Mercurial > repos > scottx611x > cooler_convert

annotate recursive_agg_onefile.py @ 20:797818b4e2f6 draft

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planemo upload commit 9e980862c8b763cf3dd0209be49f0d2d75a90614-dirty
author scottx611x
date Mon, 21 Nov 2016 13:00:20 -0500
parents 70d6350f982d
children 202ef48959d3
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1 from __future__ import division, print_function
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2 from multiprocessing import Pool
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3 import argparse
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4 import sys
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5
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6 import numpy as np
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7 import cooler
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8 from cooler.io import CoolerAggregator
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9 import cooler.ice
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10 import h5py
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13 FACTOR = 2
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14 TILESIZE = 256
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15 N_CPU = 8
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16
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17 def main(infile, outfile, chunksize):
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18 c = cooler.Cooler(infile)
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19 binsize = c.info['bin-size']
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20 chromtable = c.chroms()[:]
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21 chromsizes = chromtable.set_index('name')['length']
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22 chroms = chromtable['name'].values
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23 lengths = chromtable['length'].values
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24 total_length = np.sum(chromsizes.values)
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25 n_tiles = total_length / binsize / TILESIZE
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26 n_zooms = int(np.ceil(np.log2(n_tiles)))
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27
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28 print(
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29 "Copying base matrix to level {0} and producing {0} zoom levels starting from 0...".format(n_zooms),
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30 file=sys.stderr
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31 )
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32
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33 # transfer base matrix
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34 with h5py.File(outfile, 'w') as dest, \
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35 h5py.File(infile, 'r') as src:
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36 zoomLevel = str(n_zooms)
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37 src.copy('/', dest, zoomLevel)
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38 print(zoomLevel, file=sys.stderr)
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40
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41 # produce aggregations
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42 with h5py.File(outfile, 'r+') as f:
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43 grp = f[str(n_zooms)]
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44 c = cooler.Cooler(grp)
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45 binsize = cooler.info(grp)['bin-size']
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46
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47 for i in range(n_zooms - 1, -1, -1):
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48 zoomLevel = str(i)
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49
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50 # aggregate
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51 new_binsize = binsize * FACTOR
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52 new_bins = cooler.util.binnify(chromsizes, new_binsize)
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53
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54 reader = CoolerAggregator(c, new_bins, chunksize)
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55
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56 grp = f.create_group(zoomLevel)
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57 f.attrs[zoomLevel] = new_binsize
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58 cooler.io.create(grp, chroms, lengths, new_bins, reader)
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59
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60 # balance
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61 #with Pool(N_CPU) as pool:
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62 too_close = 20000 # for HindIII
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63 ignore_diags = max(int(np.ceil(too_close / new_binsize)), 3)
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64
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65 bias = cooler.ice.iterative_correction(
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66 f, zoomLevel,
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67 chunksize=chunksize,
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68 min_nnz=10,
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69 mad_max=3,
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70 ignore_diags=ignore_diags,
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71 map=map)
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72 h5opts = dict(compression='gzip', compression_opts=6)
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73 grp['bins'].create_dataset('weight', data=bias, **h5opts)
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74
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75 print(zoomLevel, file=sys.stderr)
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76
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77 c = cooler.Cooler(grp)
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78 binsize = new_binsize
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79
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80 if __name__ == '__main__':
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81 parser = argparse.ArgumentParser(
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82 description="Recursively aggregate a single resolution cooler file into a multi-resolution file.")
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83 parser.add_argument(
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84 "cooler_file",
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85 help="Cooler file",
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86 metavar="COOLER_PATH")
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87 parser.add_argument(
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88 "--out", "-o",
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89 help="Output text file")
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90 args = vars(parser.parse_args())
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91
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92
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93 infile = args['cooler_file']
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94 if args['out'] is None:
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95 outfile = infile.replace('.cool', '.multires.cool')
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96 else:
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97 outfile = args['out']
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98
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99 chunksize = int(1e6)
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100 main(infile, outfile, chunksize)
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101