L) { next }
outlen <- extracted.chrs[[chr]]
where <- GRanges(chr, IRanges(1, outlen))
# Pulling out read data.
collected <- bpmapply(FUN=.check_bimodality, bam.file=bam.files, init.ext=ext.data$ext,
MoreArgs=list(where=where, param=param, final.ext=ext.data$final, outlen=outlen),
BPPARAM=BPPARAM, SIMPLIFY=FALSE)
# Checking region order.
rstarts <- start(regions)[chosen]
rends <- end(regions)[chosen]
ro <- order(rstarts)
# Computing bimodality scores.
out <- .Call(cxx_check_bimodality, collected, rstarts[ro], rends[ro], prior.count, invert)
out.scores[chosen][ro] <- out
}
return(out.scores)
}
.check_bimodality <- function(bam.file, where, param, init.ext, final.ext, outlen)
{
if (param$pe=="both") {
reads <- .extractPE(bam.file, where=where, param=param, with.reads=TRUE)
} else {
reads <- .extractSE(bam.file, where=where, param=param)
}
# Computing what would happen if we extended one way and the other.
Fstandard <- .extendSEdir(reads$forward, ext=init.ext, final=final.ext, chrlen=outlen, forward=TRUE)
Fflipped <- .extendSEdir(reads$forward, ext=init.ext, final=final.ext, chrlen=outlen, forward=FALSE)
Rstandard <- .extendSEdir(reads$reverse, ext=init.ext, final=final.ext, chrlen=outlen, forward=FALSE)
Rflipped <- .extendSEdir(reads$reverse, ext=init.ext, final=final.ext, chrlen=outlen, forward=TRUE)
# Standard extension for originally forward reads goes to (2), flipped extension go to (1) as they'll be at an earlier position.
# Opposite is true for reverse reads; standard extension goes to (1), and flipped extension goes to (2).
earlier <- mapply(c, Fflipped, Rstandard, SIMPLIFY=FALSE)
later <- mapply(c, Fstandard, Rflipped, SIMPLIFY=FALSE)
start1 <- earlier$start
end1 <- earlier$end
start2 <- later$start
end2 <- later$end
original.strand <- rep(c(1L, 0L), c(length(reads$forward$pos), length(reads$reverse$pos)))
# Sorting, as required.
o <- order(start1)
if (any(start1 > start2)) {
stop("extension of flipped alignment should not be before the original alignment")
}
list(start1[o], end1[o], start2[o], end2[o], original.strand[o])
}
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