--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/nt_overview.r	Mon Dec 12 12:32:44 2022 +0000
@@ -0,0 +1,74 @@
+args <- commandArgs(trailingOnly = TRUE)
+
+merged.file = args[1]
+outputdir = args[2]
+gene.classes = unlist(strsplit(args[3], ","))
+hotspot.analysis.sum.file = args[4]
+NToverview.file = paste(outputdir, "ntoverview.txt", sep="/")
+empty.region.filter = args[5]
+
+
+setwd(outputdir)
+
+merged = read.table(merged.file, header=T, sep="\t", fill=T, stringsAsFactors=F, quote="")
+hotspot.analysis.sum = read.table(hotspot.analysis.sum.file, header=F, sep=",", fill=T, stringsAsFactors=F, quote="")
+
+#ACGT overview
+
+NToverview = merged
+
+if(empty.region.filter == "leader"){
+	NToverview$seq = paste(NToverview$FR1.IMGT.seq, NToverview$CDR1.IMGT.seq, NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
+} else if(empty.region.filter == "FR1"){
+	NToverview$seq = paste(NToverview$CDR1.IMGT.seq, NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
+} else if(empty.region.filter == "CDR1"){
+	NToverview$seq = paste(NToverview$FR2.IMGT.seq, NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
+} else if(empty.region.filter == "FR2"){
+	NToverview$seq = paste(NToverview$CDR2.IMGT.seq, NToverview$FR3.IMGT.seq)
+}
+
+NToverview$A = nchar(gsub("[^Aa]", "", NToverview$seq))
+NToverview$C = nchar(gsub("[^Cc]", "", NToverview$seq))
+NToverview$G = nchar(gsub("[^Gg]", "", NToverview$seq))
+NToverview$T = nchar(gsub("[^Tt]", "", NToverview$seq))
+
+#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))
+
+#NToverview = rbind(NToverview, NTsum)
+
+NTresult = data.frame(nt=c("A", "C", "T", "G"))
+
+for(clazz in gene.classes){
+	print(paste("class:", clazz))
+	NToverview.sub = NToverview[grepl(paste("^", clazz, sep=""), NToverview$best_match),]
+	print(paste("nrow:", nrow(NToverview.sub)))
+	new.col.x = c(sum(NToverview.sub$A), sum(NToverview.sub$C), sum(NToverview.sub$T), sum(NToverview.sub$G))
+	new.col.y = sum(new.col.x)
+	new.col.z = round(new.col.x / new.col.y * 100, 2)
+	
+	tmp = names(NTresult)
+	NTresult = cbind(NTresult, data.frame(new.col.x, new.col.y, new.col.z))
+	names(NTresult) = c(tmp, paste(clazz, c("x", "y", "z"), sep=""))
+}
+
+NToverview.tmp = NToverview[,c("Sequence.ID", "best_match", "seq", "A", "C", "G", "T")]
+
+names(NToverview.tmp) = c("Sequence.ID", "best_match", "Sequence of the analysed region", "A", "C", "G", "T")
+
+write.table(NToverview.tmp, NToverview.file, quote=F, sep="\t", row.names=F, col.names=T)
+
+NToverview = NToverview[!grepl("unmatched", NToverview$best_match),]
+
+new.col.x = c(sum(NToverview$A), sum(NToverview$C), sum(NToverview$T), sum(NToverview$G))
+new.col.y = sum(new.col.x)
+new.col.z = round(new.col.x / new.col.y * 100, 2)
+
+tmp = names(NTresult)
+NTresult = cbind(NTresult, data.frame(new.col.x, new.col.y, new.col.z))
+names(NTresult) = c(tmp, paste("all", c("x", "y", "z"), sep=""))
+
+names(hotspot.analysis.sum) = names(NTresult)
+
+hotspot.analysis.sum = rbind(hotspot.analysis.sum, NTresult)
+
+write.table(hotspot.analysis.sum, hotspot.analysis.sum.file, quote=F, sep=",", row.names=F, col.names=F, na="0")