Mercurial > repos > greg > ideas
view create_heatmap.R @ 121:755d4a3754d2 draft
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author | greg |
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date | Fri, 17 Nov 2017 13:13:37 -0500 |
parents | f8a7bf4ca1a7 |
children | 7229e52fa8e1 |
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#!/usr/bin/env Rscript suppressPackageStartupMessages(library("optparse")) option_list <- list( make_option(c("-i", "--input_dir"), action="store", dest="input_dir", help="IDEAS para files directory"), make_option(c("-o", "--output_dir"), action="store", dest="output_dir", help="PDF output directory") ) parser <- OptionParser(usage="%prog [options] file", option_list=option_list) args <- parse_args(parser, positional_arguments=TRUE) opt <- args$options state_color <- function(statemean, markcolor=NULL) { if(length(markcolor) == 0) { markcolor = rep("", dim(statemean)[2]); markcolor[order(apply(statemean, 2, sd), decreasing=T)] = hsv((1:dim(statemean)[2]-1) / dim(statemean)[2], 1, 1); markcolor = t(col2rgb(markcolor)); } rg = apply(statemean, 1, range); mm = NULL; for(i in 1:dim(statemean)[1]) { mm = rbind(mm, (statemean[i,] - rg[1,i] + 1e-10) / (rg[2,i] - rg[1,i] + 1e-10)); } mm = mm^6; if(dim(mm)[2] > 1) { mm = mm / (apply(mm, 1, sum) + 1e-10); } mycol = mm%*%markcolor; s = apply(statemean, 1, max); s = (s - min(s)) / (max(s) - min(s) + 1e-10); h = t(apply(mycol, 1, function(x){rgb2hsv(x[1], x[2], x[3])})); h[,2] = h[,2] * s; h = apply(h, 1, function(x){hsv(x[1], x[2], x[3])}); rt = cbind(apply(t(col2rgb(h)), 1, function(x){paste(x, collapse=",")}) ,h); return(rt); } create_heatmap<-function(data_frame, output_file_name, statecolor=NULL, markcolor=NULL, cols=c("white","dark blue")) { k = dim(data_frame)[2]; l = dim(data_frame)[1]; p = (sqrt(9 + 8 * (k - 1)) - 3) / 2; data_matrix = as.matrix(data_frame[,1+1:p] / data_frame[,1]); colnames(data_matrix) = colnames(data_frame)[1+1:p]; marks = colnames(data_matrix); rownames(data_matrix) = paste(1:l," (", round(data_frame[,1] / sum(data_frame[,1]) * 10000) / 100, "%)", sep=""); pdf(file=output_file_name); par(mar=c(6, 1, 1, 6)); rg = range(data_matrix); colors = 0:100 / 100 * (rg[2] - rg[1]) + rg[1]; my_palette = colorRampPalette(cols)(n=100); defpalette = palette(my_palette); plot(NA, NA, xlim=c(0,p+0.7), ylim=c(0,l), xaxt="n", yaxt="n", xlab=NA, ylab=NA, frame.plot=F); axis(1, at=1:p-0.5, labels=colnames(data_matrix), las=2); axis(4, at=1:l-0.5, labels=rownames(data_matrix), las=2); rect(rep(1:p-1,l), rep(1:l-1,each=p), rep(1:p,l), rep(1:l,each=p), col=round((t(data_matrix)-rg[1])/(rg[2]-rg[1])*100)); if(length(statecolor)==0) { if(length(markcolor)==0) { markcolor=t(col2rgb(terrain.colors(ceiling(p))[1:p])); for(i in 1:length(marks)) { if(regexpr("h3k4me3",tolower(marks[i]))>0) { markcolor[i,]=c(255,0,0); } if(regexpr("h3k4me2",tolower(marks[i]))>0) { markcolor[i,]=c(250,100,0); } if(regexpr("h3k4me1",tolower(marks[i]))>0) { markcolor[i,]=c(250,250,0); } if(regexpr("h3k36me3",tolower(marks[i]))>0) { markcolor[i,]=c(0,150,0); } if(regexpr("h2a",tolower(marks[i]))>0) { markcolor[i,]=c(0,150,150); } if(regexpr("dnase",tolower(marks[i]))>0) { markcolor[i,]=c(0,200,200); } if(regexpr("h3k9ac",tolower(marks[i]))>0) { markcolor[i,]=c(250,0,200); } if(regexpr("h3k9me3",tolower(marks[i]))>0) { markcolor[i,]=c(100,100,100); } if(regexpr("h3k27ac",tolower(marks[i]))>0) { markcolor[i,]=c(250,150,0); } if(regexpr("h3k27me3",tolower(marks[i]))>0) { markcolor[i,]=c(0,0,200); } if(regexpr("h3k79me2",tolower(marks[i]))>0) { markcolor[i,]=c(200,0,200); } if(regexpr("h4k20me1",tolower(marks[i]))>0) { markcolor[i,]=c(50,200,50); } if(regexpr("ctcf",tolower(marks[i]))>0) { markcolor[i,]=c(200,0,250); } } } sc = state_color(data_matrix, markcolor)[,2]; } rect(rep(p+0.2,l), 1:l-0.8, rep(p+0.8,l), 1:l-0.2, col=sc); palette(defpalette); dev.off(); } # Read the inputs. para_files <- list.files(path=input_dir, pattern="*.para", full.names=TRUE); for (i in 1:length(para_files) { para_file <- para_files[i]; para_file_base_name <- strsplit(para_file, ".para", fixed=TRUE)[1]; output_file_name <- paste(opt$output_dir, "/", para_file_base_name, ".pdf", sep=""); data_frame <- read.table(para_file, comment="!", header=T); create_heatmap(data_frame, output_file_name); }