Mercurial > repos > davidvanzessen > mutation_analysis
diff mutation_analysis.py @ 39:7377bf7e632d draft
Uploaded
author | davidvanzessen |
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date | Mon, 02 Nov 2015 04:52:26 -0500 |
parents | ac9a4307861a |
children | 7304b91757a8 |
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--- a/mutation_analysis.py Tue Aug 04 08:55:14 2015 -0400 +++ b/mutation_analysis.py Mon Nov 02 04:52:26 2015 -0500 @@ -2,7 +2,8 @@ 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("--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") @@ -13,7 +14,7 @@ genes = str(args.genes).split(",") print "includefr1 =", args.includefr1 include_fr1 = True if args.includefr1 == "yes" else False -outfile = args.output +outfile = args.output genedic = dict() @@ -28,58 +29,61 @@ fr2Index = 0 cdr2Index = 0 fr3Index = 0 -first=True +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] + 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"] -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 + 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 + 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") - + 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() + 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} @@ -94,78 +98,80 @@ 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 + 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 + 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()) + 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") +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 +# 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") + o.write("ID\tRGYWC\tWRCY\tWA\tTW\n") + for ID in IDlist: + 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")