Mercurial > repos > cpt > cpt_gff_extract_seq
annotate gff3_extract_sequence.py @ 5:ab40380424c9 draft
planemo upload commit 852ac96ca53a2ffa0947e6df5e24671866b642f5
author | cpt |
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date | Sun, 23 Jul 2023 01:42:19 +0000 |
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1 #!/usr/bin/env python |
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2 import sys |
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3 import argparse |
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4 import logging |
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5 import uuid |
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6 from CPT_GFFParser import gffParse, gffWrite |
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7 from Bio import SeqIO |
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8 from Bio.Seq import Seq |
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9 from Bio.SeqRecord import SeqRecord |
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10 from Bio.SeqFeature import FeatureLocation, CompoundLocation |
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11 from gff3 import feature_lambda, feature_test_type, get_id |
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12 |
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13 logging.basicConfig(level=logging.INFO) |
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14 log = logging.getLogger(__name__) |
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15 |
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16 |
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17 def main(fasta, gff3, feature_filter=None, nodesc=False): |
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18 if feature_filter == "nice_cds": |
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19 from gff2gb import gff3_to_genbank as cpt_Gff2Gbk |
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20 |
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21 for rec in cpt_Gff2Gbk(gff3, fasta, 11): |
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22 seenList = {} |
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23 if rec.seq[0] == "?": |
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24 sys.stderr.write("Error: No Fasta ID matches GFF ID '" + rec.id + "'\n") |
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25 exit(1) |
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26 for feat in sorted(rec.features, key=lambda x: x.location.start): |
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27 if feat.type != "CDS": |
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28 continue |
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29 |
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30 ind = 0 |
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31 if ( |
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32 str( |
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33 feat.qualifiers.get("locus_tag", get_id(feat)).replace(" ", "-") |
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34 ) |
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35 in seenList.keys() |
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36 ): |
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37 seenList[ |
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38 str( |
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39 feat.qualifiers.get("locus_tag", get_id(feat)).replace( |
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40 " ", "-" |
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41 ) |
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42 ) |
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43 ] += 1 |
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44 ind = seenList[ |
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45 str( |
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46 feat.qualifiers.get("locus_tag", get_id(feat)).replace( |
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47 " ", "-" |
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48 ) |
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49 ) |
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50 ] |
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51 else: |
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52 seenList[ |
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53 str( |
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54 feat.qualifiers.get("locus_tag", get_id(feat)).replace( |
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55 " ", "-" |
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56 ) |
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57 ) |
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58 ] = 1 |
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59 append = "" |
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60 if ind != 0: |
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61 append = "_" + str(ind) |
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62 |
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63 if nodesc: |
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64 description = "" |
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65 else: |
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66 feat.qualifiers["ID"] = [feat._ID] |
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67 product = feat.qualifiers.get("product", "") |
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68 description = ( |
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69 "{1} [Location={0.location};ID={0.qualifiers[ID][0]}]".format( |
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70 feat, product |
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71 ) |
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72 ) |
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73 yield [ |
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74 SeqRecord( |
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75 feat.extract(rec).seq, |
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76 id=str( |
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77 feat.qualifiers.get("locus_tag", get_id(feat)).replace( |
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78 " ", "-" |
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79 ) |
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80 ) |
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81 + append, |
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82 description=description, |
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83 ) |
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84 ] |
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85 |
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86 elif feature_filter == "unique_cds": |
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87 seq_dict = SeqIO.to_dict(SeqIO.parse(fasta, "fasta")) |
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88 seen_ids = {} |
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89 |
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90 for rec in gffParse(gff3, base_dict=seq_dict): |
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91 noMatch = True |
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92 if "Alias" in rec.features[0].qualifiers.keys(): |
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93 lColumn = rec.features[0].qualifiers["Alias"][0] |
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94 else: |
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95 lColumn = "" |
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96 for x in seq_dict: |
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97 if x == rec.id or x == lColumn: |
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98 noMatch = False |
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99 if noMatch: |
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100 sys.stderr.write("Error: No Fasta ID matches GFF ID '" + rec.id + "'\n") |
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101 exit(1) |
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102 newfeats = [] |
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103 for feat in sorted( |
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104 feature_lambda( |
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105 rec.features, feature_test_type, {"type": "CDS"}, subfeatures=False |
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106 ), |
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107 key=lambda f: f.location.start, |
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108 ): |
