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0
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1 """
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2 genetrack.py
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3
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5
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4 Input: either scidx or gff format of reads
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5 Output: Called peaks in gff format
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0
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6 """
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2
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7 import optparse
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8 import csv
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9 import os
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10 import genetrack_util
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11
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10
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12 CHUNK_SIZE = 10000000
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13
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0
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14
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15 if __name__ == '__main__':
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2
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16 parser = optparse.OptionParser()
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17 parser.add_option('-t', '--input_format', dest='input_format', type='string', help='Input format')
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18 parser.add_option('-i', '--input', dest='inputs', type='string', action='append', nargs=2, help='Input datasets')
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19 parser.add_option('-s', '--sigma', dest='sigma', type='int', default=5, help='Sigma.')
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20 parser.add_option('-e', '--exclusion', dest='exclusion', type='int', default=20, help='Exclusion zone.')
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21 parser.add_option('-u', '--up_width', dest='up_width', type='int', default=10, help='Upstream width of called peaks.')
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22 parser.add_option('-d', '--down_width', dest='down_width', type='int', default=10, help='Downstream width of called peaks.')
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14
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23 parser.add_option('-f', '--filter', dest='filter', type='int', default=1, help='Absolute read filter.')
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2
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24 options, args = parser.parse_args()
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25
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26 os.mkdir('output')
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2
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27 for (dataset_path, hid) in options.inputs:
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28 if options.input_format == 'gff':
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29 # Make sure the reads for each chromosome are sorted by index.
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30 input_path = genetrack_util.sort_chromosome_reads_by_index(dataset_path)
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31 else:
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5
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32 # We're processing scidx data.
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33 input_path = dataset_path
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2
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34 output_name = 's%se%su%sd%sF%s_on_data_%s' % (str(options.sigma),
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35 str(options.exclusion),
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36 str(options.up_width),
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37 str(options.down_width),
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38 str(options.filter),
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0
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39 str(hid))
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40 output_path = os.path.join('output', output_name)
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41 reader = csv.reader(open(input_path, 'rU'), delimiter='\t')
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42 writer = csv.writer(open(output_path, 'wt'), delimiter='\t')
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2
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43 width = options.sigma * 5
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44 manager = genetrack_util.ChromosomeManager(reader)
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45 while not manager.done:
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46 cname = manager.chromosome_name()
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47 # Should we process this chromosome?
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48 data = manager.load_chromosome()
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49 if not data:
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50 continue
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51 keys = genetrack_util.make_keys(data)
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52 lo, hi = genetrack_util.get_range(data)
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10
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53 for chunk in genetrack_util.get_chunks(lo, hi, size=CHUNK_SIZE, overlap=width):
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54 (slice_start, slice_end), process_bounds = chunk
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55 window = genetrack_util.get_window(data, slice_start, slice_end, keys)
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56 genetrack_util.process_chromosome(cname,
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57 window,
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58 writer,
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59 process_bounds,
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2
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60 width,
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61 options.sigma,
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62 options.up_width,
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63 options.down_width,
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64 options.exclusion,
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65 options.filter)
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