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0
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1 import re
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2 import argparse
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3
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4 parser = argparse.ArgumentParser()
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4
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5 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")
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6 parser.add_argument("--genes", help="The genes available in the 'best_match' column")
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0
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7 parser.add_argument("--output", help="Output file")
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8
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9 args = parser.parse_args()
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10
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4
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11 infile = args.input
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12 genes = str(args.genes).split(",")
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13 outfile = args.output
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14
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15 genedic = dict()
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0
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16
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17 mutationdic = dict()
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18 mutationMatcher = re.compile("^(.)(\d+).(.),?(.)?(\d+)?.?(.)?(.?.?.?.?.?)?")
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19 linecount = 0
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20
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4
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21 IDIndex = 0
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22 best_matchIndex = 0
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23 fr1Index = 0
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24 cdr1Index = 0
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25 fr2Index = 0
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26 cdr2Index = 0
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27 fr3Index = 0
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28 first=True
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29 with open(infile, 'r') as i:
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30 for line in i:
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31 if first:
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32 linesplt = line.split("\t")
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33 IDIndex = linesplt.index("Sequence.ID")
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34 best_matchIndex = linesplt.index("best_match")
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35 fr1Index = linesplt.index("FR1.IMGT")
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36 cdr1Index = linesplt.index("CDR1.IMGT")
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37 fr2Index = linesplt.index("FR2.IMGT")
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38 cdr2Index = linesplt.index("CDR2.IMGT")
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39 fr3Index = linesplt.index("FR3.IMGT")
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40 first = False
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41 continue
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0
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42 linecount += 1
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43 linesplt = line.split("\t")
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4
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44 ID = linesplt[IDIndex]
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45 genedic[ID] = linesplt[best_matchIndex]
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46 mutationdic[ID + "_FR1"] = [mutationMatcher.match(x).groups() for x in linesplt[fr1Index].split("|") if x]
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47 mutationdic[ID + "_CDR1"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr1Index].split("|") if x]
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48 mutationdic[ID + "_FR2"] = [mutationMatcher.match(x).groups() for x in linesplt[fr2Index].split("|") if x]
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49 mutationdic[ID + "_CDR2"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr2Index].split("|") if x]
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0
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50 mutationdic[ID + "_FR2-CDR2"] = mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"]
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4
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51 mutationdic[ID + "_FR3"] = [mutationMatcher.match(x).groups() for x in linesplt[fr3Index].split("|") if x]
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0
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52
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53 if linecount == 0:
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54 print "No data, exiting"
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55 with open(outfile, 'w') as o:
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4
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56 o.write("RGYW (%)," + ("0,0,0\n" * len(genes)))
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57 o.write("WRCY (%)," + ("0,0,0\n" * len(genes)))
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58 o.write("WA (%)," + ("0,0,0\n" * len(genes)))
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59 o.write("TW (%)," + ("0,0,0\n" * len(genes)))
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0
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60 import sys
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61 sys.exit()
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62
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63 hotspotMatcher = re.compile("[actg]+,(\d+)-(\d+)\((.*)\)")
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4
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64 RGYWCount = {g: 0 for g in genes}
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65 WRCYCount = {g: 0 for g in genes}
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66 WACount = {g: 0 for g in genes}
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67 TWCount = {g: 0 for g in genes}
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0
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68
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4
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69 IDIndex = 0
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70 ataIndex = 0
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71 tatIndex = 0
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72 aggctatIndex = 0
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73 atagcctIndex = 0
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74 first = True
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75 with open(infile, 'r') as i:
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76 for line in i:
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77 if first:
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78 linesplt = line.split("\t")
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79 ataIndex = linesplt.index("X.a.t.a")
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80 tatIndex = linesplt.index("t.a.t.")
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81 aggctatIndex = linesplt.index("X.a.g.g.c.t..a.t.")
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82 atagcctIndex = linesplt.index("X.a.t..a.g.c.c.t.")
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83 first = False
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0
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84 continue
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4
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85 linesplt = line.split("\t")
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86 gene = linesplt[best_matchIndex]
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87 ID = linesplt[IDIndex]
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88 RGYW = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[aggctatIndex].split("|") if x]]
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89 WRCY = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[atagcctIndex].split("|") if x]]
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90 WA = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[ataIndex].split("|") if x]]
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91 TW = [(int(x),int(y),z) for (x,y,z) in [hotspotMatcher.match(x).groups() for x in linesplt[tatIndex].split("|") if x]]
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92 RGYWCount[ID] = sum([1 for (x,y,z) in RGYW if z and z != "CDR3" and any([(x <= int(where) <= y) for (frm, where, to, a,b,c,d) in mutationdic[ID + "_" + z]])])
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93 WRCYCount[ID] = sum([1 for (x,y,z) in WRCY if z and z != "CDR3" and any([(x <= int(where) <= y) for (frm, where, to, a,b,c,d) in mutationdic[ID + "_" + z]])])
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94 WACount[ID] = sum([1 for (x,y,z) in WA if z and z != "CDR3" and any([(x <= int(where) <= y) for (frm, where, to, a,b,c,d) in mutationdic[ID + "_" + z]])])
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95 TWCount[ID] = sum([1 for (x,y,z) in TW if z and z != "CDR3" and any([(x <= int(where) <= y) for (frm, where, to, a,b,c,d) in mutationdic[ID + "_" + z]])])
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0
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96
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97
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4
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98 directory = outfile[:outfile.rfind("/") + 1]
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99 value = 0;
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100 valuedic = dict()
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101 for gene in genes:
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102 with open(directory + gene + "_value.txt", 'r') as v:
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103 valuedic[gene] = int(v.readlines()[0].rstrip())
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104 with open(directory + "total_value.txt", 'r') as v:
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105 valuedic["total"] = int(v.readlines()[0].rstrip())
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106
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107 dic = {"RGYW": RGYWCount, "WRCY": WRCYCount, "WA": WACount, "TW": TWCount}
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108 arr = ["RGYW", "WRCY", "WA", "TW"]
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109 with open(outfile, 'w') as o:
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110 for typ in arr:
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111 o.write(typ + " (%)")
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112 curr = dic[typ]
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113 for gene in genes:
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114 geneMatcher = re.compile(".*" + gene + ".*")
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115 if valuedic[gene] is 0:
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116 o.write(",0,0,0")
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117 else:
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118 x = sum([curr[x] for x in [y for y,z in genedic.iteritems() if geneMatcher.match(z)]])
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119 y = valuedic[gene]
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120 z = str(round(x / float(valuedic[gene]) * 100, 1))
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121 o.write("," + str(x) + "," + str(y) + "," + z)
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122 #for total
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123 x = sum([y for x,y in curr.iteritems()])
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124 y = valuedic["total"]
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125 z = str(round(x / float(valuedic["total"]) * 100, 1))
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126 o.write("," + str(x) + "," + str(y) + "," + z + "\n")
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