56 lines
2.6 KiB
R
56 lines
2.6 KiB
R
#!/broad/tools/apps/R-2.6.0/bin/Rscript
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args <- commandArgs(TRUE)
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input = args[1]
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Qcutoff = as.numeric(args[2])
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t=read.table(input, header=T)
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#t=read.csv(input)
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#par(mfrow=c(2,1), cex=1.2)
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#outfile = paste(input, ".quality_emp_v_stated.png", sep="")
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#png(outfile, height=7, width=7, units="in", res=72) # height=1000, width=446)
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outfile = paste(input, ".quality_emp_v_stated.pdf", sep="")
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pdf(outfile, height=7, width=7)
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d.good <- t[t$nBases >= 10000 & t$Qreported >= Qcutoff,]
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d.1000 <- t[t$nBases < 1000 & t$Qreported >= Qcutoff,]
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d.10000 <- t[t$nBases < 10000 & t$nBases >= 1000 & t$Qreported >= Qcutoff,]
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f <- t[t$Qreported < Qcutoff,]
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e <- rbind(d.good, d.1000, d.10000)
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rmseBlue = sqrt(sum((d.good$Qempirical-d.good$Qreported)^2 * d.good$nBases) / sum(d.good$nBases) )
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rmseAll = sqrt(sum((e$Qempirical-e$Qreported)^2 * e$nBases) / sum(e$nBases) )
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theTitle = paste("RMSE_good = ", round(rmseBlue,digits=3), ", RMSE_all = ", round(rmseAll,digits=3))
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if (length(t$nBases) == length(d.good$nBases) ) {
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theTitle = paste("RMSE = ", round(rmseAll,digits=3));
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}
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plot(d.good$Qreported, d.good$Qempirical, type="p", col="blue", main=theTitle, xlim=c(0,40), ylim=c(0,40), pch=16, xlab="Reported quality score", ylab="Empirical quality score")
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points(d.1000$Qreported, d.1000$Qempirical, type="p", col="lightblue", pch=16)
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points(d.10000$Qreported, d.10000$Qempirical, type="p", col="cornflowerblue", pch=16)
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points(f$Qreported, f$Qempirical, type="p", col="maroon1", pch=16)
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abline(0,1, lty=2)
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dev.off()
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#outfile = paste(input, ".quality_emp_hist.png", sep="")
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#png(outfile, height=7, width=7, units="in", res=72) # height=1000, width=446)
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outfile = paste(input, ".quality_emp_hist.pdf", sep="")
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pdf(outfile, height=7, width=7)
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hst=subset(data.frame(e$Qempirical, e$nBases), e.nBases != 0)
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hst2=subset(data.frame(f$Qempirical, f$nBases), f.nBases != 0)
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plot(hst$e.Qempirical, hst$e.nBases, type="h", lwd=4, xlim=c(0,40), main="Empirical quality score histogram", xlab="Empirical quality score", ylab="Count",yaxt="n")
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points(hst2$f.Qempirical, hst2$f.nBases, type="h", lwd=4, col="maroon1")
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axis(2,axTicks(2), format(axTicks(2), scientific=F))
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dev.off()
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#
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# Plot Q reported histogram
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#
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outfile = paste(input, ".quality_rep_hist.pdf", sep="")
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pdf(outfile, height=7, width=7)
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hst=subset(data.frame(e$Qreported, e$nBases), e.nBases != 0)
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hst2=subset(data.frame(f$Qreported, f$nBases), f.nBases != 0)
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plot(hst$e.Qreported, hst$e.nBases, type="h", lwd=4, xlim=c(0,40), main="Reported quality score histogram", xlab="Reported quality score", ylab="Count",yaxt="n")
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points(hst2$f.Qreported, hst2$f.nBases, type="h", lwd=4, col="maroon1")
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axis(2,axTicks(2), format(axTicks(2), scientific=F))
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dev.off()
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