Mercurial > repos > cpt > cpt_get_orfs

annotate cpt.py @ 4:f97bc7f587a1 draft

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planemo upload commit 94b0cd1fff0826c6db3e7dc0c91c0c5a8be8bb0c
author cpt
date Mon, 05 Jun 2023 02:43:41 +0000
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4
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1 #!/usr/bin/env python
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2 import regex as re
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3 from Bio.Seq import Seq, reverse_complement, translate
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4 from Bio.SeqRecord import SeqRecord
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5 from Bio import SeqIO
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6 from Bio.Data import CodonTable
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7 import logging
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8
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9 logging.basicConfig()
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10 log = logging.getLogger()
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11
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12 PHAGE_IN_MIDDLE = re.compile("^(?P<host>.*)\s*phage (?P<phage>.*)$")
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13 BACTERIOPHAGE_IN_MIDDLE = re.compile("^(?P<host>.*)\s*bacteriophage (?P<phage>.*)$")
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14 STARTS_WITH_PHAGE = re.compile(
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15 "^(bacterio|vibrio|Bacterio|Vibrio|)?[Pp]hage (?P<phage>.*)$"
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16 )
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17 NEW_STYLE_NAMES = re.compile("(?P<phage>v[A-Z]_[A-Z][a-z]{2}_.*)")
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18
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19
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20 def phage_name_parser(name):
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21 host = None
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22 phage = None
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23 name = name.replace(", complete genome.", "")
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24 name = name.replace(", complete genome", "")
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25
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26 m = BACTERIOPHAGE_IN_MIDDLE.match(name)
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27 if m:
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28 host = m.group("host")
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29 phage = m.group("phage")
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30 return (host, phage)
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31
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32 m = PHAGE_IN_MIDDLE.match(name)
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33 if m:
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34 host = m.group("host")
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35 phage = m.group("phage")
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36 return (host, phage)
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37
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38 m = STARTS_WITH_PHAGE.match(name)
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39 if m:
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40 phage = m.group("phage")
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41 return (host, phage)
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42
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43 m = NEW_STYLE_NAMES.match(name)
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44 if m:
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45 phage = m.group("phage")
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46 return (host, phage)
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47
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48 return (host, phage)
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49
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50
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51 class OrfFinder(object):
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52 def __init__(self, table, ftype, ends, min_len, strand):
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53 self.table = table
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54 self.table_obj = CodonTable.ambiguous_generic_by_id[table]
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55 self.ends = ends
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56 self.ftype = ftype
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57 self.min_len = min_len
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58 self.starts = sorted(self.table_obj.start_codons)
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59 self.stops = sorted(self.table_obj.stop_codons)
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60 self.re_starts = re.compile("|".join(self.starts))
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61 self.re_stops = re.compile("|".join(self.stops))
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62 self.strand = strand
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63
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64 def locate(self, fasta_file, out_nuc, out_prot, out_bed, out_gff3):
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65 seq_format = "fasta"
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66 log.debug("Genetic code table %i" % self.table)
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67 log.debug("Minimum length %i aa" % self.min_len)
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68
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69 out_count = 0
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70
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71 out_gff3.write("##gff-version 3\n")
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72
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73 for idx, record in enumerate(SeqIO.parse(fasta_file, seq_format)):
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74 for i, (f_start, f_end, f_strand, n, t) in enumerate(
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75 self.get_all_peptides(str(record.seq).upper())
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76 ):
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77 out_count += 1
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78
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79 descr = "length %i aa, %i bp, from %s..%s[%s] of %s" % (
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80 len(t),
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81 len(n),
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82 f_start,
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83 f_end,
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84 f_strand,
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85 record.description,
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86 )
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87 fid = record.id + "|%s%i" % (self.ftype, i + 1)
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88
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89 r = SeqRecord(Seq(n), id=fid, name="", description=descr)
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90 t = SeqRecord(Seq(t), id=fid, name="", description=descr)
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91
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92 SeqIO.write(r, out_nuc, "fasta")
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93 SeqIO.write(t, out_prot, "fasta")
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94
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95 nice_strand = "+" if f_strand == +1 else "-"
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96
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97 out_bed.write(
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98 "\t".join(
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99 map(str, [record.id, f_start, f_end, fid, 0, nice_strand])
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100 )
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101 + "\n"
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102 )
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103
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104 out_gff3.write(
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105 "\t".join(
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106 map(
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107 str,
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108 [
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109 record.id,
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110 "getOrfsOrCds",
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111 "CDS",
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112 f_start + 1,
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113 f_end,
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114 ".",
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115 nice_strand,
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116 0,
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117 "ID=%s.%s.%s" % (self.ftype, idx, i + 1),
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118 ],
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119 )
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120 )
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121 + "\n"
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122 )
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123 log.info("Found %i %ss", out_count, self.ftype)
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124
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125 def start_chop_and_trans(self, s, strict=True):
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126 """Returns offset, trimmed nuc, protein."""
