1 | #Dan Blankenberg |
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2 | from optparse import OptionParser |
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3 | from galaxy_utils.sequence.fastq import fastqReader, fastqWriter |
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4 | |
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5 | def mean( score_list ): |
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6 | return float( sum( score_list ) ) / float( len( score_list ) ) |
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7 | |
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8 | ACTION_METHODS = { 'min':min, 'max':max, 'sum':sum, 'mean':mean } |
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9 | |
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10 | def compare( aggregated_value, operator, threshold_value ): |
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11 | if operator == '>': |
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12 | return aggregated_value > threshold_value |
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13 | elif operator == '>=': |
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14 | return aggregated_value >= threshold_value |
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15 | elif operator == '==': |
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16 | return aggregated_value == threshold_value |
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17 | elif operator == '<': |
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18 | return aggregated_value < threshold_value |
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19 | elif operator == '<=': |
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20 | return aggregated_value <= threshold_value |
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21 | elif operator == '!=': |
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22 | return aggregated_value != threshold_value |
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23 | |
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24 | def exclude( value_list, exclude_indexes ): |
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25 | rval = [] |
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26 | for i, val in enumerate( value_list ): |
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27 | if i not in exclude_indexes: |
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28 | rval.append( val ) |
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29 | return rval |
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30 | |
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31 | def exclude_and_compare( aggregate_action, aggregate_list, operator, threshold_value, exclude_indexes = None ): |
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32 | if not aggregate_list or compare( aggregate_action( aggregate_list ), operator, threshold_value ): |
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33 | return True |
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34 | if exclude_indexes: |
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35 | for exclude_index in exclude_indexes: |
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36 | excluded_list = exclude( aggregate_list, exclude_index ) |
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37 | if not excluded_list or compare( aggregate_action( excluded_list ), operator, threshold_value ): |
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38 | return True |
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39 | return False |
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40 | |
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41 | def main(): |
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42 | usage = "usage: %prog [options] input_file output_file" |
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43 | parser = OptionParser( usage=usage ) |
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44 | parser.add_option( '-f', '--format', dest='format', type='choice', default='sanger', choices=( 'sanger', 'cssanger', 'solexa', 'illumina' ), help='FASTQ variant type' ) |
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45 | parser.add_option( '-s', '--window_size', type="int", dest='window_size', default='1', help='Window size' ) |
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46 | parser.add_option( '-t', '--window_step', type="int", dest='window_step', default='1', help='Window step' ) |
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47 | parser.add_option( '-e', '--trim_ends', type="choice", dest='trim_ends', default='53', choices=('5','3','53','35' ), help='Ends to Trim' ) |
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48 | parser.add_option( '-a', '--aggregation_action', type="choice", dest='aggregation_action', default='min', choices=('min','max','sum','mean' ), help='Aggregate action for window' ) |
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49 | parser.add_option( '-x', '--exclude_count', type="int", dest='exclude_count', default='0', help='Maximum number of bases to exclude from the window during aggregation' ) |
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50 | parser.add_option( '-c', '--score_comparison', type="choice", dest='score_comparison', default='>=', choices=('>','>=','==','<', '<=', '!=' ), help='Keep read when aggregate score is' ) |
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51 | parser.add_option( '-q', '--quality_score', type="float", dest='quality_score', default='0', help='Quality Score' ) |
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52 | parser.add_option( "-k", "--keep_zero_length", action="store_true", dest="keep_zero_length", default=False, help="Keep reads with zero length") |
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53 | ( options, args ) = parser.parse_args() |
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54 | |
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55 | if len ( args ) != 2: |
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56 | parser.error( "Need to specify an input file and an output file" ) |
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57 | |
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58 | if options.window_size < 1: |
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59 | parser.error( 'You must specify a strictly positive window size' ) |
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60 | |
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61 | if options.window_step < 1: |
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62 | parser.error( 'You must specify a strictly positive step size' ) |
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63 | |
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64 | #determine an exhaustive list of window indexes that can be excluded from aggregation |
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65 | exclude_window_indexes = [] |
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66 | last_exclude_indexes = [] |
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67 | for exclude_count in range( min( options.exclude_count, options.window_size ) ): |
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68 | if last_exclude_indexes: |
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69 | new_exclude_indexes = [] |
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70 | for exclude_list in last_exclude_indexes: |
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71 | for window_index in range( options.window_size ): |
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72 | if window_index not in exclude_list: |
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73 | new_exclude = sorted( exclude_list + [ window_index ] ) |
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74 | if new_exclude not in exclude_window_indexes + new_exclude_indexes: |
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75 | new_exclude_indexes.append( new_exclude ) |
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76 | exclude_window_indexes += new_exclude_indexes |
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77 | last_exclude_indexes = new_exclude_indexes |
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78 | else: |
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79 | for window_index in range( options.window_size ): |
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80 | last_exclude_indexes.append( [ window_index ] ) |
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81 | exclude_window_indexes = list( last_exclude_indexes ) |
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82 | |
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83 | out = fastqWriter( open( args[1], 'wb' ), format = options.format ) |
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84 | action = ACTION_METHODS[ options.aggregation_action ] |
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85 | |
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86 | num_reads = None |
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87 | num_reads_excluded = 0 |
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88 | for num_reads, fastq_read in enumerate( fastqReader( open( args[0] ), format = options.format ) ): |
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89 | for trim_end in options.trim_ends: |
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90 | quality_list = fastq_read.get_decimal_quality_scores() |
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91 | if trim_end == '5': |
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92 | lwindow_position = 0 #left position of window |
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93 | while True: |
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94 | if lwindow_position >= len( quality_list ): |
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95 | fastq_read.sequence = '' |
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96 | fastq_read.quality = '' |
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97 | break |
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98 | if exclude_and_compare( action, quality_list[ lwindow_position:lwindow_position + options.window_size ], options.score_comparison, options.quality_score, exclude_window_indexes ): |
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99 | fastq_read = fastq_read.slice( lwindow_position, None ) |
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100 | break |
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101 | lwindow_position += options.window_step |
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102 | else: |
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103 | rwindow_position = len( quality_list ) #right position of window |
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104 | while True: |
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105 | lwindow_position = rwindow_position - options.window_size #left position of window |
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106 | if rwindow_position <= 0 or lwindow_position < 0: |
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107 | fastq_read.sequence = '' |
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108 | fastq_read.quality = '' |
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109 | break |
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110 | if exclude_and_compare( action, quality_list[ lwindow_position:rwindow_position ], options.score_comparison, options.quality_score, exclude_window_indexes ): |
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111 | fastq_read = fastq_read.slice( None, rwindow_position ) |
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112 | break |
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113 | rwindow_position -= options.window_step |
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114 | if options.keep_zero_length or len( fastq_read ): |
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115 | out.write( fastq_read ) |
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116 | else: |
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117 | num_reads_excluded += 1 |
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118 | out.close() |
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119 | if num_reads is None: |
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120 | print "No valid FASTQ reads could be processed." |
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121 | else: |
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122 | print "%i FASTQ reads were processed." % ( num_reads + 1 ) |
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123 | if num_reads_excluded: |
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124 | print "%i reads of zero length were excluded from the output." % num_reads_excluded |
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125 | |
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126 | if __name__ == "__main__": main() |
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