Mercurial > repos > rhpvorderman > shm_csr
annotate shm_csr.py @ 6:ea9d5fc4c001 draft default tip
"planemo upload commit 9ada186a78831ca2618ec817a23a77de6adf1a5d"
| author | rhpvorderman |
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| date | Wed, 22 Dec 2021 11:29:16 +0000 |
| parents | 64d74ba01a7c |
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| rev | line source |
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1 import argparse |
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2 import logging |
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3 import sys |
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4 import os |
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5 import typing |
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6 from typing import Optional |
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7 |
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8 from collections import defaultdict |
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9 |
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10 REGION_FILTERS = ("leader", "FR1", "CDR1", "FR2", "CDR2") |
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11 |
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12 |
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13 class Mutation(typing.NamedTuple): |
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14 """Represent a mutation type as a tuple""" |
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15 frm: str # 'from' is a reserved python keyword. |
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16 where: int |
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17 to: str |
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18 frmAA: Optional[str] = None |
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19 whereAA: Optional[int] = None |
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20 toAA: Optional[str] = None |
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21 thing: Optional[str] = None # '(---)' or '(+-+)' etc. No idea |
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22 |
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23 @classmethod |
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24 def from_string(cls, string: str): |
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25 # Complete mutation example: a88>g,I30>V(+ - +) |
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26 # Only nucleotide example: g303>t |
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27 if ',' in string: |
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28 nucleotide_change, aa_change = string.split(',', maxsplit=1) # type: str, Optional[str] |
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29 else: |
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30 nucleotide_change = string |
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31 aa_change = None |
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32 frm_part, to = nucleotide_change.split('>', maxsplit=1) |
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33 frm = frm_part[0] |
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34 where = int(frm_part[1:]) |
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35 |
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36 if aa_change is None: |
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37 return cls(frm, where, to) |
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38 |
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39 frmAA_part, toAA_part = aa_change.split('>', maxsplit=1) # type: str, str |
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40 frmAA = frmAA_part[0] |
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41 whereAA = int(frmAA_part[1:]) |
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42 brace_start = toAA_part.index('(') |
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43 toAA = toAA_part[:brace_start] |
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44 thing = toAA_part[brace_start:] |
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45 return cls(frm, where, to, frmAA, whereAA, toAA, thing) |
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46 |
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47 |
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48 class Hotspot(typing.NamedTuple): |
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49 start: int |
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50 end: int |
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51 region: str |
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52 |
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53 @classmethod |
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54 def from_string(cls, string): |
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55 # Example: aa,40-41(FR1) |
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56 sequence, rest = string.split(',') # type: str, str |
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57 brace_pos = rest.index('(') |
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58 numbers = rest[:brace_pos] |
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59 start, end = numbers.split('-') |
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60 region = rest[brace_pos + 1:-1] # Remove the braces |
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61 return cls(int(start), int(end), region) |
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62 |
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63 |
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64 def main(): |
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65 parser = argparse.ArgumentParser() |
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66 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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67 parser.add_argument("--genes", help="The genes available in the 'best_match' column") |
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68 parser.add_argument("--empty_region_filter", help="Where does the sequence start?", choices=REGION_FILTERS) |
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69 parser.add_argument("--output", help="Output file") |
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70 |
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71 args = parser.parse_args() |
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72 |
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73 infile = args.input |
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74 genes = str(args.genes).split(",") |
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75 empty_region_filter = args.empty_region_filter |
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76 outfile = args.output |
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77 |
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78 genedic = dict() |
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79 |
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80 mutationdic = dict() |