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127 if strict:
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128 assert s[-3:] in self.stops, s
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129 assert len(s) % 3 == 0
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130 for match in self.re_starts.finditer(s, overlapped=True):
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131 # Must check the start is in frame
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132 start = match.start()
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133 if start % 3 == 0:
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134 n = s[start:]
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135 assert len(n) % 3 == 0, "%s is len %i" % (n, len(n))
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136 if strict:
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137 t = translate(n, self.table)
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138 else:
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139 # Use when missing stop codon,
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140 t = "M" + translate(n[3:], self.table, to_stop=True)
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141 yield start, n, t # Edited by CPT to be a generator
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142
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143 def break_up_frame(self, s):
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144 """Returns offset, nuc, protein."""
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145 start = 0
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146 for match in self.re_stops.finditer(s, overlapped=True):
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147 index = match.start() + 3
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148 if index % 3 != 0:
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149 continue
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150 n = s[start:index]
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151 for (offset, n, t) in self.start_chop_and_trans(n):
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152 if n and len(t) >= self.min_len:
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153 yield start + offset, n, t
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154 start = index
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155
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156 def putative_genes_in_sequence(self, nuc_seq):
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157 """Returns start, end, strand, nucleotides, protein.
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158 Co-ordinates are Python style zero-based.
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159 """
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160 nuc_seq = nuc_seq.upper()
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161 # TODO - Refactor to use a generator function (in start order)
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162 # rather than making a list and sorting?
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163 answer = []
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164 full_len = len(nuc_seq)
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165
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166 for frame in range(0, 3):
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167 for offset, n, t in self.break_up_frame(nuc_seq[frame:]):
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168 start = frame + offset # zero based
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169 answer.append((start, start + len(n), +1, n, t))
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170
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171 rc = reverse_complement(nuc_seq)
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172 for frame in range(0, 3):
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173 for offset, n, t in self.break_up_frame(rc[frame:]):
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174 start = full_len - frame - offset # zero based
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175 answer.append((start, start - len(n), -1, n, t))
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176 answer.sort()
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177 return answer
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178
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179 def get_all_peptides(self, nuc_seq):
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180 """Returns start, end, strand, nucleotides, protein.
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181
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182 Co-ordinates are Python style zero-based.
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183 """
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184 # Refactored into generator by CPT
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185 full_len = len(nuc_seq)
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186 if self.strand != "reverse":
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187 for frame in range(0, 3):
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188 for offset, n, t in self.break_up_frame(nuc_seq[frame:]):
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189 start = frame + offset # zero based
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190 yield (start, start + len(n), +1, n, t)
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191 if self.strand != "forward":
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192 rc = reverse_complement(nuc_seq)
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193 for frame in range(0, 3):
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194 for offset, n, t in self.break_up_frame(rc[frame:]):
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195 start = full_len - frame - offset # zero based
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196 yield (start - len(n), start, -1, n, t)
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197
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198
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199 class MGAFinder(object):
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200 def __init__(self, table, ftype, ends, min_len):
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201 self.table = table
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202 self.table_obj = CodonTable.ambiguous_generic_by_id[table]
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203 self.ends = ends
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204 self.ftype = ftype
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205 self.min_len = min_len
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206 self.starts = sorted(self.table_obj.start_codons)
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207 self.stops = sorted(self.table_obj.stop_codons)
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208 self.re_starts = re.compile("|".join(self.starts))
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209 self.re_stops = re.compile("|".join(self.stops))
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210
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211 def locate(self, fasta_file, out_nuc, out_prot, out_bed, out_gff3):
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212 seq_format = "fasta"
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213 log.debug("Genetic code table %i" % self.table)
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214 log.debug("Minimum length %i aa" % self.min_len)
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215
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216 out_count = 0
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217
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218 out_gff3.write("##gff-version 3\n")
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219
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220 for idx, record in enumerate(SeqIO.parse(fasta_file, seq_format)):
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221 for i, (f_start, f_end, f_strand, n, t) in enumerate(
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222 self.get_all_peptides(str(record.seq).upper())
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223 ):
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224 out_count += 1
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225
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226 descr = "length %i aa, %i bp, from %s..%s[%s] of %s" % (
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227 len(t),
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228 len(n),
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229 f_start,
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230 f_end,
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231 f_strand,
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232 record.description,
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233 )
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234 fid = record.id + "|%s%i" % (self.ftype, i + 1)
