/usr/bin/rsem-gen-transcript-plots is in rsem 1.2.31+dfsg-1.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | #!/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()
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