--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mutation_analysis.py	Tue Aug 04 09:59:26 2015 -0400
@@ -0,0 +1,171 @@
+import re
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--input", help="The '7_V-REGION-mutation-and-AA-change-table' and '10_V-REGION-mutation-hotspots' merged together, with an added 'best_match' annotation")
+parser.add_argument("--genes", help="The genes available in the 'best_match' column")
+parser.add_argument("--includefr1", help="The genes available in the 'best_match' column")
+parser.add_argument("--output", help="Output file")
+
+args = parser.parse_args()
+
+infile = args.input
+genes = str(args.genes).split(",")
+print "includefr1 =", args.includefr1
+include_fr1 = True if args.includefr1 == "yes" else False
+outfile = args.output 
+
+genedic = dict()
+
+mutationdic = dict()
+mutationMatcher = re.compile("^(.)(\d+).(.),?(.)?(\d+)?.?(.)?(.?.?.?.?.?)?")
+linecount = 0
+
+IDIndex = 0
+best_matchIndex = 0
+fr1Index = 0
+cdr1Index = 0
+fr2Index = 0
+cdr2Index = 0
+fr3Index = 0
+first=True
+IDlist = []
+mutationList = []
+
+with open(infile, 'r') as i:
+  for line in i:
+		if first:
+			linesplt = line.split("\t")
+			IDIndex = linesplt.index("Sequence.ID")
+			best_matchIndex = linesplt.index("best_match")
+			fr1Index = linesplt.index("FR1.IMGT")
+			cdr1Index = linesplt.index("CDR1.IMGT")
+			fr2Index = linesplt.index("FR2.IMGT")
+			cdr2Index = linesplt.index("CDR2.IMGT")
+			fr3Index = linesplt.index("FR3.IMGT")
+			first = False
+			continue
+		linecount += 1
+		linesplt = line.split("\t")
+		ID = linesplt[IDIndex]
+		genedic[ID] = linesplt[best_matchIndex]
+		mutationdic[ID + "_FR1"] = [mutationMatcher.match(x).groups() for x in linesplt[fr1Index].split("|") if x] if include_fr1 else []
+		mutationdic[ID + "_CDR1"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr1Index].split("|") if x]
+		mutationdic[ID + "_FR2"] = [mutationMatcher.match(x).groups() for x in linesplt[fr2Index].split("|") if x]
+		mutationdic[ID + "_CDR2"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr2Index].split("|") if x]
+		mutationdic[ID + "_FR2-CDR2"] = mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"]
+		mutationdic[ID + "_FR3"] = [mutationMatcher.match(x).groups() for x in linesplt[fr3Index].split("|") if x]
+		
+		mutationList += mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"]
+		
+		IDlist += [ID]
+
+
+AA_mutation = [0] * (int(max(mutationList, key=lambda i:int(i[4]) if i[4] else 0)[4]) + 1) #[4] is the position of the AA mutation, None if silent
+
+for mutation in mutationList:
+	if mutation[4]: #if non silent mutation
+		AA_mutation[int(mutation[4])] += 1
+
+aa_mutations_file = outfile[:outfile.rindex("/")] + "/aa_mutations.txt"
+with open(aa_mutations_file, 'w') as o:
+	o.write(",".join([str(x) for x in AA_mutation]) + "\n")
+    
+if linecount == 0:
+	print "No data, exiting"
+	with open(outfile, 'w') as o:
+		o.write("RGYW (%)," + ("0,0,0\n" * len(genes)))
+		o.write("WRCY (%)," + ("0,0,0\n" * len(genes)))
+		o.write("WA (%)," + ("0,0,0\n" * len(genes)))
+		o.write("TW (%)," + ("0,0,0\n" * len(genes)))
+	import sys
+	sys.exit()
+
+hotspotMatcher = re.compile("[actg]+,(\d+)-(\d+)\((.*)\)")
+RGYWCount = {g: 0 for g in genes}
+WRCYCount = {g: 0 for g in genes}
+WACount = {g: 0 for g in genes}
+TWCount = {g: 0 for g in genes}
+
+IDIndex = 0
+ataIndex = 0
+tatIndex = 0
+aggctatIndex = 0
+atagcctIndex = 0
+first = True
+with open(infile, 'r') as i:
+	for line in i:
+		if first:
+			linesplt = line.split("\t")
+			ataIndex = linesplt.index("X.a.t.a")
+			tatIndex = linesplt.index("t.a.t.")
