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# This tests the profileSites command, to ensure that it's actually giving proper advice.
# library(csaw); library(testthat); source("test-profile.R")
# Running the reference analysis.
CHECKFUN <- function(bam, regions, param, ext, range, use.strand=FALSE, match.strand=FALSE) {
chromos <- scanBamHeader(bam)[[1]][[1]]
totally <- totally.reverse <- list()
for (chr in names(chromos)) {
cur.chr <- GRanges(chr, IRanges(1, chromos[[chr]]))
if (!match.strand) {
out <- extractReads(bam, cur.chr, param=param, ext=ext)
totally[[chr]] <- coverage(ranges(out), width=chromos[[chr]])
} else {
if (param$pe!="both") {
out <- extractReads(bam, cur.chr, param=param, ext=ext)
rev.read <- strand(out)=="-"
totally[[chr]] <- coverage(ranges(out)[!rev.read], width=chromos[[chr]])
totally.reverse[[chr]] <- coverage(ranges(out)[rev.read], width=chromos[[chr]])
} else {
out <- extractReads(bam, cur.chr, param=param, ext=ext, as.reads=TRUE)
totally[[chr]] <- coverage(ranges(out$forward), width=chromos[[chr]])
totally.reverse[[chr]] <- coverage(ranges(out$reverse), width=chromos[[chr]])
}
}
}
relevant.start <- start(regions) - range
relevant.end <- start(regions) + range
if (use.strand) {
reverse <- as.logical(strand(regions)=="-")
relevant.start[reverse] <- end(regions[reverse]) + range # Automatic reversal for reverse-stranded regions.
relevant.end[reverse] <- end(regions[reverse]) - range
}
totes.prof <- matrix(0, nrow=length(regions), ncol=range*2+1)
for (x in seq_along(regions)) {
curchr <- as.character(seqnames(regions[x]))
relevant <- relevant.start[x]:relevant.end[x]
valid <- relevant > 0L & relevant <= chromos[[curchr]]
# Using reverse coverage if match.strand is TRUE.
if (match.strand && reverse[x]) {
chosen <- totally.reverse
} else {
chosen <- totally
}
cur.prof <- as.integer(chosen[[curchr]][relevant[valid]])
totes.prof[x,valid] <- cur.prof
}
colnames(totes.prof) <- (-range):range
return(totes.prof)
}
nreads <- 5000
chromos <- c(chrA=10000, chrB=5000)
outfname <- tempfile()
set.seed(120000)
test_that("profileSites works correctly with different read extraction settings", {
for (rparam in list(readParam(), readParam(dedup=TRUE, minq=10))) {
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
bam <- regenSE(nreads, chromos, outfname)
all.profiles <- profileSites(bam, windows, ext=100, range=100, average=FALSE, param=rparam)
ref <- CHECKFUN(bam, windows, ext=100, range=100, param=rparam)
expect_equal(ref, all.profiles)
}
# And also on paired-end data.
rparam <- readParam(pe="both")
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
bam <- regenPE(nreads, chromos, outfname)
all.profiles <- profileSites(bam, windows, ext=100, range=100, average=FALSE, param=rparam)
ref <- CHECKFUN(bam, windows, ext=100, range=100, param=rparam)
expect_equal(ref, all.profiles)
})
set.seed(120001)
test_that("profileSites works correctly with different width and extension", {
rparam <- readParam()
for (range in c(20, 100, 500)) {
for (ext in c(20, 100, 500)) {
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
bam <- regenSE(nreads, chromos, outfname)
all.profiles <- profileSites(bam, windows, ext=ext, range=range, average=FALSE, param=rparam)
ref <- CHECKFUN(bam, windows, ext=ext, range=range, param=rparam)
expect_equal(ref, all.profiles)
}
}
})
set.seed(120002)
test_that("profileSites works correctly with strand-specific extraction", {
rparam <- readParam()
for (range in c(20, 100, 500)) {
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
strand(windows) <- sample(c("+", "-", "*"), length(windows), replace=TRUE)
bam <- regenSE(nreads, chromos, outfname)
all.profiles <- profileSites(bam, windows, ext=100, range=range, average=FALSE, param=reform(rparam, forward=NULL), strand="use")
ref <- CHECKFUN(bam, windows, ext=100, range=range, param=rparam, use.strand=TRUE)
expect_equal(ref, all.profiles)
all.profiles <- profileSites(bam, windows, ext=100, range=range, average=FALSE, param=reform(rparam, forward=NULL), strand="match")
ref <- CHECKFUN(bam, windows, ext=100, range=range, param=rparam, use.strand=TRUE, match.strand=TRUE)
expect_equal(ref, all.profiles)
}
expect_error(profileSites(bam, windows, ext=100, range=100, average=FALSE, param=rparam, strand="match"), "set forward=NULL")
})
set.seed(120003)
test_that("profileSites correctly averages profiles together", {
rparam <- readParam()
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
bam <- regenSE(nreads, chromos, outfname)
all.profiles <- profileSites(bam, windows, ext=100, range=100, average=FALSE, param=rparam)
none <- profileSites(bam, windows, ext=100, range=100, param=rparam)
ref.none <- colMeans(all.profiles)
expect_equal(ref.none, none)
total <- profileSites(bam, windows, ext=100, range=100, param=rparam, normalize="total")
ref.total <- colMeans(all.profiles/rowSums(all.profiles))
expect_equal(ref.total, total)
max <- profileSites(bam, windows, ext=100, range=100, param=rparam, normalize="max")
ref.max <- colMeans(all.profiles/apply(all.profiles, 1, max))
expect_equal(ref.max, max)
})
set.seed(120004)
test_that("profileSites correctly handles silly inputs", {
chromos <- c(chrA=1000, chrB=2000)
windows <- generateWindows(chrs=chromos, winsize=10, nwin=20)
rparam <- readParam()
n <- 1000
# Empty files.
bam0 <- regenSE(0L, chromos, outfname=tempfile())
out <- profileSites(bam0, windows, ext=100, range=100, param=rparam, average=FALSE)
expect_identical(ncol(out), 201L)
expect_identical(nrow(out), length(windows))
expect_true(all(out==0))
# Empty inputs.
out <- profileSites(bam0, windows[0], ext=100, range=100, param=rparam, average=FALSE)
expect_identical(ncol(out), 201L)
expect_identical(nrow(out), 0L)
out <- profileSites(bam0, windows[0], ext=100, range=100, param=rparam, average=TRUE)
expect_equivalent(out, rep(NA_real_, 201L))
# Negative or zero width.
expect_error(out <- profileSites(bam0, windows, ext=100, range=-100, param=rparam), "positive")
expect_error(out <- profileSites(bam0, windows, ext=-100, range=100, param=rparam), "positive")
})
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