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109 nid = rec.id + "____" + feat.id |
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110 if nid in seen_ids: |
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111 nid = nid + "__" + uuid.uuid4().hex |
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112 feat.qualifiers["ID"] = [nid] |
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113 newfeats.append(feat) |
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114 seen_ids[nid] = True |
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115 |
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116 if nodesc: |
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117 description = "" |
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118 else: |
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119 if feat.strand == -1: |
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120 important_data = { |
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121 "Location": FeatureLocation( |
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122 feat.location.start + 1, |
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123 feat.location.end - feat.phase, |
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124 feat.strand, |
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125 ) |
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126 } |
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127 else: |
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128 important_data = { |
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129 "Location": FeatureLocation( |
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130 feat.location.start + 1 + feat.phase, |
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131 feat.location.end, |
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132 feat.strand, |
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133 ) |
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134 } |
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135 if "Name" in feat.qualifiers: |
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136 important_data["Name"] = feat.qualifiers.get("Name", [""])[0] |
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137 |
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138 description = "[{}]".format( |
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139 ";".join( |
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140 [ |
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141 "{key}={value}".format(key=k, value=v) |
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142 for (k, v) in important_data.items() |
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143 ] |
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144 ) |
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145 ) |
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146 # if feat.id == "CPT_Privateer_006.p01": |
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147 # print(feat) |
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148 # exit() |
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149 |
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150 if isinstance(feat.location, CompoundLocation): |
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151 finSeq = "" |
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152 if feat.strand == -1: |
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153 for x in feat.location.parts: |
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154 finSeq += str( |
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155 ( |
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156 rec.seq[ |
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157 feat.location.start : feat.location.end |
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158 - feat.phase |
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159 ] |
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160 ).reverse_complement() |
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161 ) |
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162 else: |
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163 for x in feat.location.parts: |
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164 finSeq += str( |
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165 rec.seq[ |
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166 feat.location.start + feat.phase : feat.location.end |
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167 ] |
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168 ) |
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169 yield [ |
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170 SeqRecord( |
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171 finSeq, |
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172 id=nid.replace(" ", "-"), |
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173 description=description, |
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174 ) |
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175 ] |
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176 elif feat.strand == -1: |
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177 yield [ |
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178 SeqRecord( |
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179 ( |
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180 rec.seq[ |
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181 feat.location.start : feat.location.end - feat.phase |
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182 ] |
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183 ).reverse_complement(), |
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184 id=nid.replace(" ", "-"), |
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185 description=description, |
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186 ) |
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187 ] |
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188 else: |
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189 yield [ |
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190 SeqRecord( |
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191 # feat.extract(rec).seq, |
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192 rec.seq[ |
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193 feat.location.start + feat.phase : feat.location.end |
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194 ], |
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195 id=nid.replace(" ", "-"), |
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196 description=description, |
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197 ) |
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198 ] |
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199 rec.features = newfeats |
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200 rec.annotations = {} |
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201 # gffWrite([rec], sys.stdout) |
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202 else: |
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203 seq_dict = SeqIO.to_dict(SeqIO.parse(fasta, "fasta")) |
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204 |
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205 for rec in gffParse(gff3, base_dict=seq_dict): |
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206 noMatch = True |
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207 if "Alias" in rec.features[0].qualifiers.keys(): |
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208 lColumn = rec.features[0].qualifiers["Alias"][0] |
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209 else: |
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210 lColumn = "" |
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211 for x in seq_dict: |
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212 if x == rec.id or x == lColumn: |
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213 noMatch = False |
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214 if noMatch: |
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215 sys.stderr.write("Error: No Fasta ID matches GFF ID '" + rec.id + "'\n") |
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216 exit(1) |
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217 for feat in sorted( |
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218 feature_lambda( |
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219 rec.features, |
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220 feature_test_type, |
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221 {"type": feature_filter}, |
