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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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31
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7 parser.add_argument("--includefr1", help="The genes available in the 'best_match' column")
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0
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8 parser.add_argument("--output", help="Output file")
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9
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10 args = parser.parse_args()
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11
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4
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12 infile = args.input
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13 genes = str(args.genes).split(",")
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32
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14 print "includefr1 =", args.includefr1
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31
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15 include_fr1 = True if args.includefr1 == "yes" else False
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4
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16 outfile = args.output
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17
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18 genedic = dict()
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0
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19
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20 mutationdic = dict()
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21 mutationMatcher = re.compile("^(.)(\d+).(.),?(.)?(\d+)?.?(.)?(.?.?.?.?.?)?")
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22 linecount = 0
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23
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4
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24 IDIndex = 0
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25 best_matchIndex = 0
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26 fr1Index = 0
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27 cdr1Index = 0
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28 fr2Index = 0
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29 cdr2Index = 0
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30 fr3Index = 0
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31 first=True
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26
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32 IDlist = []
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33 mutationList = []
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34
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4
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35 with open(infile, 'r') as i:
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36 for line in i:
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37 if first:
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38 linesplt = line.split("\t")
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39 IDIndex = linesplt.index("Sequence.ID")
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40 best_matchIndex = linesplt.index("best_match")
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41 fr1Index = linesplt.index("FR1.IMGT")
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42 cdr1Index = linesplt.index("CDR1.IMGT")
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43 fr2Index = linesplt.index("FR2.IMGT")
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44 cdr2Index = linesplt.index("CDR2.IMGT")
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45 fr3Index = linesplt.index("FR3.IMGT")
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46 first = False
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47 continue
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0
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48 linecount += 1
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49 linesplt = line.split("\t")
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4
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50 ID = linesplt[IDIndex]
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51 genedic[ID] = linesplt[best_matchIndex]
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31
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52 mutationdic[ID + "_FR1"] = [mutationMatcher.match(x).groups() for x in linesplt[fr1Index].split("|") if x] if include_fr1 else []
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4
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53 mutationdic[ID + "_CDR1"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr1Index].split("|") if x]
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54 mutationdic[ID + "_FR2"] = [mutationMatcher.match(x).groups() for x in linesplt[fr2Index].split("|") if x]
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55 mutationdic[ID + "_CDR2"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr2Index].split("|") if x]
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0
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56 mutationdic[ID + "_FR2-CDR2"] = mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"]
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4
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57 mutationdic[ID + "_FR3"] = [mutationMatcher.match(x).groups() for x in linesplt[fr3Index].split("|") if x]
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26
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58
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59 mutationList += mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"]
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60
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61 IDlist += [ID]
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62
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63
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28
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64 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
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26
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65
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66 for mutation in mutationList:
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67 if mutation[4]: #if non silent mutation
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68 AA_mutation[int(mutation[4])] += 1
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69
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70 aa_mutations_file = outfile[:outfile.rindex("/")] + "/aa_mutations.txt"
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71 with open(aa_mutations_file, 'w') as o:
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72 o.write(",".join([str(x) for x in AA_mutation]) + "\n")
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0
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73
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74 if linecount == 0:
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75 print "No data, exiting"
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76 with open(outfile, 'w') as o:
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4
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77 o.write("RGYW (%)," + ("0,0,0\n" * len(genes)))
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78 o.write("WRCY (%)," + ("0,0,0\n" * len(genes)))
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79 o.write("WA (%)," + ("0,0,0\n" * len(genes)))
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80 o.write("TW (%)," + ("0,0,0\n" * len(genes)))
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0
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81 import sys
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82 sys.exit()
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83
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84 hotspotMatcher = re.compile("[actg]+,(\d+)-(\d+)\((.*)\)")
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4
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85 RGYWCount = {g: 0 for g in genes}
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86 WRCYCount = {g: 0 for g in genes}
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87 WACount = {g: 0 for g in genes}
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88 TWCount = {g: 0 for g in genes}
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0
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89
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4
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90 IDIndex = 0
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91 ataIndex = 0
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92 tatIndex = 0
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93 aggctatIndex = 0
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94 atagcctIndex = 0
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95 first = True
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96 with open(infile, 'r') as i:
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97 for line in i:
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98 if first:
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99 linesplt = line.split("\t")
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100 ataIndex = linesplt.index("X.a.t.a")
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101 tatIndex = linesplt.index("t.a.t.")
