Mercurial > repos > brasset_jensen > srnapipe
view bin/Rcall.pm @ 26:b3be854a4273 draft
Uploaded
author | brasset_jensen |
---|---|
date | Sun, 20 May 2018 16:55:31 -0400 |
parents | 6d9f127da28f |
children | 4bc00caa60b4 |
line wrap: on
line source
package Rcall; use strict; use warnings; use Statistics::R; use Exporter; our @ISA = qw(Exporter); our @EXPORT_OK = qw( &histogram &pie_chart &bg_to_png ); sub histogram { my ($size_hashR, $out_png, $size) = @_; my (@abs, @ord); my $i = 0; foreach my $k (sort {$a <=> $b} keys %{$size_hashR}) { my $percentage = 0; $percentage = $size_hashR->{$k} * 100 / $size if $size != 0; $abs[$i] = $k ; $ord[$i] = $percentage; $i++; } my $abs = join (",", @abs ); my $ord = join (",", @ord ); if (scalar(@abs) != 0) { my $R = Statistics::R->new(); $R->startR; $R->send( qq`library(ggplot2) percentage = c($ord) size =c($abs) min = min(size) max = max(size) dat = data.frame(size,percentage) png(filename=\"$out_png\", width = 640, height = 640) c = ggplot(dat,aes(size,percentage)) c + geom_bar(stat="identity") + scale_x_continuous(breaks=min:max)+theme( axis.text.x = element_text(angle=90, hjust=0.5, size=20), axis.text.y = element_text( size=20 ), axis.title.x = element_text( size=25, face="bold"), axis.title.y = element_text( size=25, face="bold") ) dev.off()`); $R->stopR(); } } sub bg_to_png { my ( $fai, $bgP, $bgM, $dir, $sb ) = @_; my $R = Statistics::R->new(); $R->startR; $R->send( qq`library('Sushi') fai =read.table("$fai") if ( file.info("$bgP")\$size !=0 ) { bgP = read.table("$bgP") } else { bgP = data.frame(factor(),integer()) } if ( file.info("$bgM")\$size !=0 ) { bgM = read.table("$bgM") } else { bgM = data.frame(factor(),integer()) } f_both = function(chr,end) { jpeg( paste0("$dir",as.character(chr),".png"), quality=100) par(mfrow=c(2,1),mar=c(1,10,1,3)) plotBedgraph(bgP, chrom=chr,chromstart=0,chromend=end,transparency=.50, color=SushiColors(2)(2)[1]) axis(side=2,las=2,tcl=.2) mtext("Scaled Read Depth",side=2,line=4,cex=1,font=2) plotBedgraph(bgM, chrom=chr,chromstart=0,chromend=end,transparency=.50, flip=TRUE, color=SushiColors(2)(2)[2]) labelgenome(chrom=chr,chromstart=0,chromend=end,side=3,n=3,scale="$sb", line=0, chromline = 0.5, scaleline = 0.5, scaleadjust =1.05, chromadjust = -0.4) axis(side=2,las=2,tcl=.2,at=pretty(par("yaxp")[c(1,2)]),labels=-1*pretty(par("yaxp")[c(1,2)])) mtext("Scaled Read Depth",side=2,line=4.5,cex=1,font=2) dev.off() } f_plus = function(chr,end) { jpeg( paste0("$dir",as.character(chr),".png"), quality=100) plotBedgraph(bgP, chrom=chr,chromstart=0,chromend=end,transparency=.50, color=SushiColors(2)(2)[1]) labelgenome(chrom=chr,chromstart=0,chromend=end,n=3,scale="$sb", line=0, chromline = 0.5, scaleline = 0.5, scaleadjust =1.05, chromadjust = -0.4) axis(side=2,las=2,tcl=.2) mtext("Scaled Read Depth",side=2,line=4,cex=1,font=2) dev.off() } f_minus = function(chr,end) { jpeg( paste0("$dir",as.character(chr),".png"), quality=100) plotBedgraph(bgM, chrom=chr,chromstart=0,chromend=end,transparency=.50, flip=TRUE, color=SushiColors(2)(2)[2]) labelgenome(chrom=chr,chromstart=0,chromend=end,n=3,scale="$sb", line=0, chromline = 0.5, scaleline = 0.5, scaleadjust =1.05, chromadjust = -0.4) axis(side=2,las=2,tcl=.2,at=pretty(par("yaxp")[c(1,2)]),labels=-1*pretty(par("yaxp")[c(1,2)])) mtext("Scaled Read Depth",side=2,line=4.5,cex=1,font=2) dev.off() } fai_b = fai[fai\$V1 %in% intersect(bgM\$V1,bgP\$V1), ] mapply( f_both, fai_b\$V1, fai_b\$V2) fai_p = fai[fai\$V1 %in% setdiff(bgP\$V1,bgM\$V1), ] mapply( f_plus, fai_p\$V1, fai_p\$V2) fai_m = fai[fai\$V1 %in% setdiff(bgM\$V1,bgP\$V1), ] mapply( f_minus, fai_m\$V1, fai_m\$V2) `); $R->stopR(); } sub pie_chart { my $dir = shift; my $in = $dir.'repartition.txt'; my $out = $dir.'pie_chart.png'; my $R = Statistics::R->new(); $R->startR; $R->send( qq` library(plotrix) library(RColorBrewer) R =read.table("$in",header=T) values = round(R\$percentage) keys = R\$type lab = paste(values, "%", sep="") png("$out") colors <- brewer.pal(7,"Paired") pie(values, col=colors, labels=lab, clockwise=TRUE) legend("bottom", legend = keys, fill=colors, bty="n", ncol = 3) par(mai = c(0,0,0,0)) layout(c(1,2),heights=c(0.3,1)) plot.new() legend("bottom", legend = keys, fill=colors, bty="n",ncol = 3) pie(values, col=colors, labels=lab, clockwise=TRUE) dev.off()` ); $R->stopR(); } 1;