'plotlog2andbafs' <- function(path=NULL, platform="exome", ncores=24)
{
if (is.null(path)) {
stop("path to facets output not supplied")
}
if (!dir.exists(paste0(path, "/resu/"))) {
stop("directory 'resu' absent")
}
if (!dir.exists(paste0(path, "/resu/mad"))) {
stop("directory 'mad' absent")
}
if (!dir.exists(paste0(path, "/resu/log2baf"))) {
dir.create(paste0(path, "/resu/log2baf"))
}
if (platform=="exome") {
pch = CNu::.CnuEnv$pch_bE
cex = CNu::.CnuEnv$cex_bE
} else if (platform=="targeted") {
pch = CNu::.CnuEnv$pch_bT
cex = CNu::.CnuEnv$cex_bT
}
registerDoMC(ncores)
sampleNames = gsub(pattern=".RData", replacement="", x=dir(path=paste0(path, "/resu/mad/"), pattern=".RData", full.names=FALSE), fixed=TRUE)
pb = txtProgressBar(min=1, max=length(sampleNames), style=3)
res = foreach (i=1:length(sampleNames)) %dopar% {
if (length(sampleNames)<=ncores) {
if (i==length(sampleNames)) {
setTxtProgressBar(pb, i)
}
} else {
if ((i %% ncores)==0) {
setTxtProgressBar(pb, i)
}
}
load(paste0(path, "/resu/mad/", sampleNames[i], ".RData"))
for (j in 1:nrow(sCN)) {
index = which(tCN[,"Chromosome"]==sCN[j,"Chromosome"] & tCN[,"Position"]>=sCN[j,"Start"] & tCN[,"Position"]<=sCN[j,"End"] & tCN[,"Genotype"]==0)
n = length(index)
sCN[j,"N"] = sCN[j,"N"] - n
}
sCN = subset(sCN, sCN[,"N"]>0)
tCN = subset(tCN, tCN[,"Genotype"]==1)
sCN[,"N"] = cumsum(sCN[,"N"])
col = rep("grey80", nrow(tCN))
col[(tCN[,"Chromosome"] %% 2)==0] = "grey70"
pdf(file=paste0(path, "/resu/log2baf/", sampleNames[i], ".pdf"), height=7*13/7, width=7*20/7)
par(mar=c(5, 5, 4, 2)+.1, mfrow=c(2,1))
plot(tCN[,"Log2Ratio"], type="p", pch=pch, cex=cex, col=col, axes=FALSE, frame=TRUE, xlab="", ylab="", main="", ylim=c(-2,2))
for (j in 2:nrow(sCN)) {
lines(x=c(sCN[j-1,"N"], sCN[j,"N"]), y=rep(sCN[j,"SegmentedLog2Ratio"],2), lty=1, lwd=5, col="red")
}
lines(x=c(1, sCN[1,"N"]), y=rep(sCN[1,"SegmentedLog2Ratio"],2), lty=1, lwd=5, col="red")
axis(2, at = NULL, cex.axis = 1.5, las = 1)
mtext(side = 1, text = "Chromosome", line = 3, cex = 1.5)
mtext(side = 2, text = expression(Log[2]~"Ratio"), line = 3, cex = 1.5)
abline(v=1, col="goldenrod3")
abline(h=0, col="red")
for (k in 1:23) {
v = max(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1))
abline(v=v, col="goldenrod3")
}
start = NULL
end = NULL
for (k in 1:23) {
start = c(start, min(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1)))
end = c(end, max(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1)))
}
axis(1, at = .5*(start+end), labels=c(1:22,"X"), cex.axis = 1.5, las = 1)
plot(tCN[,"BAF"], type="p", pch=pch, cex=cex, col=col, axes=FALSE, frame=TRUE, xlab="", ylab="", main="", ylim=c(0,1))
points(1-tCN[,"BAF"], type="p", pch=pch, cex=cex, col=col)
for (j in 2:nrow(sCN)) {
lines(x=c(sCN[j-1,"N"], sCN[j,"N"]), y=rep(sCN[j,"SegmentedBAF"],2), lty=1, lwd=4, col="red")
lines(x=c(sCN[j-1,"N"], sCN[j,"N"]), y=1-rep(sCN[j,"SegmentedBAF"],2), lty=1, lwd=4, col="red")
}
lines(x=c(1, sCN[1,"N"]), y=rep(sCN[1,"SegmentedBAF"],2), lty=1, lwd=4, col="red")
lines(x=c(1, sCN[1,"N"]), y=1-rep(sCN[1,"SegmentedBAF"],2), lty=1, lwd=4, col="red")
axis(2, at = NULL, cex.axis = 1.5, las = 1)
mtext(side = 1, text = "Chromosome", line = 3, cex = 1.5)
mtext(side = 2, text = "BAF", line = 3, cex = 1.5)
abline(v=1, col="goldenrod3")
abline(h=0.5, col="red")
for (k in 1:23) {
v = max(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1))
abline(v=v, col="goldenrod3")
}
start = NULL
end = NULL
for (k in 1:23) {
start = c(start, min(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1)))
end = c(end, max(which(tCN[,"Chromosome"]==k & tCN[,"Position"]>1)))
}
axis(1, at = .5*(start+end), labels=c(1:22,"X"), cex.axis = 1.5, las = 1)
dev.off()
return(1)
}
close(pb)
if (sum(unlist(res))==length(sampleNames)) {
cat("\n")
}
return(invisible(as.logical(unlist(res))))
}
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