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81 NAMatchResult = (None, None, None, None, None, None, '') |
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82 linecount = 0 |
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83 |
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84 IDIndex = 0 |
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85 best_matchIndex = 0 |
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86 fr1Index = 0 |
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87 cdr1Index = 0 |
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88 fr2Index = 0 |
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89 cdr2Index = 0 |
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90 fr3Index = 0 |
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91 first = True |
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92 IDlist = [] |
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93 mutationList = [] |
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94 mutationListByID = {} |
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95 cdr1AALengthDic = {} |
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96 cdr2AALengthDic = {} |
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97 |
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98 LengthDic = {} |
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99 |
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100 cdr1LengthIndex = 0 |
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101 cdr2LengthIndex = 0 |
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102 |
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103 tandem_sum_by_class = defaultdict(int) |
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104 expected_tandem_sum_by_class = defaultdict(float) |
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105 |
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106 with open(infile, 'r') as i: |
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107 for line in i: |
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108 if first: |
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109 linesplt = line.split("\t") |
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110 IDIndex = linesplt.index("Sequence.ID") |
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111 best_matchIndex = linesplt.index("best_match") |
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112 fr1Index = linesplt.index("FR1.IMGT") |
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113 cdr1Index = linesplt.index("CDR1.IMGT") |
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114 fr2Index = linesplt.index("FR2.IMGT") |
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115 cdr2Index = linesplt.index("CDR2.IMGT") |
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116 fr3Index = linesplt.index("FR3.IMGT") |
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117 fr1LengthIndex = linesplt.index("FR1.IMGT.Nb.of.nucleotides") |
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118 fr2LengthIndex = linesplt.index("FR2.IMGT.Nb.of.nucleotides") |
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119 fr3LengthIndex = linesplt.index("FR3.IMGT.Nb.of.nucleotides") |
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120 cdr1LengthIndex = linesplt.index("CDR1.IMGT.Nb.of.nucleotides") |
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121 cdr2LengthIndex = linesplt.index("CDR2.IMGT.Nb.of.nucleotides") |
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122 cdr1AALengthIndex = linesplt.index("CDR1.IMGT.length") |
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123 cdr2AALengthIndex = linesplt.index("CDR2.IMGT.length") |
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124 first = False |
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125 continue |
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126 linecount += 1 |
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127 linesplt = line.split("\t") |
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128 ID = linesplt[IDIndex] |
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129 genedic[ID] = linesplt[best_matchIndex] |
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130 |
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131 mutationdic[ID + "_FR1"] = [] |
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132 if len(linesplt[fr1Index]) > 5 and empty_region_filter == "leader": |
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133 mutationdic[ID + "_FR1"] = [Mutation.from_string(x) for x in linesplt[fr1Index].split("|") if x] |
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134 |
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135 mutationdic[ID + "_CDR1"] = [] |
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136 if len(linesplt[cdr1Index]) > 5 and empty_region_filter in ["leader", "FR1"]: |
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137 mutationdic[ID + "_CDR1"] = [Mutation.from_string(x) for x in linesplt[cdr1Index].split("|") if x] |
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138 |
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139 mutationdic[ID + "_FR2"] = [] |
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140 if len(linesplt[fr2Index]) > 5 and empty_region_filter in ["leader", "FR1", "CDR1"]: |
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141 mutationdic[ID + "_FR2"] = [Mutation.from_string(x) for x in linesplt[fr2Index].split("|") if x] |
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142 |
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143 mutationdic[ID + "_CDR2"] = [] |
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144 if len(linesplt[cdr2Index]) > 5: |
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145 mutationdic[ID + "_CDR2"] = [Mutation.from_string(x) for x in linesplt[cdr2Index].split("|") if x] |
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146 |
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147 mutationdic[ID + "_FR2-CDR2"] = mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] |
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148 |
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149 mutationdic[ID + "_FR3"] = [] |
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150 if len(linesplt[fr3Index]) > 5: |
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151 mutationdic[ID + "_FR3"] = [Mutation.from_string(x) for x in linesplt[fr3Index].split("|") if x] |
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152 |
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153 mutationList += mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] |
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154 mutationListByID[ID] = mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] |
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155 |
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156 fr1Length = int(linesplt[fr1LengthIndex]) |
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157 fr2Length = int(linesplt[fr2LengthIndex]) |
