Mercurial > repos > davidvanzessen > shm_csr

annotate nt_overview.r @ 96:385dea3c6cb5 draft

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planemo upload commit 423a48569c69301fdbf893ac3a649128404dfff5
author rhpvorderman
date Fri, 05 Jan 2024 08:53:22 +0000
parents cf8ad181628f
children
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1 args <- commandArgs(trailingOnly = TRUE)
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3 merged.file = args[1]
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4 outputdir = args[2]
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5 gene.classes = unlist(strsplit(args[3], ","))
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6 hotspot.analysis.sum.file = args[4]
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7 NToverview.file = paste(outputdir, "ntoverview.txt", sep="/")
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8 empty.region.filter = args[5]
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11 setwd(outputdir)
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12
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13 merged = read.table(merged.file, header=T, sep="\t", fill=T, stringsAsFactors=F, quote="")
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14 hotspot.analysis.sum = read.table(hotspot.analysis.sum.file, header=F, sep=",", fill=T, stringsAsFactors=F, quote="")
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16 #ACGT overview
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17
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18 NToverview = merged
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19
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385dea3c6cb5 planemo upload commit 423a48569c69301fdbf893ac3a649128404dfff5
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20 if(empty.region.filter == "leader" || empty.region.filter == "None"){
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21 NToverview$seq = paste(NToverview$FR1.IMGT.seq, NToverview$CDR1.IMGT.seq, NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
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22 } else if(empty.region.filter == "FR1"){
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23 NToverview$seq = paste(NToverview$CDR1.IMGT.seq, NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
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24 } else if(empty.region.filter == "CDR1"){
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25 NToverview$seq = paste(NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
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26 } else if(empty.region.filter == "FR2"){
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27 NToverview$seq = paste(NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
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28 }
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30 NToverview$A = nchar(gsub("[^Aa]", "", NToverview$seq))
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31 NToverview$C = nchar(gsub("[^Cc]", "", NToverview$seq))
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32 NToverview$G = nchar(gsub("[^Gg]", "", NToverview$seq))
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33 NToverview$T = nchar(gsub("[^Tt]", "", NToverview$seq))
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35 #Nsum = data.frame(Sequence.ID="-", best_match="Sum", seq="-", A = sum(NToverview$A), C = sum(NToverview$C), G = sum(NToverview$G), T = sum(NToverview$T))
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37 #NToverview = rbind(NToverview, NTsum)
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39 NTresult = data.frame(nt=c("A", "C", "T", "G"))
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41 for(clazz in gene.classes){
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42 print(paste("class:", clazz))
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43 NToverview.sub = NToverview[grepl(paste("^", clazz, sep=""), NToverview$best_match),]
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44 print(paste("nrow:", nrow(NToverview.sub)))
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45 new.col.x = c(sum(NToverview.sub$A), sum(NToverview.sub$C), sum(NToverview.sub$T), sum(NToverview.sub$G))
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46 new.col.y = sum(new.col.x)
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47 new.col.z = round(new.col.x / new.col.y * 100, 2)
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48
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49 tmp = names(NTresult)
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50 NTresult = cbind(NTresult, data.frame(new.col.x, new.col.y, new.col.z))
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51 names(NTresult) = c(tmp, paste(clazz, c("x", "y", "z"), sep=""))
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52 }
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54 NToverview.tmp = NToverview[,c("Sequence.ID", "best_match", "seq", "A", "C", "G", "T")]
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56 names(NToverview.tmp) = c("Sequence.ID", "best_match", "Sequence of the analysed region", "A", "C", "G", "T")
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58 write.table(NToverview.tmp, NToverview.file, quote=F, sep="\t", row.names=F, col.names=T)
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59
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60 NToverview = NToverview[!grepl("unmatched", NToverview$best_match),]
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61
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62 new.col.x = c(sum(NToverview$A), sum(NToverview$C), sum(NToverview$T), sum(NToverview$G))
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63 new.col.y = sum(new.col.x)
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64 new.col.z = round(new.col.x / new.col.y * 100, 2)
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65
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66 tmp = names(NTresult)
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67 NTresult = cbind(NTresult, data.frame(new.col.x, new.col.y, new.col.z))
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68 names(NTresult) = c(tmp, paste("all", c("x", "y", "z"), sep=""))
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69
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70 names(hotspot.analysis.sum) = names(NTresult)
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72 hotspot.analysis.sum = rbind(hotspot.analysis.sum, NTresult)
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74 write.table(hotspot.analysis.sum, hotspot.analysis.sum.file, quote=F, sep=",", row.names=F, col.names=F, na="0")