annotate coverage_table.py @ 1:a04028a8181d draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/concoct commit 40a09cbfd6052f7b0295946621db1bdf58228b09"
author iuc
date Sun, 13 Mar 2022 08:44:08 +0000
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a04028a8181d "planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/concoct commit 40a09cbfd6052f7b0295946621db1bdf58228b09"
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1 #!/usr/bin/env python
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3 import argparse
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4 import gzip
a04028a8181d "planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/concoct commit 40a09cbfd6052f7b0295946621db1bdf58228b09"
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5 from functools import partial
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6
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7 from Bio import SeqIO
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10 def generate_coverage_table(input_fasta, input_tabular, gzipped, output):
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11 # Read input file into a dict and return everything
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12 # in the table format required by CONCOCT.
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13 gc_and_len_dict = get_gc_and_len_dict(input_fasta, gzipped)
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14 assert(len(gc_and_len_dict) > 0)
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15 bed_coverage_dict = get_bed_coverage_dict(input_tabular)
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16
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17 with open(output, 'w') as fh:
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18 # Output the header.
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19 fh.write("contig\tlength")
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20 t = tuple(range(len(bed_coverage_dict)))
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21 fh.write("\tcov_mean_sample_%d\n" % len(t))
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22 # Output the content.
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23 for acc in gc_and_len_dict:
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24 # Fasta stats.
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25 fh.write("%s\t%s" % (acc, gc_and_len_dict[acc]['length']))
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26 # Mean
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27 try:
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28 # Coverage mean
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29 fh.write("\t%f" % (bed_coverage_dict[acc]["cov_mean"]))
a04028a8181d "planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/concoct commit 40a09cbfd6052f7b0295946621db1bdf58228b09"
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30 except KeyError:
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31 # No reads mapped to this contig
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32 fh.write("\t0")
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33 fh.write("\n")
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34
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35
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36 def get_bed_coverage_dict(input_tabular):
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37 # Ddetermine mean coverage and percentage covered
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38 # for each contig, returning a dict with fasta id
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39 # as key and percentage covered and cov_mean as keys
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40 # for the inner dict.
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41 out_dict = {}
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42
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43 with open(input_tabular, 'r') as fh:
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44 for line in fh:
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45 line = line.rstrip('\r\n')
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46 cols = line.split('\t')
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47 try:
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48 d = out_dict[cols[0]]
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49 except KeyError:
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50 d = {}
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51 out_dict[cols[0]] = d
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52 if int(cols[1]) == 0:
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53 d["percentage_covered"] = 100 - float(cols[4]) * 100.0
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54 else:
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55 d["cov_mean"] = d.get("cov_mean", 0) + int(cols[1]) * float(cols[4])
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56 return out_dict
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57
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58
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59 def get_gc_and_len_dict(input_fasta, gzipped):
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60 # Creates a dictionary with the fasta id as key
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61 # and GC and length as keys for the inner dictionary.
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62 if gzipped:
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63 _open = partial(gzip.open, mode='rt')
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64 else:
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65 _open = open
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66
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67 out_dict = {}
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68 with _open(input_fasta) as input_fh:
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69 for rec in SeqIO.parse(input_fh, "fasta"):
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70 out_dict[rec.id] = {}
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71 out_dict[rec.id]["length"] = len(rec.seq)
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72 return out_dict
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73
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74
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75 parser = argparse.ArgumentParser(description=__doc__)
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76 parser.add_argument('--input_tabular', action='store', dest='input_tabular', help='bedtools genomeCoverageBed bed file')
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77 parser.add_argument('--input_fasta', action='store', dest='input_fasta', help='Contigs fasta file')
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78 parser.add_argument("--gzipped", action="store_true", dest="gzipped", default=False, help="input_fasta is gzipped")
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79 parser.add_argument('--output', action='store', dest='output', help='Output file')
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80
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81 args = parser.parse_args()
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82
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83 generate_coverage_table(args.input_fasta, args.input_tabular, args.gzipped, args.output)