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158 fr3Length = int(linesplt[fr3LengthIndex]) |
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159 cdr1Length = int(linesplt[cdr1LengthIndex]) |
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160 cdr2Length = int(linesplt[cdr2LengthIndex]) |
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161 LengthDic[ID] = (fr1Length, cdr1Length, fr2Length, cdr2Length, fr3Length) |
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162 |
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163 cdr1AALengthDic[ID] = int(linesplt[cdr1AALengthIndex]) |
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164 cdr2AALengthDic[ID] = int(linesplt[cdr2AALengthIndex]) |
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165 |
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166 IDlist += [ID] |
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167 print("len(mutationdic) =", len(mutationdic)) |
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168 |
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169 with open(os.path.join(os.path.dirname(os.path.abspath(infile)), "mutationdict.txt"), 'w') as out_handle: |
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170 for ID, lst in mutationdic.items(): |
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171 for mut in lst: |
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172 out_handle.write("{0}\t{1}\n".format(ID, "\t".join([str(x) for x in mut]))) |
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173 |
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174 #tandem mutation stuff |
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175 tandem_frequency = defaultdict(int) |
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176 mutation_frequency = defaultdict(int) |
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177 |
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178 mutations_by_id_dic = {} |
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179 first = True |
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180 mutation_by_id_file = os.path.join(os.path.dirname(outfile), "mutation_by_id.txt") |
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181 with open(mutation_by_id_file, 'r') as mutation_by_id: |
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182 for l in mutation_by_id: |
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183 if first: |
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184 first = False |
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185 continue |
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186 splt = l.split("\t") |
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187 mutations_by_id_dic[splt[0]] = int(splt[1]) |
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188 |
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189 tandem_file = os.path.join(os.path.dirname(outfile), "tandems_by_id.txt") |
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190 with open(tandem_file, 'w') as o: |
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191 highest_tandem_length = 0 |
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192 # LengthDic stores length as a tuple |
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193 # (fr1Length, cdr1Length, fr2Length, cdr2Length, fr3Length) |
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194 # To get the total length, we can sum(region_lengths) |
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195 # To get the total length for leader: |
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196 # sum(region_lengths[0:]) (Equivalent to everything) |
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197 # sum(region_lengths[1:]) Gets everything except FR1 etc. |
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198 # We determine the position to start summing below. |
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199 # This returns 0 for leader, 1 for FR1 etc. |
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200 length_start_pos = REGION_FILTERS.index(empty_region_filter) |
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201 |
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202 o.write("Sequence.ID\tnumber_of_mutations\tnumber_of_tandems\tregion_length\texpected_tandems\tlongest_tandem\ttandems\n") |
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203 for ID in IDlist: |
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204 mutations = mutationListByID[ID] |
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205 region_length = sum(LengthDic[ID][length_start_pos:]) |
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206 if len(mutations) == 0: |
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207 continue |
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208 last_mut = max(mutations, key=lambda x: int(x[1])) |
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209 |
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210 last_mut_pos = int(last_mut[1]) |
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211 |
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212 mut_positions = [False] * (last_mut_pos + 1) |
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213 |
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214 for mutation in mutations: |
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215 frm, where, to, frmAA, whereAA, toAA, thing = mutation |
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216 where = int(where) |
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217 mut_positions[where] = True |
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218 |
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219 tandem_muts = [] |
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220 tandem_start = -1 |
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221 tandem_length = 0 |
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222 for i in range(len(mut_positions)): |
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223 if mut_positions[i]: |
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224 if tandem_start == -1: |
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225 tandem_start = i |
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226 tandem_length += 1 |
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227 #print "".join(["1" if x else "0" for x in mut_positions[:i+1]]) |
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228 else: |
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229 if tandem_length > 1: |
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230 tandem_muts.append((tandem_start, tandem_length)) |
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231 #print "{0}{1} {2}:{3}".format(" " * (i - tandem_length), "^" * tandem_length, tandem_start, tandem_length) |
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232 tandem_start = -1 |
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233 tandem_length = 0 |
