--- a/aa_histogram.r	Thu Feb 25 10:32:32 2021 +0000
+++ b/aa_histogram.r	Wed Sep 15 12:24:06 2021 +0000
@@ -1,69 +1,69 @@
-library(ggplot2)
-
-args <- commandArgs(trailingOnly = TRUE)
-
-mutations.by.id.file = args[1]
-absent.aa.by.id.file = args[2]
-genes = strsplit(args[3], ",")[[1]]
-genes = c(genes, "")
-outdir = args[4]
-
-
-print("---------------- read input ----------------")
-
-mutations.by.id = read.table(mutations.by.id.file, sep="\t", fill=T, header=T, quote="")
-absent.aa.by.id = read.table(absent.aa.by.id.file, sep="\t", fill=T, header=T, quote="")
-
-for(gene in genes){
-	graph.title = paste(gene, "AA mutation frequency")
-	if(gene == ""){
-		mutations.by.id.gene = mutations.by.id[!grepl("unmatched", mutations.by.id$best_match),]
-		absent.aa.by.id.gene = absent.aa.by.id[!grepl("unmatched", absent.aa.by.id$best_match),]
-		
-		graph.title = "AA mutation frequency all"
-	} else {
-		mutations.by.id.gene = mutations.by.id[grepl(paste("^", gene, sep=""), mutations.by.id$best_match),]
-		absent.aa.by.id.gene = absent.aa.by.id[grepl(paste("^", gene, sep=""), absent.aa.by.id$best_match),]
-	}
-	print(paste("nrow", gene, nrow(absent.aa.by.id.gene)))
-	if(nrow(mutations.by.id.gene) == 0){
-		next
-	}
-
-	mutations.at.position = colSums(mutations.by.id.gene[,-c(1,2)])
-	aa.at.position = colSums(absent.aa.by.id.gene[,-c(1,2,3,4)])
-
-	dat_freq = mutations.at.position / aa.at.position
-	dat_freq[is.na(dat_freq)] = 0
-	dat_dt = data.frame(i=1:length(dat_freq), freq=dat_freq)
-	
-
-	print("---------------- plot ----------------")
-
-	m = ggplot(dat_dt, aes(x=i, y=freq)) + theme(axis.text.x = element_text(angle = 90, hjust = 1), text = element_text(size=13, colour="black"))
-	m = m + geom_bar(stat="identity", colour = "black", fill = "darkgrey", alpha=0.8) + scale_x_continuous(breaks=dat_dt$i, labels=dat_dt$i)
-	m = m + annotate("segment", x = 0.5, y = -0.05, xend=26.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 13, y = -0.1, label="FR1")
-	m = m + annotate("segment", x = 26.5, y = -0.07, xend=38.5, yend=-0.07, colour="darkblue", size=1) + annotate("text", x = 32.5, y = -0.15, label="CDR1")
-	m = m + annotate("segment", x = 38.5, y = -0.05, xend=55.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 47, y = -0.1, label="FR2")
-	m = m + annotate("segment", x = 55.5, y = -0.07, xend=65.5, yend=-0.07, colour="darkblue", size=1) + annotate("text", x = 60.5, y = -0.15, label="CDR2")
-	m = m + annotate("segment", x = 65.5, y = -0.05, xend=104.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 85, y = -0.1, label="FR3")
-	m = m + expand_limits(y=c(-0.1,1)) + xlab("AA position") + ylab("Frequency") + ggtitle(graph.title) 
-	m = m + theme(panel.background = element_rect(fill = "white", colour="black"), panel.grid.major.y = element_line(colour = "black"), panel.grid.major.x = element_blank())
-	#m = m + scale_colour_manual(values=c("black"))
-
-	print("---------------- write/print ----------------")
-
-
-	dat.sums = data.frame(index=1:length(mutations.at.position), mutations.at.position=mutations.at.position, aa.at.position=aa.at.position)
-
-	write.table(dat.sums, paste(outdir, "/aa_histogram_sum_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
-	write.table(mutations.by.id.gene, paste(outdir, "/aa_histogram_count_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
-	write.table(absent.aa.by.id.gene, paste(outdir, "/aa_histogram_absent_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
-	write.table(dat_dt, paste(outdir, "/aa_histogram_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
-	
-	png(filename=paste(outdir, "/aa_histogram_", gene, ".png", sep=""), width=1280, height=720)
-	print(m)
-	dev.off()
-	