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222 subfeatures=True, |
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223 ), |
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224 key=lambda f: f.location.start, |
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225 ): |
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226 id = feat.id |
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227 if len(id) == 0: |
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228 id = get_id(feat) |
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229 |
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230 if nodesc: |
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231 description = "" |
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232 else: |
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233 if feat.strand == -1: |
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234 important_data = { |
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235 "Location": FeatureLocation( |
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236 feat.location.start + 1, |
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237 feat.location.end - feat.phase, |
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238 feat.strand, |
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239 ) |
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240 } |
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241 else: |
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242 important_data = { |
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243 "Location": FeatureLocation( |
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244 feat.location.start + 1 + feat.phase, |
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245 feat.location.end, |
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246 feat.strand, |
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247 ) |
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248 } |
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249 if "Name" in feat.qualifiers: |
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250 important_data["Name"] = feat.qualifiers.get("Name", [""])[0] |
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251 |
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252 description = "[{}]".format( |
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253 ";".join( |
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254 [ |
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255 "{key}={value}".format(key=k, value=v) |
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256 for (k, v) in important_data.items() |
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257 ] |
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258 ) |
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259 ) |
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260 |
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261 if isinstance(feat.location, CompoundLocation): |
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262 finSeq = "" |
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263 if feat.strand == -1: |
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264 for x in feat.location.parts: |
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265 finSeq += str( |
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266 ( |
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267 rec.seq[x.start : x.end - feat.phase] |
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268 ).reverse_complement() |
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269 ) |
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270 else: |
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271 for x in feat.location.parts: |
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272 finSeq += str(rec.seq[x.start + feat.phase : x.end]) |
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273 yield [ |
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274 SeqRecord( |
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275 Seq(finSeq), |
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276 id=id.replace(" ", "-"), |
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277 description=description, |
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278 ) |
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279 ] |
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280 |
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281 else: |
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282 |
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283 if feat.strand == -1: |
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284 yield [ |
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285 SeqRecord( |
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286 seq=Seq( |
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287 str( |
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288 rec.seq[ |
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289 feat.location.start : feat.location.end |
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290 - feat.phase |
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291 ] |
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292 ) |
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293 ).reverse_complement(), |
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294 id=id.replace(" ", "-"), |
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295 description=description, |
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296 ) |
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297 ] |
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298 else: |
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299 yield [ |
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300 SeqRecord( |
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301 # feat.extract(rec).seq, |
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302 seq=Seq( |
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303 str( |
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304 rec.seq[ |
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305 feat.location.start |
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306 + feat.phase : feat.location.end |
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307 ] |
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308 ) |
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309 ), |
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310 id=id.replace(" ", "-"), |
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311 description=description, |
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312 ) |
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313 ] |
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314 |
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315 |
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316 if __name__ == "__main__": |
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317 parser = argparse.ArgumentParser( |
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318 description="Export corresponding sequence in genome from GFF3", epilog="" |
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319 ) |
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320 parser.add_argument("fasta", type=argparse.FileType("r"), help="Fasta Genome") |
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321 parser.add_argument("gff3", type=argparse.FileType("r"), help="GFF3 File") |
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322 parser.add_argument( |
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323 "--feature_filter", default=None, help="Filter for specific feature types" |
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324 ) |
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325 parser.add_argument( |
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326 "--nodesc", action="store_true", help="Strip description field off" |
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327 ) |
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328 args = parser.parse_args() |
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329 for seq in main(**vars(args)): |
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330 # if isinstance(seq, list): |
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331 # for x in seq: |
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332 # print(type(x.seq)) |
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333 # SeqIO.write(x, sys.stdout, "fasta") |
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334 # else: |
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335 SeqIO.write(seq, sys.stdout, "fasta") |