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235
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236 r = SeqRecord(Seq(n), id=fid, name="", description=descr)
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237 t = SeqRecord(Seq(t), id=fid, name="", description=descr)
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238
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239 SeqIO.write(r, out_nuc, "fasta")
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240 SeqIO.write(t, out_prot, "fasta")
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241
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242 nice_strand = "+" if f_strand == +1 else "-"
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243
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244 out_bed.write(
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245 "\t".join(
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246 map(str, [record.id, f_start, f_end, fid, 0, nice_strand])
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247 )
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248 + "\n"
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249 )
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250
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251 out_gff3.write(
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252 "\t".join(
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253 map(
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254 str,
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255 [
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256 record.id,
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257 "getOrfsOrCds",
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258 "CDS",
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259 f_start + 1,
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260 f_end,
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261 ".",
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262 nice_strand,
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263 0,
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264 "ID=%s.%s.%s" % (self.ftype, idx, i + 1),
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265 ],
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266 )
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267 )
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268 + "\n"
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269 )
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270 log.info("Found %i %ss", out_count, self.ftype)
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271
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272 def start_chop_and_trans(self, s, strict=True):
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273 """Returns offset, trimmed nuc, protein."""
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274 if strict:
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275 assert s[-3:] in self.stops, s
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276 assert len(s) % 3 == 0
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277 for match in self.re_starts.finditer(s, overlapped=True):
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278 # Must check the start is in frame
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279 start = match.start()
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280 if start % 3 == 0:
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281 n = s[start:]
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282 assert len(n) % 3 == 0, "%s is len %i" % (n, len(n))
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283 if strict:
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284 t = translate(n, self.table)
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285 else:
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286 # Use when missing stop codon,
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287 t = "M" + translate(n[3:], self.table, to_stop=True)
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288 yield start, n, t
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289
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290 def break_up_frame(self, s):
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291 """Returns offset, nuc, protein."""
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292 start = 0
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293 for match in self.re_stops.finditer(s, overlapped=True):
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294 index = match.start() + 3
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295 if index % 3 != 0:
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296 continue
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297 n = s[start:index]
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298 for (offset, n, t) in self.start_chop_and_trans(n):
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299 if n and len(t) >= self.min_len:
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300 yield start + offset, n, t
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301 start = index
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302
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303 def putative_genes_in_sequence(self, nuc_seq):
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304 """Returns start, end, strand, nucleotides, protein.
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305 Co-ordinates are Python style zero-based.
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306 """
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307 nuc_seq = nuc_seq.upper()
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308 # TODO - Refactor to use a generator function (in start order)
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309 # rather than making a list and sorting?
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310 answer = []
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311 full_len = len(nuc_seq)
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312
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313 for frame in range(0, 3):
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parents:
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314 for offset, n, t in self.break_up_frame(nuc_seq[frame:]):
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315 start = frame + offset # zero based
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316 answer.append((start, start + len(n), +1, n, t))
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317
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318 rc = reverse_complement(nuc_seq)
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319 for frame in range(0, 3):
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parents:
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320 for offset, n, t in self.break_up_frame(rc[frame:]):
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321 start = full_len - frame - offset # zero based
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322 answer.append((start, start - len(n), -1, n, t))
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diff changeset
323 answer.sort()
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324 return answer
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diff changeset
325
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326 def get_all_peptides(self, nuc_seq):
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327 """Returns start, end, strand, nucleotides, protein.
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diff changeset
328
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329 Co-ordinates are Python style zero-based.
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330 """
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331 # Refactored into generator by CPT
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diff changeset
332
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333 full_len = len(nuc_seq)
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parents:
diff changeset
334 for frame in range(0, 3):
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parents:
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335 for offset, n, t in self.break_up_frame(nuc_seq[frame:]):
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parents:
diff changeset
336 start = frame + offset # zero based
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diff changeset
337 yield (start, start + len(n), +1, n, t)
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338 rc = reverse_complement(nuc_seq)
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parents:
diff changeset
339 for frame in range(0, 3):
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parents:
diff changeset
340 for offset, n, t in self.break_up_frame(rc[frame:]):
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parents:
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341 start = full_len - frame - offset # zero based
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parents:
diff changeset
342 yield (start - len(n), start, -1, n, t)