-	ggsave(paste(outdir, "/aa_histogram_", gene, ".pdf", sep=""), m, width=14, height=7)
-}
+library(ggplot2)
+
+args <- commandArgs(trailingOnly = TRUE)
+
+mutations.by.id.file = args[1]
+absent.aa.by.id.file = args[2]
+genes = strsplit(args[3], ",")[[1]]
+genes = c(genes, "")
+outdir = args[4]
+
+
+print("---------------- read input ----------------")
+
+mutations.by.id = read.table(mutations.by.id.file, sep="\t", fill=T, header=T, quote="")
+absent.aa.by.id = read.table(absent.aa.by.id.file, sep="\t", fill=T, header=T, quote="")
+
+for(gene in genes){
+	graph.title = paste(gene, "AA mutation frequency")
+	if(gene == ""){
+		mutations.by.id.gene = mutations.by.id[!grepl("unmatched", mutations.by.id$best_match),]
+		absent.aa.by.id.gene = absent.aa.by.id[!grepl("unmatched", absent.aa.by.id$best_match),]
+		
+		graph.title = "AA mutation frequency all"
+	} else {
+		mutations.by.id.gene = mutations.by.id[grepl(paste("^", gene, sep=""), mutations.by.id$best_match),]
+		absent.aa.by.id.gene = absent.aa.by.id[grepl(paste("^", gene, sep=""), absent.aa.by.id$best_match),]
+	}
+	print(paste("nrow", gene, nrow(absent.aa.by.id.gene)))
+	if(nrow(mutations.by.id.gene) == 0){
+		next
+	}
+
+	mutations.at.position = colSums(mutations.by.id.gene[,-c(1,2)])
+	aa.at.position = colSums(absent.aa.by.id.gene[,-c(1,2,3,4)])
+
+	dat_freq = mutations.at.position / aa.at.position
+	dat_freq[is.na(dat_freq)] = 0
+	dat_dt = data.frame(i=1:length(dat_freq), freq=dat_freq)
+	
+
+	print("---------------- plot ----------------")
+
+	m = ggplot(dat_dt, aes(x=i, y=freq)) + theme(axis.text.x = element_text(angle = 90, hjust = 1), text = element_text(size=13, colour="black"))
+	m = m + geom_bar(stat="identity", colour = "black", fill = "darkgrey", alpha=0.8) + scale_x_continuous(breaks=dat_dt$i, labels=dat_dt$i)
+	m = m + annotate("segment", x = 0.5, y = -0.05, xend=26.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 13, y = -0.1, label="FR1")
+	m = m + annotate("segment", x = 26.5, y = -0.07, xend=38.5, yend=-0.07, colour="darkblue", size=1) + annotate("text", x = 32.5, y = -0.15, label="CDR1")
+	m = m + annotate("segment", x = 38.5, y = -0.05, xend=55.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 47, y = -0.1, label="FR2")
+	m = m + annotate("segment", x = 55.5, y = -0.07, xend=65.5, yend=-0.07, colour="darkblue", size=1) + annotate("text", x = 60.5, y = -0.15, label="CDR2")
+	m = m + annotate("segment", x = 65.5, y = -0.05, xend=104.5, yend=-0.05, colour="darkgreen", size=1) + annotate("text", x = 85, y = -0.1, label="FR3")
+	m = m + expand_limits(y=c(-0.1,1)) + xlab("AA position") + ylab("Frequency") + ggtitle(graph.title) 
+	m = m + theme(panel.background = element_rect(fill = "white", colour="black"), panel.grid.major.y = element_line(colour = "black"), panel.grid.major.x = element_blank())
+	#m = m + scale_colour_manual(values=c("black"))
+
+	print("---------------- write/print ----------------")
+
+
+	dat.sums = data.frame(index=1:length(mutations.at.position), mutations.at.position=mutations.at.position, aa.at.position=aa.at.position)
+
+	write.table(dat.sums, paste(outdir, "/aa_histogram_sum_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
+	write.table(mutations.by.id.gene, paste(outdir, "/aa_histogram_count_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
+	write.table(absent.aa.by.id.gene, paste(outdir, "/aa_histogram_absent_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
+	write.table(dat_dt, paste(outdir, "/aa_histogram_", gene, ".txt", sep=""), sep="\t",quote=F,row.names=F,col.names=T)
+	
+	png(filename=paste(outdir, "/aa_histogram_", gene, ".png", sep=""), width=1280, height=720)
+	print(m)
+	dev.off()
+	
+	ggsave(paste(outdir, "/aa_histogram_", gene, ".pdf", sep=""), m, width=14, height=7)
+}