Mercurial > repos > xuebing > sharplabtool
comparison tools/fastq/fastq_stats.py @ 0:9071e359b9a3
Uploaded
author | xuebing |
---|---|
date | Fri, 09 Mar 2012 19:37:19 -0500 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
-1:000000000000 | 0:9071e359b9a3 |
---|---|
1 #Dan Blankenberg | |
2 import sys | |
3 from galaxy_utils.sequence.fastq import fastqReader, fastqAggregator | |
4 | |
5 VALID_NUCLEOTIDES = [ 'A', 'C', 'G', 'T', 'N' ] | |
6 VALID_COLOR_SPACE = map( str, range( 7 ) ) + [ '.' ] | |
7 SUMMARY_STAT_ORDER = ['read_count', 'min_score', 'max_score', 'sum_score', 'mean_score', 'q1', 'med_score', 'q3', 'iqr', 'left_whisker', 'right_whisker' ] | |
8 | |
9 def main(): | |
10 input_filename = sys.argv[1] | |
11 output_filename = sys.argv[2] | |
12 input_type = sys.argv[3] or 'sanger' | |
13 | |
14 aggregator = fastqAggregator() | |
15 num_reads = None | |
16 fastq_read = None | |
17 for num_reads, fastq_read in enumerate( fastqReader( open( input_filename ), format = input_type ) ): | |
18 aggregator.consume_read( fastq_read ) | |
19 out = open( output_filename, 'wb' ) | |
20 valid_nucleotides = VALID_NUCLEOTIDES | |
21 if fastq_read: | |
22 if fastq_read.sequence_space == 'base': | |
23 out.write( '#column\tcount\tmin\tmax\tsum\tmean\tQ1\tmed\tQ3\tIQR\tlW\trW\toutliers\tA_Count\tC_Count\tG_Count\tT_Count\tN_Count\tother_bases\tother_base_count\n' ) | |
24 else: | |
25 out.write( '#column\tcount\tmin\tmax\tsum\tmean\tQ1\tmed\tQ3\tIQR\tlW\trW\toutliers\t0_Count\t1_Count\t2_Count\t3_Count\t4_Count\t5_Count\t6_Count\t._Count\tother_bases\tother_base_count\n' ) | |
26 valid_nucleotides = VALID_COLOR_SPACE | |
27 for i in range( aggregator.get_max_read_length() ): | |
28 column_stats = aggregator.get_summary_statistics_for_column( i ) | |
29 out.write( '%i\t' % ( i + 1 ) ) | |
30 out.write( '%s\t' * len( SUMMARY_STAT_ORDER ) % tuple( [ column_stats[ key ] for key in SUMMARY_STAT_ORDER ] ) ) | |
31 out.write( '%s\t' % ','.join( map( str, column_stats['outliers'] ) ) ) | |
32 base_counts = aggregator.get_base_counts_for_column( i ) | |
33 for nuc in valid_nucleotides: | |
34 out.write( "%s\t" % base_counts.get( nuc, 0 ) ) | |
35 extra_nucs = sorted( [ nuc for nuc in base_counts.keys() if nuc not in valid_nucleotides ] ) | |
36 out.write( "%s\t%s\n" % ( ','.join( extra_nucs ), ','.join( str( base_counts[nuc] ) for nuc in extra_nucs ) ) ) | |
37 out.close() | |
38 if num_reads is None: | |
39 print "No valid fastq reads could be processed." | |
40 else: | |
41 print "%i fastq reads were processed." % ( num_reads + 1 ) | |
42 print "Based upon quality values and sequence characters, the input data is valid for: %s" % ( ", ".join( aggregator.get_valid_formats() ) or "None" ) | |
43 ascii_range = aggregator.get_ascii_range() | |
44 decimal_range = aggregator.get_decimal_range() | |
45 print "Input ASCII range: %s(%i) - %s(%i)" % ( repr( ascii_range[0] ), ord( ascii_range[0] ), repr( ascii_range[1] ), ord( ascii_range[1] ) ) #print using repr, since \x00 (null) causes info truncation in galaxy when printed | |
46 print "Input decimal range: %i - %i" % ( decimal_range[0], decimal_range[1] ) | |
47 | |
48 if __name__ == "__main__": main() |