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0
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1 args <- commandArgs(trailingOnly = TRUE)
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2
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3 summ.file = args[1]
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20
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4 sequences.file = args[2]
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5 aa.file = args[3]
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6 junction.file = args[4]
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7 out.file = args[5]
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8
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9 summ = read.table(summ.file, sep="\t", header=T, quote="", fill=T)
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20
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10 sequences = read.table(sequences.file, sep="\t", header=T, quote="", fill=T)
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11 aa = read.table(aa.file, sep="\t", header=T, quote="", fill=T)
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12 junction = read.table(junction.file, sep="\t", header=T, quote="", fill=T)
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13
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14 old_summary_columns=c('Sequence.ID','JUNCTION.frame','V.GENE.and.allele','D.GENE.and.allele','J.GENE.and.allele','CDR1.IMGT.length','CDR2.IMGT.length','CDR3.IMGT.length','Orientation')
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15 old_sequence_columns=c('CDR1.IMGT','CDR2.IMGT','CDR3.IMGT')
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16 old_junction_columns=c('JUNCTION')
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17
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18 added_summary_columns=c('Functionality','V.REGION.identity..','V.REGION.identity.nt','D.REGION.reading.frame','AA.JUNCTION','Functionality.comment','Sequence')
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19 added_sequence_columns=c('FR1.IMGT','FR2.IMGT','FR3.IMGT','CDR3.IMGT','JUNCTION','J.REGION','FR4.IMGT')
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20
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21 added_junction_columns=c('P3.V.nt.nb','N.REGION.nt.nb','N1.REGION.nt.nb','P5.D.nt.nb','P3.D.nt.nb','N2.REGION.nt.nb','P5.J.nt.nb','X3.V.REGION.trimmed.nt.nb','X5.D.REGION.trimmed.nt.nb','X3.D.REGION.trimmed.nt.nb','X5.J.REGION.trimmed.nt.nb','N.REGION','N1.REGION','N2.REGION')
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22 added_junction_columns=c(added_junction_columns, 'P5.D1.nt.nb', 'P3.D1.nt.nb', 'N2.REGION.nt.nb', 'P5.D2.nt.nb', 'P3.D2.nt.nb', 'N3.REGION.nt.nb', 'P5.D3.nt.nb', 'P3.D2.nt.nb', 'N4.REGION.nt.nb', 'X5.D1.REGION.trimmed.nt.nb', 'X3.D1.REGION.trimmed.nt.nb', 'X5.D2.REGION.trimmed.nt.nb', 'X3.D2.REGION.trimmed.nt.nb', 'X5.D3.REGION.trimmed.nt.nb', 'X3.D3.REGION.trimmed.nt.nb', 'D.REGION.nt.nb', 'D1.REGION.nt.nb', 'D2.REGION.nt.nb', 'D3.REGION.nt.nb')
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23
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24 out=summ[,c("Sequence.ID","JUNCTION.frame","V.GENE.and.allele","D.GENE.and.allele","J.GENE.and.allele")]
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25
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26 out[,"CDR1.Seq"] = aa[,"CDR1.IMGT"]
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27 out[,"CDR1.Length"] = summ[,"CDR1.IMGT.length"]
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28
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29 out[,"CDR2.Seq"] = aa[,"CDR2.IMGT"]
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30 out[,"CDR2.Length"] = summ[,"CDR2.IMGT.length"]
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31
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32 out[,"CDR3.Seq"] = aa[,"CDR3.IMGT"]
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33 out[,"CDR3.Length"] = summ[,"CDR3.IMGT.length"]
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34
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35 out[,"CDR3.Seq.DNA"] = sequences[,"CDR3.IMGT"]
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36 out[,"CDR3.Length.DNA"] = nchar(as.character(sequences[,"CDR3.IMGT"]))
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37 out[,"Strand"] = summ[,"Orientation"]
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38 out[,"CDR3.Found.How"] = "a"
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39
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40 out[,added_summary_columns] = summ[,added_summary_columns]
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41
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42 out[,added_sequence_columns] = aa[,added_sequence_columns]
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43
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44 out[,added_junction_columns] = junction[,added_junction_columns]
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45
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46 out[,"Top V Gene"] = gsub(".* ", "", gsub("\\*.*", "", summ[,"V.GENE.and.allele"]))
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47 out[,"Top D Gene"] = gsub(".* ", "", gsub("\\*.*", "", summ[,"D.GENE.and.allele"]))