+			aggctatIndex = linesplt.index("X.a.g.g.c.t..a.t.")
+			atagcctIndex = linesplt.index("X.a.t..a.g.c.c.t.")
+			first = False
+			continue
+		linesplt = line.split("\t")
+		gene = linesplt[best_matchIndex]
+		ID = linesplt[IDIndex]
+		RGYW = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[aggctatIndex].split("|") if x]]
+		WRCY = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[atagcctIndex].split("|") if x]]
+		WA = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[ataIndex].split("|") if x]]
+		TW = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[tatIndex].split("|") if x]]
+		RGYWCount[ID], WRCYCount[ID], WACount[ID], TWCount[ID] = 0,0,0,0
+		
+		mutationList = (mutationdic[ID + "_FR1"] if include_fr1 else []) + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"]
+		for mutation in mutationList:
+			frm, where, to, AAfrm, AAwhere, AAto, junk = mutation
+			mutation_in_RGYW = any([(start <= int(where) <= end) for (start,end,region) in RGYW])
+			mutation_in_WRCY = any([(start <= int(where) <= end) for (start,end,region) in WRCY])
+			mutation_in_WA = any([(start <= int(where) <= end) for (start,end,region) in WA])
+			mutation_in_TW = any([(start <= int(where) <= end) for (start,end,region) in TW])
+			
+			in_how_many_motifs = sum([mutation_in_RGYW, mutation_in_WRCY, mutation_in_WA, mutation_in_TW])
+			
+			if in_how_many_motifs > 0:
+				RGYWCount[ID] += (1.0 * int(mutation_in_RGYW)) / in_how_many_motifs
+				WRCYCount[ID] += (1.0 * int(mutation_in_WRCY)) / in_how_many_motifs
+				WACount[ID] += (1.0 * int(mutation_in_WA)) / in_how_many_motifs
+				TWCount[ID] += (1.0 * int(mutation_in_TW)) / in_how_many_motifs
+
+directory = outfile[:outfile.rfind("/") + 1]
+value = 0
+valuedic = dict()
+for gene in genes:
+	with open(directory + gene + "_value.txt", 'r') as v:
+		valuedic[gene] = int(v.readlines()[0].rstrip())
+with open(directory + "total_value.txt", 'r') as v:
+	valuedic["total"] = int(v.readlines()[0].rstrip())
+
+dic = {"RGYW": RGYWCount, "WRCY": WRCYCount, "WA": WACount, "TW": TWCount}
+arr = ["RGYW", "WRCY", "WA", "TW"]
+with open(outfile, 'w') as o:	
+	for typ in arr:
+		o.write(typ + " (%)")
+		curr = dic[typ]
+		for gene in genes:
+			geneMatcher = re.compile(".*" + gene + ".*")
+			if valuedic[gene] is 0:
+				o.write(",0,0,0")
+			else:
+				x = int(round(sum([curr[x] for x in [y for y,z in genedic.iteritems() if geneMatcher.match(z)]])))
+				y = valuedic[gene]
+				z = str(round(x / float(valuedic[gene]) * 100, 1))
+				o.write("," + str(x) + "," + str(y) + "," + z)
+		#for total
+		x = int(round(sum([y for x,y in curr.iteritems()])))
+		y = valuedic["total"]
+		z = str(round(x / float(valuedic["total"]) * 100, 1))
+		o.write("," + str(x) + "," + str(y) + "," + z + "\n")
+
+
+#for testing
+seq_motif_file = outfile[:outfile.rindex("/")] + "/motif_per_seq.txt"
+first = True
+with open(seq_motif_file, 'w') as o:
+	for ID in IDlist:
+		if first:
+			o.write("ID\tRGYWC\tWRCY\tWA\tTW\n")
+			first = False
+			continue
+		o.write(ID + "\t" + str(round(RGYWCount[ID], 2)) + "\t" + str(round(WRCYCount[ID], 2)) + "\t" + str(round(WACount[ID], 2)) + "\t" + str(round(TWCount[ID], 2)) + "\n")