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102 aggctatIndex = linesplt.index("X.a.g.g.c.t..a.t.")
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103 atagcctIndex = linesplt.index("X.a.t..a.g.c.c.t.")
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104 first = False
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0
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105 continue
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4
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106 linesplt = line.split("\t")
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107 gene = linesplt[best_matchIndex]
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108 ID = linesplt[IDIndex]
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109 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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110 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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111 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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112 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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28
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113 RGYWCount[ID], WRCYCount[ID], WACount[ID], TWCount[ID] = 0,0,0,0
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114
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31
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115 mutationList = (mutationdic[ID + "_FR1"] if include_fr1 else []) + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"]
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116 for mutation in mutationList:
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117 frm, where, to, AAfrm, AAwhere, AAto, junk = mutation
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118 mutation_in_RGYW = any([(start <= int(where) <= end) for (start,end,region) in RGYW])
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119 mutation_in_WRCY = any([(start <= int(where) <= end) for (start,end,region) in WRCY])
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120 mutation_in_WA = any([(start <= int(where) <= end) for (start,end,region) in WA])
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121 mutation_in_TW = any([(start <= int(where) <= end) for (start,end,region) in TW])
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122
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123 in_how_many_motifs = sum([mutation_in_RGYW, mutation_in_WRCY, mutation_in_WA, mutation_in_TW])
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124
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125 if in_how_many_motifs > 0:
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126 RGYWCount[ID] += (1.0 * int(mutation_in_RGYW)) / in_how_many_motifs
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127 WRCYCount[ID] += (1.0 * int(mutation_in_WRCY)) / in_how_many_motifs
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128 WACount[ID] += (1.0 * int(mutation_in_WA)) / in_how_many_motifs
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129 TWCount[ID] += (1.0 * int(mutation_in_TW)) / in_how_many_motifs
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0
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130
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4
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131 directory = outfile[:outfile.rfind("/") + 1]
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22
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132 value = 0
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4
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133 valuedic = dict()
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134 for gene in genes:
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135 with open(directory + gene + "_value.txt", 'r') as v:
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136 valuedic[gene] = int(v.readlines()[0].rstrip())
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137 with open(directory + "total_value.txt", 'r') as v:
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138 valuedic["total"] = int(v.readlines()[0].rstrip())
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139
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140 dic = {"RGYW": RGYWCount, "WRCY": WRCYCount, "WA": WACount, "TW": TWCount}
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141 arr = ["RGYW", "WRCY", "WA", "TW"]
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142 with open(outfile, 'w') as o:
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143 for typ in arr:
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144 o.write(typ + " (%)")
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145 curr = dic[typ]
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146 for gene in genes:
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147 geneMatcher = re.compile(".*" + gene + ".*")
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148 if valuedic[gene] is 0:
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149 o.write(",0,0,0")
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150 else:
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151 x = int(round(sum([curr[x] for x in [y for y,z in genedic.iteritems() if geneMatcher.match(z)]])))
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152 y = valuedic[gene]
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153 z = str(round(x / float(valuedic[gene]) * 100, 1))
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154 o.write("," + str(x) + "," + str(y) + "," + z)
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155 #for total
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156 x = int(round(sum([y for x,y in curr.iteritems()])))
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157 y = valuedic["total"]
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158 z = str(round(x / float(valuedic["total"]) * 100, 1))
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159 o.write("," + str(x) + "," + str(y) + "," + z + "\n")
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21
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160
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161
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162 #for testing
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163 seq_motif_file = outfile[:outfile.rindex("/")] + "/motif_per_seq.txt"
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164 first = True
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165 with open(seq_motif_file, 'w') as o:
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166 for ID in IDlist:
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167 if first:
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168 o.write("ID\tRGYWC\tWRCY\tWA\tTW\n")
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169 first = False
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170 continue
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31
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171 o.write(ID + "\t" + str(int(RGYWCount[ID])) + "\t" + str(int(WRCYCount[ID])) + "\t" + str(int(WACount[ID])) + "\t" + str(int(TWCount[ID])) + "\n")
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