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7
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1 # 1-20-10 Qunhua Li
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2 #
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3 # This program first plots correspondence curve and IDR threshold plot
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4 # (i.e. number of selected peaks vs IDR) for each pair of sample
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5 #
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6 # usage:
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7 # Rscript batch-consistency-plot-merged.r [npairs] [output.dir] [input.file.prefix 1, 2, 3 ...]
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8 # [npairs]: integer, number of consistency analyses
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9 # (e.g. if 2 replicates, npairs=1, if 3 replicates, npairs=3
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10 # [output.prefix]: output directory and file name prefix for plot eg. /plots/idrPlot
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11 # [input.file.prefix 1, 2, 3]: prefix for the output from batch-consistency-analysis2. They are the input files for merged analysis see below for examples (i.e. saved.file.prefix). It can be multiple files
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12 #
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13
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14 args <- commandArgs(trailingOnly=T)
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15 npair <- args[1] # number of curves to plot on the same figure
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16 output.file.prefix <- args[2] # file name for plot, generated from script at the outer level
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17 df.txt <- 10
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18 ntemp <- as.numeric(npair)
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19 saved.file.prefix <- list() # identifier of filenames that contain the em and URI results
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20 source("/mnt/galaxyTools/galaxy-central/tools/modENCODE_DCC_tools/idr/functions-all-clayton-12-13.r")
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21
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22 uri.list <- list()
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23 uri.list.match <- list()
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24 ez.list <- list()
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25 legend.txt <- c()
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26 em.output.list <- list()
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27 uri.output.list <- list()
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28
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29 for(i in 1:npair){
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30 saved.file.prefix[i] <- args[2+i]
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31
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32 load(paste(saved.file.prefix[i], "-uri.sav", sep=""))
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33 load(paste(saved.file.prefix[i], "-em.sav", sep=""))
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34
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35 uri.output.list[[i]] <- uri.output
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36 em.output.list[[i]] <- em.output
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37
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38 ez.list[[i]] <- get.ez.tt.all(em.output, uri.output.list[[i]]$data12.enrich$merge1,
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39 uri.output.list[[i]]$data12.enrich$merge2) # reverse =T for error rate
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40
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41 # URI for all peaks
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42 uri.list[[i]] <- uri.output$uri.n
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43 # URI for matched peaks
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44 uri.match <- get.uri.matched(em.output$data.pruned, df=df.txt)
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45 uri.list.match[[i]] <- uri.match$uri.n
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46
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47 file.name <- unlist(strsplit(as.character(saved.file.prefix[i]), "/"))
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48
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49 legend.txt[i] <- paste(i, "=", file.name[length(file.name)])
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50
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51 }
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52
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53 plot.uri.file <- paste(output.file.prefix, "-plot.ps", sep="")
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54
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55 ############# plot and report output
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56 # plot correspondence curve for each pair,
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57 # plot number of selected peaks vs IDR
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58 # plot all into 1 file
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59 postscript(paste(output.file.prefix, "-plot.ps", sep=""))
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60 par(mfcol=c(2,3), mar=c(5,6,4,2)+0.1)
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61 plot.uri.group(uri.list, NULL, file.name=NULL, c(1:npair), title.txt="all peaks")
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62 plot.uri.group(uri.list.match, NULL, file.name=NULL, c(1:npair), title.txt="matched peaks")
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63 plot.ez.group(ez.list, plot.dir=NULL, file.name=NULL, legend.txt=c(1:npair), y.lim=c(0, 0.6))
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64 plot(0, 1, type="n", xlim=c(0,1), ylim=c(0,1), xlab="", ylab="", xaxt="n", yaxt="n") # legends
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65 legend(0, 1, legend.txt, cex=0.6)
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66
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67 dev.off()
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68
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