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234 if tandem_length > 1: # if the sequence ends with a tandem mutation |
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235 tandem_muts.append((tandem_start, tandem_length)) |
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236 |
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237 if len(tandem_muts) > 0: |
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238 if highest_tandem_length < len(tandem_muts): |
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239 highest_tandem_length = len(tandem_muts) |
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240 |
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241 longest_tandem = max(tandem_muts, key=lambda x: x[1]) if len(tandem_muts) else (0, 0) |
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242 num_mutations = mutations_by_id_dic[ID] # len(mutations) |
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243 f_num_mutations = float(num_mutations) |
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244 num_tandem_muts = len(tandem_muts) |
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245 expected_tandem_muts = f_num_mutations * (f_num_mutations - 1.0) / float(region_length) |
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246 # String format and round disagree slightly (see 3.605). |
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247 # So round before formatting. |
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248 o.write(f"{ID}\t{num_mutations}\t{num_tandem_muts}\t{region_length}\t" |
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249 f"{round(expected_tandem_muts, 2):.2f}\t" |
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250 f"{longest_tandem[1]}\t{tandem_muts}\n") |
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251 gene = genedic[ID] |
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252 if gene.find("unmatched") == -1: |
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253 tandem_sum_by_class[gene] += num_tandem_muts |
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254 expected_tandem_sum_by_class[gene] += expected_tandem_muts |
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255 |
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256 tandem_sum_by_class["all"] += num_tandem_muts |
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257 expected_tandem_sum_by_class["all"] += expected_tandem_muts |
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258 |
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259 gene = gene[:3] |
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260 if gene in ["IGA", "IGG"]: |
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261 tandem_sum_by_class[gene] += num_tandem_muts |
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262 expected_tandem_sum_by_class[gene] += expected_tandem_muts |
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263 else: |
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264 tandem_sum_by_class["unmatched"] += num_tandem_muts |
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265 expected_tandem_sum_by_class["unmatched"] += expected_tandem_muts |
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266 |
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267 |
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268 for tandem_mut in tandem_muts: |
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269 tandem_frequency[str(tandem_mut[1])] += 1 |
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270 #print "\t".join([ID, str(len(tandem_muts)), str(longest_tandem[1]) , str(tandem_muts)]) |
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271 |
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272 tandem_freq_file = os.path.join(os.path.dirname(outfile), "tandem_frequency.txt") |
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273 with open(tandem_freq_file, 'w') as o: |
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274 for frq in sorted([int(x) for x in list(tandem_frequency.keys())]): |
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275 o.write("{0}\t{1}\n".format(frq, tandem_frequency[str(frq)])) |
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276 |
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277 tandem_row = [] |
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278 genes_extra = list(genes) |
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279 genes_extra.append("all") |
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280 for x, y, in zip([tandem_sum_by_class[x] for x in genes_extra], [expected_tandem_sum_by_class[x] for x in genes_extra]): |
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281 if y != 0: |
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282 tandem_row += [x, round(y, 2), round(x / y, 2)] |
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283 else: |
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284 tandem_row += [x, round(y, 2), 0] |
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285 |
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286 tandem_freq_file = os.path.join(os.path.dirname(outfile), "shm_overview_tandem_row.txt") |
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287 with open(tandem_freq_file, 'w') as o: |
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288 o.write("Tandems/Expected (ratio),{0}\n".format(",".join([str(x) for x in tandem_row]))) |
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289 |
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290 #print mutationList, linecount |
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291 |
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292 AALength = (int(max(mutationList, key=lambda i: int(i[4]) if i[4] and i[5] != ";" else 0)[4]) + 1) # [4] is the position of the AA mutation, None if silent |
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293 if AALength < 60: |
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294 AALength = 64 |
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295 |
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296 AA_mutation = [0] * AALength |
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297 AA_mutation_dic = {"IGA": AA_mutation[:], "IGG": AA_mutation[:], "IGM": AA_mutation[:], "IGE": AA_mutation[:], "unm": AA_mutation[:], "all": AA_mutation[:]} |
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298 AA_mutation_empty = AA_mutation[:] |
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299 |
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300 print("AALength:", AALength) |
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301 aa_mutations_by_id_file = outfile[:outfile.rindex("/")] + "/aa_id_mutations.txt" |
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302 with open(aa_mutations_by_id_file, 'w') as o: |
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303 o.write("ID\tbest_match\t" + "\t".join([str(x) for x in range(1,AALength)]) + "\n") |
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304 for ID in list(mutationListByID.keys()): |
