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rsem-gen-transcript-plots
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rsem-gen-transcript-plots
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#!/usr/bin/env Rscript
### Some constants
nrow_per_page = 3 # if input_list is composed of transcript ids
ncol_per_page = 2 # if input_list is composed of transcript ids
num_plots_per_page = nrow_per_page * ncol_per_page # if input_list is composed of transcript/allele ids
### Load program arguments
assert = function(expr, errmsg) {
if (!expr) {
cat(errmsg, "\n", sep = "", file = stderr())
quit(save = "no", status = 1)
}
}
args = commandArgs(TRUE)
assert(length(args) == 6, "Usage: rsem-gen-transcript-plots sample_name input_list is_allele_specific id_type<0,allele;1,isoform;2,gene> show_uniq output_plot_file")
sample_name = args[1]
input_list = args[2]
alleleS = as.numeric(args[3])
id_type = as.numeric(args[4])
show_uniq = as.numeric(args[5])
output_plot_file = args[6]
### Load read depth files
load_read_depth = function(file) {
depth = read.table(file, sep = "\t", stringsAsFactors = FALSE)
rownames(depth) = depth[,1]
return (depth)
}
readdepth = load_read_depth(sprintf("%s.transcript.readdepth", sample_name))
M = dim(readdepth)[1]
ord_depth = order(readdepth[,1])
all2uniq = c()
if (show_uniq) {
readdepth_uniq = load_read_depth(sprintf("%s.uniq.transcript.readdepth", sample_name))
ord_uniq_depth = order(readdepth_uniq[,1])
assert(sum(readdepth[ord_depth,1] != readdepth_uniq[ord_uniq_depth,1]) == 0, "transcript/allele IDS in read depth and unique read depth files are not the same!")
assert(sum(readdepth[ord_depth,2] != readdepth_uniq[ord_uniq_depth,2]) == 0, "transcript lengths in read depth and unique read depth files are not the same!")
all2uniq[ord_depth] = ord_uniq_depth
}
cat("Loading read depth files is done!\n")
### Build Gene-Isoform/Gene-Allele map and maps between IDs and ID_NAMEs
id_equal = function(a, b) {
a == substr(b, 1, nchar(a))
}
expr_data = read.delim(sprintf("%s.%s.results", sample_name, ifelse(alleleS, "alleles", "isoforms")), stringsAsFactors = FALSE)
assert(M == dim(expr_data)[1], "The number of transcripts/alleles contained in the expression file is not equal to the number in the readdepth file!")
ord_expr = order(expr_data[,1])
assert(sum(sapply(1:M, function(i) { !id_equal(readdepth[ord_depth[i], 1], expr_data[ord_expr[i], 1]) })) == 0, "Transcript/Allele IDs in the expression file is not exactly the same as the ones in the readdepth file!")
expr2depth = c() # from id_name to pos
expr2depth[ord_expr] = ord_depth
names(expr2depth) = expr_data[,1]
is_composite = (!alleleS && (id_type == 2)) || (alleleS && (id_type > 0))
if (is_composite) {
tmp_df = data.frame(expr2depth, expr_data[,ifelse(alleleS && id_type == 2, 3, 2)], stringsAsFactors = F)
tmp_agg = aggregate(tmp_df[1], tmp_df[2], function(x) { x })
}
cat("Building transcript to gene map is done!\n")
### Load and transfer IDs
ids = scan(file = input_list, what = "", sep = "\n", strip.white = T)
assert(length(ids) > 0, "You should provide at least one ID.")
poses = c()
if (is_composite) {
poses = charmatch(ids, tmp_agg[,1], nomatch = -1)
} else {
poses = match(ids, expr_data[,1])
idx = !is.na(poses)
poses[idx] = expr2depth[poses[idx]]
poses[!idx] = match(ids[!idx], readdepth[,1], nomatch = -1)
}
err_idx = poses < 1
if (sum(err_idx) > 0) {
cat("Warning: The following IDs are not in the RSEM indices and thus ignored: ")
cat(ids[err_idx], sep = ", ")
cat("\n")
}
ids = ids[!err_idx]
poses = poses[!err_idx]
assert(length(poses) > 0, "There is no valid ID. Stopped.")
### Generate plots
# pos is a number indexing the position in readdepth/readdepth_uniq
make_a_plot = function(pos) {
len = readdepth[pos, 2]
depths = readdepth[pos, 3]
if (is.na(depths)) wiggle = rep(0, len) else wiggle = as.numeric(unlist(strsplit(depths, split = " ")))
if (!show_uniq) {
plot(wiggle, type = "h")
} else {
depths = readdepth_uniq[all2uniq[pos], 3]
if (is.na(depths)) wiggle_uniq = rep(0, len) else wiggle_uniq = as.numeric(unlist(strsplit(depths, split = " ")))
if (len != sum(wiggle >= wiggle_uniq)) {
cat("Warning: ", ifelse(alleleS, "allele-specific transcript", "transcript"), " ", id, " has position(s) that read covarege with multireads is smaller than read covarge without multireads.\n", " The 1-based position(s) is(are) : ", which(wiggle < wiggle_uniq), ".\n", " This may be due to floating point arithmetics.\n", sep = "")
}
heights = rbind(wiggle_uniq, wiggle - wiggle_uniq)
barplot(heights, space = 0, border = NA, names.arg = 1:len, col = c("black", "red"))
}
title(main = readdepth[pos, 1])
}
# poses is a vector of numbers
generate_a_page = function(poses, title = NULL) {
n = length(poses)
ncol = ifelse(is_composite, floor(sqrt(n)), ncol_per_page)
nrow = ifelse(is_composite, ceiling(n / ncol), nrow_per_page)
par(mfrow = c(nrow, ncol), mar = c(2, 2, 2, 2))
if (is_composite) par(oma = c(0, 0, 3, 0))
sapply(poses, make_a_plot)
if (is_composite) mtext(title, outer = TRUE, line = 1)
}
plot_individual = function(i) {
fr = (i - 1) * num_plots_per_page + 1
to = min(i * num_plots_per_page, n)
generate_a_page(poses[fr:to])
}
# cid, composite id, can be either a gene id or transcript id (for allele-specific expression only)
plot_composite = function(pos) {
generate_a_page(tmp_agg[pos, 2][[1]], tmp_agg[pos, 1])
}
pdf(output_plot_file)
if (!is_composite) {
n = length(ids)
ub = (n - 1) %/% num_plots_per_page + 1
dumbvar = sapply(1:ub, plot_individual)
} else {
dumbvar = sapply(poses, plot_composite)
}
cat("Plots are generated!\n")
dev.off.output = dev.off()