annotate baseline/filter.r @ 50:75ee66a691a0 draft

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author davidvanzessen
date Mon, 15 May 2017 03:13:16 -0400
parents c33d93683a09
children 8728284105ee
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1 arg = commandArgs(TRUE)
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2 summaryfile = arg[1]
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3 gappedfile = arg[2]
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4 selection = arg[3]
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5 output = arg[4]
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6 print(paste("selection = ", selection))
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9 summarydat = read.table(summaryfile, header=T, sep="\t", fill=T, stringsAsFactors=F)
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10 gappeddat = read.table(gappedfile, header=T, sep="\t", fill=T, stringsAsFactors=F)
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12 #dat = data.frame(merge(gappeddat, summarydat, by="Sequence.ID", all.x=T))
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14 dat = cbind(gappeddat, summarydat$AA.JUNCTION)
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16 colnames(dat)[length(dat)] = "AA.JUNCTION"
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18 dat$VGene = gsub("^Homsap ", "", dat$V.GENE.and.allele)
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19 dat$VGene = gsub("[*].*", "", dat$VGene)
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21 dat$DGene = gsub("^Homsap ", "", dat$D.GENE.and.allele)
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22 dat$DGene = gsub("[*].*", "", dat$DGene)
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24 dat$JGene = gsub("^Homsap ", "", dat$J.GENE.and.allele)
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25 dat$JGene = gsub("[*].*", "", dat$JGene)
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27 #print(str(dat))
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29 dat$past = do.call(paste, c(dat[unlist(strsplit(selection, ","))], sep = ":"))
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31 dat = dat[!duplicated(dat$past), ]
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33 dat = dat[dat$Functionality != "No results" & dat$Functionality != "unproductive",]
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35 write.table(x=dat, file=output, sep="\t",quote=F,row.names=F,col.names=T)