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305 AA_mutation_for_ID = AA_mutation_empty[:] |
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306 for mutation in mutationListByID[ID]: |
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307 if mutation[4] and mutation[5] != ";": |
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308 AA_mutation_position = int(mutation[4]) |
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309 try: |
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310 AA_mutation[AA_mutation_position] += 1 |
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311 AA_mutation_for_ID[AA_mutation_position] += 1 |
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312 except Exception as e: |
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313 print(e) |
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314 print(mutation) |
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315 sys.exit() |
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316 clss = genedic[ID][:3] |
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317 AA_mutation_dic[clss][AA_mutation_position] += 1 |
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318 o.write(ID + "\t" + genedic[ID] + "\t" + "\t".join([str(x) for x in AA_mutation_for_ID[1:]]) + "\n") |
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319 |
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320 |
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321 |
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322 #absent AA stuff |
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323 absentAACDR1Dic = defaultdict(list) |
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324 absentAACDR1Dic[5] = list(range(29,36)) |
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325 absentAACDR1Dic[6] = list(range(29,35)) |
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326 absentAACDR1Dic[7] = list(range(30,35)) |
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327 absentAACDR1Dic[8] = list(range(30,34)) |
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328 absentAACDR1Dic[9] = list(range(31,34)) |
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329 absentAACDR1Dic[10] = list(range(31,33)) |
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330 absentAACDR1Dic[11] = [32] |
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331 |
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332 absentAACDR2Dic = defaultdict(list) |
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333 absentAACDR2Dic[0] = list(range(55,65)) |
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334 absentAACDR2Dic[1] = list(range(56,65)) |
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335 absentAACDR2Dic[2] = list(range(56,64)) |
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336 absentAACDR2Dic[3] = list(range(57,64)) |
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337 absentAACDR2Dic[4] = list(range(57,63)) |
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338 absentAACDR2Dic[5] = list(range(58,63)) |
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339 absentAACDR2Dic[6] = list(range(58,62)) |
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340 absentAACDR2Dic[7] = list(range(59,62)) |
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341 absentAACDR2Dic[8] = list(range(59,61)) |
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342 absentAACDR2Dic[9] = [60] |
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343 |
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344 absentAA = [len(IDlist)] * (AALength-1) |
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345 for k, cdr1Length in cdr1AALengthDic.items(): |
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346 for c in absentAACDR1Dic[cdr1Length]: |
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347 absentAA[c] -= 1 |
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348 |
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349 for k, cdr2Length in cdr2AALengthDic.items(): |
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350 for c in absentAACDR2Dic[cdr2Length]: |
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351 absentAA[c] -= 1 |
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352 |
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353 |
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354 aa_mutations_by_id_file = outfile[:outfile.rindex("/")] + "/absent_aa_id.txt" |
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355 with open(aa_mutations_by_id_file, 'w') as o: |
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356 o.write("ID\tcdr1length\tcdr2length\tbest_match\t" + "\t".join([str(x) for x in range(1,AALength)]) + "\n") |
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357 for ID in IDlist: |
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358 absentAAbyID = [1] * (AALength-1) |
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359 cdr1Length = cdr1AALengthDic[ID] |
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360 for c in absentAACDR1Dic[cdr1Length]: |
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361 absentAAbyID[c] -= 1 |
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362 |
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363 cdr2Length = cdr2AALengthDic[ID] |
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364 for c in absentAACDR2Dic[cdr2Length]: |
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365 absentAAbyID[c] -= 1 |
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366 o.write(ID + "\t" + str(cdr1Length) + "\t" + str(cdr2Length) + "\t" + genedic[ID] + "\t" + "\t".join([str(x) for x in absentAAbyID]) + "\n") |
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367 |
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368 if linecount == 0: |
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369 print("No data, exiting") |
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370 with open(outfile, 'w') as o: |
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371 o.write("RGYW (%)," + ("0,0,0\n" * len(genes))) |
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372 o.write("WRCY (%)," + ("0,0,0\n" * len(genes))) |
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373 o.write("WA (%)," + ("0,0,0\n" * len(genes))) |
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374 o.write("TW (%)," + ("0,0,0\n" * len(genes))) |
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375 sys.exit() |
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376 |
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377 RGYWCount = {} |
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378 WRCYCount = {} |
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379 WACount = {} |
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380 TWCount = {} |
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381 |
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382 #IDIndex = 0 |
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383 ataIndex = 0 |