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48 out[,"Top J Gene"] = gsub(".* ", "", gsub("\\*.*", "", summ[,"J.GENE.and.allele"]))
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49
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50 out = out[!grepl("Less than", summ[,"V.GENE.and.allele"]),]
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51 out = out[!grepl("Less than", summ[,"D.GENE.and.allele"]),]
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52 out = out[!grepl("Less than", summ[,"J.GENE.and.allele"]),]
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53
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54 out = out[,c('Sequence.ID','JUNCTION.frame','Top V Gene','Top D Gene','Top J Gene','CDR1.Seq','CDR1.Length','CDR2.Seq','CDR2.Length','CDR3.Seq','CDR3.Length','CDR3.Seq.DNA','CDR3.Length.DNA','Strand','CDR3.Found.How','Functionality','V.REGION.identity..','V.REGION.identity.nt','D.REGION.reading.frame','AA.JUNCTION','Functionality.comment','Sequence','FR1.IMGT','FR2.IMGT','FR3.IMGT','CDR3.IMGT','JUNCTION','J.REGION','FR4.IMGT','P3.V.nt.nb','N.REGION.nt.nb','N1.REGION.nt.nb','P5.D.nt.nb','P3.D.nt.nb','N2.REGION.nt.nb','P5.J.nt.nb','X3.V.REGION.trimmed.nt.nb','X5.D.REGION.trimmed.nt.nb','X3.D.REGION.trimmed.nt.nb','X5.J.REGION.trimmed.nt.nb','N.REGION','N1.REGION','N2.REGION', 'P5.D1.nt.nb', 'P3.D1.nt.nb', 'N2.REGION.nt.nb', 'P5.D2.nt.nb', 'P3.D2.nt.nb', 'N3.REGION.nt.nb', 'P5.D3.nt.nb', 'P3.D2.nt.nb', 'N4.REGION.nt.nb', 'X5.D1.REGION.trimmed.nt.nb', 'X3.D1.REGION.trimmed.nt.nb', 'X5.D2.REGION.trimmed.nt.nb', 'X3.D2.REGION.trimmed.nt.nb', 'X5.D3.REGION.trimmed.nt.nb', 'X3.D3.REGION.trimmed.nt.nb', 'D.REGION.nt.nb', 'D1.REGION.nt.nb', 'D2.REGION.nt.nb', 'D3.REGION.nt.nb')]
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55
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56 names(out) = c('ID','VDJ Frame','Top V Gene','Top D Gene','Top J Gene','CDR1 Seq','CDR1 Length','CDR2 Seq','CDR2 Length','CDR3 Seq','CDR3 Length','CDR3 Seq DNA','CDR3 Length DNA','Strand','CDR3 Found How','Functionality','V-REGION identity %','V-REGION identity nt','D-REGION reading frame','AA JUNCTION','Functionality comment','Sequence','FR1-IMGT','FR2-IMGT','FR3-IMGT','CDR3-IMGT','JUNCTION','J-REGION','FR4-IMGT','P3V-nt nb','N-REGION-nt nb','N1-REGION-nt nb','P5D-nt nb','P3D-nt nb','N2-REGION-nt nb','P5J-nt nb','3V-REGION trimmed-nt nb','5D-REGION trimmed-nt nb','3D-REGION trimmed-nt nb','5J-REGION trimmed-nt nb','N-REGION','N1-REGION','N2-REGION', 'P5.D1.nt.nb', 'P3.D1.nt.nb', 'N2.REGION.nt.nb', 'P5.D2.nt.nb', 'P3.D2.nt.nb', 'N3.REGION.nt.nb', 'P5.D3.nt.nb', 'P3.D2.nt.nb', 'N4.REGION.nt.nb', 'X5.D1.REGION.trimmed.nt.nb', 'X3.D1.REGION.trimmed.nt.nb', 'X5.D2.REGION.trimmed.nt.nb', 'X3.D2.REGION.trimmed.nt.nb', 'X5.D3.REGION.trimmed.nt.nb', 'X3.D3.REGION.trimmed.nt.nb', 'D.REGION.nt.nb', 'D1.REGION.nt.nb', 'D2.REGION.nt.nb', 'D3.REGION.nt.nb')
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57
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58 out[,"VDJ Frame"] = as.character(out[,"VDJ Frame"])
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59
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60 fltr = out[,"VDJ Frame"] == "in-frame"
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61 if(any(fltr)){
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62 out[fltr, "VDJ Frame"] = "In-frame"
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63 }
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64
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65 fltr = out[,"VDJ Frame"] == "null"
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66 if(any(fltr)){
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67 out[fltr, "VDJ Frame"] = "Out-of-frame"
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68 }
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69
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70 fltr = out[,"VDJ Frame"] == "out-of-frame"
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71 if(any(fltr)){
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72 out[fltr, "VDJ Frame"] = "Out-of-frame"
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73 }
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74
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75 fltr = out[,"VDJ Frame"] == ""
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76 if(any(fltr)){
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77 out[fltr, "VDJ Frame"] = "Out-of-frame"
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78 }
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79
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80 for(col in c('Top V Gene','Top D Gene','Top J Gene')){
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81 out[,col] = as.character(out[,col])
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82 fltr = out[,col] == ""
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83 fltr[is.na(fltr)] = T
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84 if(any(fltr)){
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85 out[fltr,col] = "NA"
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86 }
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87 }
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88
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89 write.table(out, out.file, sep="\t", quote=F, row.names=F, col.names=T)
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