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###############################################################################
## plotRegiont.R -- plot a snapshot of a genomic region
## 30 november 2018 Thomas Faux
## Medical Bioinformatics Centre
###############################################################################
# plot the regions that are contained in BED
# @param BED list of dataframes containing the peaks
# @param region GRanges object containing the region to plot
# @param colorPalette Contain vector of colors to be used for each line
# @param verbose Prompt the progress
plotBED <- function(BED, region, colorPalette, verbose) {
overlaps <- takePeaksOverlap(BED, region, verbose)
mysegment <- function(GRanges, y, colorPalette) {
graphics::segments(x0 = GenomicRanges::start(GRanges[[1]]), y0 = y - 0.5,
x1 = GenomicRanges::end(GRanges[[1]]),
y1 = y - 0.5, col = colorPalette[y], lwd = 6)
}
graphics::plot(x = 1, ylim = c(0, length(overlaps)), xlim = c(GenomicRanges::start(region),
GenomicRanges::end(region)), ylab = "", yaxt = "n")
if (dim(GenomicRanges::as.data.frame(overlaps))[1] > 0) {
index <- 0
for (i in names(overlaps)) {
index <- index + 1
if (dim(GenomicRanges::as.data.frame(overlaps[i]))[1] == 1) {
mysegment(overlaps[i], index, colorPalette)
}
if (dim(GenomicRanges::as.data.frame(overlaps[i]))[1] > 1) {
mysegment(overlaps[i][1], index, colorPalette)
}
}
} else {
warning(paste0("There is no overlaps with the given region :", region))
}
}
# take the peaks that are overlaping with the region to plot
# @param BED list of dataframes containing the peaks
# @param region GRanges object containing the region to plot
# @param verbose Prompt the progress
# @return returns a list of dataframes containing the peaks
takePeaksOverlap <- function(BED, region, verbose) {
if (verbose == TRUE) {
message("overlapping peaks with region \n")
}
peaks <- loadPeaks(BED = BED, verbose)
return_object <- GenomicRanges::GRangesList()
for (software in names(peaks)) {
temp <- peaks[[software]][c(1, 2, 3)]
colnames(temp) <- c("seqname", "start", "end")
temp <- GenomicRanges::GRanges(temp)
return_object[[software]] <- temp[S4Vectors::queryHits(GenomicRanges::findOverlaps(temp,
region))]
}
return(return_object)
}
# load the peaks from the bed files listed in the info
# @param BED list of dataframes containing the peaks
# @param verbose Prompt the progress
# @return returns a list of dataframes
loadPeaks <- function(BED, verbose) {
if (verbose == TRUE) {
message("load the peak files \n")
}
temp <- lapply(X = BED$files, FUN = function(x) utils::read.table(file = x, sep = "\t"))
names(temp) <- BED$software
return(temp)
}
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