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384 tatIndex = 0 |
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385 aggctatIndex = 0 |
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386 atagcctIndex = 0 |
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387 first = True |
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388 with open(infile, 'r') as i: |
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389 for line in i: |
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390 if first: |
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391 linesplt = line.split("\t") |
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392 ataIndex = linesplt.index("X.a.t.a") |
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393 tatIndex = linesplt.index("t.a.t.") |
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394 aggctatIndex = linesplt.index("X.a.g.g.c.t..a.t.") |
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395 atagcctIndex = linesplt.index("X.a.t..a.g.c.c.t.") |
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396 first = False |
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397 continue |
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398 linesplt = line.split("\t") |
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399 gene = linesplt[best_matchIndex] |
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400 ID = linesplt[IDIndex] |
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401 RGYW = [Hotspot.from_string(x) for x in linesplt[aggctatIndex].split("|") if x] |
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402 WRCY = [Hotspot.from_string(x) for x in linesplt[atagcctIndex].split("|") if x] |
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403 WA = [Hotspot.from_string(x) for x in linesplt[ataIndex].split("|") if x] |
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404 TW = [Hotspot.from_string(x) for x in linesplt[tatIndex].split("|") if x] |
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405 RGYWCount[ID], WRCYCount[ID], WACount[ID], TWCount[ID] = 0, 0, 0, 0 |
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406 |
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407 with open(os.path.join(os.path.dirname(os.path.abspath(infile)), "RGYW.txt"), 'a') as out_handle: |
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408 for hotspot in RGYW: |
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409 out_handle.write("{0}\t{1}\n".format(ID, "\t".join([str(x) for x in hotspot]))) |
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410 |
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411 mutationList = mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] |
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412 for mutation in mutationList: |
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413 frm, where, to, AAfrm, AAwhere, AAto, junk = mutation |
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414 mutation_in_RGYW = any(((start <= int(where) <= end) for (start, end, region) in RGYW)) |
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415 mutation_in_WRCY = any(((start <= int(where) <= end) for (start, end, region) in WRCY)) |
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416 mutation_in_WA = any(((start <= int(where) <= end) for (start, end, region) in WA)) |
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417 mutation_in_TW = any(((start <= int(where) <= end) for (start, end, region) in TW)) |
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418 |
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419 in_how_many_motifs = sum([mutation_in_RGYW, mutation_in_WRCY, mutation_in_WA, mutation_in_TW]) |
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420 |
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421 if in_how_many_motifs > 0: |
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422 RGYWCount[ID] += (1.0 * int(mutation_in_RGYW)) / in_how_many_motifs |
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423 WRCYCount[ID] += (1.0 * int(mutation_in_WRCY)) / in_how_many_motifs |
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424 WACount[ID] += (1.0 * int(mutation_in_WA)) / in_how_many_motifs |
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425 TWCount[ID] += (1.0 * int(mutation_in_TW)) / in_how_many_motifs |
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426 |
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427 mutations_in_motifs_file = os.path.join(os.path.dirname(os.path.abspath(infile)), "mutation_in_motifs.txt") |
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428 if not os.path.exists(mutation_by_id_file): |
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429 with open(mutations_in_motifs_file, 'w') as out_handle: |
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430 out_handle.write("{0}\n".format("\t".join([ |
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431 "Sequence.ID", |
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432 "mutation_position", |
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433 "region", |
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434 "from_nt", |
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435 "to_nt", |
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436 "mutation_position_AA", |
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437 "from_AA", |
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438 "to_AA", |
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439 "motif", |
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440 "motif_start_nt", |
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441 "motif_end_nt", |
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442 "rest" |
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443 ]))) |
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444 |
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445 with open(mutations_in_motifs_file, 'a') as out_handle: |
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446 motif_dic = {"RGYW": RGYW, "WRCY": WRCY, "WA": WA, "TW": TW} |
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447 for mutation in mutationList: |
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448 frm, where, to, AAfrm, AAwhere, AAto, junk = mutation |
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449 for motif in list(motif_dic.keys()): |
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450 |
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451 for start, end, region in motif_dic[motif]: |
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452 if start <= int(where) <= end: |
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453 out_handle.write("{0}\n".format( |
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454 "\t".join([ |
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455 ID, |
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456 str(where), |
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457 region, |
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458 frm, |
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459 to, |
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460 str(AAwhere), |
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461 str(AAfrm), |
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462 str(AAto), |
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463 motif, |
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464 str(start), |
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465 str(end), |
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466 str(junk) |
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467 ]) |
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468 )) |
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469 |
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470 |
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471 |
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472 def mean(lst): |
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473 return (float(sum(lst)) / len(lst)) if len(lst) > 0 else 0.0 |
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474 |
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475 |
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476 def median(lst): |
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477 lst = sorted(lst) |
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478 l = len(lst) |
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479 if l == 0: |
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480 return 0 |
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481 if l == 1: |
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482 return lst[0] |
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483 |
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484 l = int(l / 2) |
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485 |
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486 if len(lst) % 2 == 0: |
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487 return float(lst[l] + lst[(l - 1)]) / 2.0 |
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488 else: |
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489 return lst[l] |
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490 |
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491 funcs = {"mean": mean, "median": median, "sum": sum} |
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492 |
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493 directory = outfile[:outfile.rfind("/") + 1] |
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494 value = 0 |
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495 valuedic = dict() |
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496 |
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497 for fname in list(funcs.keys()): |
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498 for gene in genes: |
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499 with open(directory + gene + "_" + fname + "_value.txt", 'r') as v: |
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500 valuedic[gene + "_" + fname] = float(v.readlines()[0].rstrip()) |
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501 with open(directory + "all_" + fname + "_value.txt", 'r') as v: |
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502 valuedic["total_" + fname] = float(v.readlines()[0].rstrip()) |
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503 |
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504 |
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505 def get_xyz(lst, gene, f, fname): |
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506 x = round(round(f(lst), 1)) |
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507 y = valuedic[gene + "_" + fname] |
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508 z = str(round(x / float(y) * 100, 1)) if y != 0 else "0" |
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509 return (str(x), str(y), z) |
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510 |
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511 dic = {"RGYW": RGYWCount, "WRCY": WRCYCount, "WA": WACount, "TW": TWCount} |
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512 arr = ["RGYW", "WRCY", "WA", "TW"] |
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513 |
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514 for fname in list(funcs.keys()): |
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515 func = funcs[fname] |
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516 foutfile = outfile[:outfile.rindex("/")] + "/hotspot_analysis_" + fname + ".txt" |
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517 with open(foutfile, 'w') as o: |
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518 for typ in arr: |
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519 o.write(typ + " (%)") |
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520 curr = dic[typ] |
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521 for gene in genes: |
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522 if valuedic[gene + "_" + fname] is 0: |
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523 o.write(",0,0,0") |
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524 else: |
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525 x, y, z = get_xyz([curr[x] for x in [y for y, z in genedic.items() if z.startswith(gene)]], gene, func, fname) |
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526 o.write("," + x + "," + y + "," + z) |
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527 x, y, z = get_xyz([y for x, y in curr.items() if not genedic[x].startswith("unmatched")], "total", func, fname) |
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528 #x, y, z = get_xyz([y for x, y in curr.iteritems()], "total", func, fname) |
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529 o.write("," + x + "," + y + "," + z + "\n") |
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530 |
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531 |
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532 # for testing |
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533 seq_motif_file = outfile[:outfile.rindex("/")] + "/motif_per_seq.txt" |
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534 with open(seq_motif_file, 'w') as o: |
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535 o.write("ID\tRGYW\tWRCY\tWA\tTW\n") |
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536 for ID in IDlist: |
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537 #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") |
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538 o.write(ID + "\t" + str(RGYWCount[ID]) + "\t" + str(WRCYCount[ID]) + "\t" + str(WACount[ID]) + "\t" + str(TWCount[ID]) + "\n") |
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539 |
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540 if __name__ == "__main__": |
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541 main() |
