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Update fastq format.
Now we only support FastqSolexa variants. If the quality scores are presented as characters, the integer values are obtained by their ascii code subtract 64.
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@@ -89,23 +89,30 @@ A sequence in FASTA format consists of a single-line description, followed by li
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-----
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**Fastq**
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**FastqSolexa**
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Fastq format stores sequences and Phred qualities in a single file. We define Fastq as the Sanger/Standard variant::
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Fastq format stores sequences and quality scores in a single file. We define FastqSolexa as the Illumina (Solexa) variant::
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@EAS54_6_R1_2_1_413_324
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CCCTTCTTGTCTTCAGCGTTTCTCC
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+
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;;3;;;;;;;;;;;;7;;;;;;;88
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@EAS54_6_R1_2_1_540_792
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TTGGCAGGCCAAGGCCGATGGATCA
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+
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;;;;;;;;;;;7;;;;;-;;;3;83
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@EAS54_6_R1_2_1_443_348
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GTTGCTTCTGGCGTGGGTGGGGGGG
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+EAS54_6_R1_2_1_443_348
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;;;;;;;;;;;9;7;;.7;393333
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@seq1
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GACAGCTTGGTTTTTAGTGAGTTGTTCCTTTCTTT
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+seq1
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hhhhhhhhhhhhhhhhhhhhhhhhhhPW@hhhhhh
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@seq2
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GCAATGACGGCAGCAATAAACTCAACAGGTGCTGG
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+seq2
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hhhhhhhhhhhhhhYhhahhhhWhAhFhSIJGChO
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Or::
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@seq1
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GAATTGATCAGGACATAGGACAACTGTAGGCACCAT
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+seq1
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40 40 40 40 35 40 40 40 25 40 40 26 40 9 33 11 40 35 17 40 40 33 40 7 9 15 3 22 15 30 11 17 9 4 9 4
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@seq2
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GAGTTCTCGTCGCCTGTAGGCACCATCAATCGTATG
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+seq2
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40 15 40 17 6 36 40 40 40 25 40 9 35 33 40 14 14 18 15 17 19 28 31 4 24 18 27 14 15 18 2 8 12 8 11 9
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-----
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**Gff**
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@@ -36,7 +36,7 @@ def __main__():
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datatype = sys.argv[4]
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seq_title_startswith = ''
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qual_title_startswith = ''
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default_coding_value = 33
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default_coding_value = 64
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fastq_block_lines = 0
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for i, line in enumerate( file( infile_name ) ):
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@@ -92,10 +92,6 @@ def __main__():
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# digits
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qual = line
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else:
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if datatype == 'fastqsolexa':
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outfile_seq.close()
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outfile_score.close()
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stop_err( "This tool currently only works with the fastq solexa variant if the socres are integers, not ascii." )
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# ascii
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quality_score_length = len( line )
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if quality_score_length == read_length + 1:
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@@ -107,7 +103,7 @@ def __main__():
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else:
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stop_err( 'Invalid fastq format at line %d: the number of quality scores ( %d ) is not the same as bases ( %d ).' % ( i + 1, quality_score_length, read_length ) )
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for j, char in enumerate( line ):
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score = ord( char ) - qual_score_startswith # 33
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score = ord( char ) - qual_score_startswith # 64
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qual = "%s%s " % ( qual, str( score ) )
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outfile_score.write( '%s\n' % qual )
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@@ -2,7 +2,7 @@
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<description>extracts sequences and quality scores from FASTQ data</description>
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<command interpreter="python">fastq_to_fasta_qual.py $input1 $output1 $output2 $input1.extension</command>
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<inputs>
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<param name="input1" type="data" format="fastq,fastqsolexa" label="Fastq file"/>
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<param name="input1" type="data" format="fastqsolexa" label="Fastq file"/>
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</inputs>
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<outputs>
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<data name="output1" format="fasta"/>
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@@ -11,11 +11,11 @@
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<tests>
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<!-- NOTE: this tool generates 2 output files, but our functional tests currently only handle the last one generated -->
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<test>
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<param name="input1" value="1.fastq" ftype="fastq" />
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<param name="input1" value="1.fastq" ftype="fastqsolexa" />
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<output name="output1" file="fastq_to_fasta_qual_out2.fasta" />
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</test>
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<test>
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<param name="input1" value="1.fastqsolexa" ftype="fastq" />
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<param name="input1" value="1.fastqsolexa" ftype="fastqsolexa" />
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<output name="output1" file="fastq_to_fasta_qual_out4.fasta" />
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</test>
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</tests>
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@@ -23,13 +23,13 @@
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.. class:: warningmark
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IMPORTANT: With the Fastq Solexa variant, this tool currently only works with data where the quality scores are integers, ASCII quality scores are not supported.
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IMPORTANT: This tool currently only support data where the quality scores are integers or ASCII quality scores with base 64.
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-----
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**What it does**
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This tool extracts sequences and quality scores from FASTQ data ( both Sanger/Standard and Solexa variants ), producing a FASTA dataset and a QUAL dataset. With the Solexa variant, this tool currently only works with data where the quality scores are integers, ASCII quality scores are not supported.
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This tool extracts sequences and quality scores from FASTQ data ( Solexa variants ), producing a FASTA dataset and a QUAL dataset.
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-----
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@@ -37,38 +37,28 @@ This tool extracts sequences and quality scores from FASTQ data ( both Sanger/St
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- Converting the following Sanger/Standard fastq data::
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@EAS54_6_R1_2_1_413_324
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CCCTTCTTGTCTTCAGCGTTTCTCC
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+
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;;3;;;;;;;;;;;;7;;;;;;;88
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@EAS54_6_R1_2_1_540_792
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TTGGCAGGCCAAGGCCGATGGATCA
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+
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;;;;;;;;;;;7;;;;;-;;;3;83
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@EAS54_6_R1_2_1_443_348
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GTTGCTTCTGGCGTGGGTGGGGGGG
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+EAS54_6_R1_2_1_443_348
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;;;;;;;;;;;9;7;;.7;393333
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@seq1
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GACAGCTTGGTTTTTAGTGAGTTGTTCCTTTCTTT
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+seq1
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hhhhhhhhhhhhhhhhhhhhhhhhhhPW@hhhhhh
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@seq2
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GCAATGACGGCAGCAATAAACTCAACAGGTGCTGG
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+seq2
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hhhhhhhhhhhhhhYhhahhhhWhAhFhSIJGChO
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- will extract the following sequences::
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>EAS54_6_R1_2_1_413_324
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CCCTTCTTGTCTTCAGCGTTTCTCC
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>EAS54_6_R1_2_1_540_792
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TTGGCAGGCCAAGGCCGATGGATCA
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>EAS54_6_R1_2_1_443_348
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GTTGCTTCTGGCGTGGGTGGGGGGG
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>seq1
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GACAGCTTGGTTTTTAGTGAGTTGTTCCTTTCTTT
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>seq2
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GCAATGACGGCAGCAATAAACTCAACAGGTGCTGG
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- and quality scores::
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>EAS54_6_R1_2_1_413_324
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26 26 18 26 26 26 26 26 26 26 26 26 26 26 26 22 26 26 26 26 26 26 26 23 23
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>EAS54_6_R1_2_1_540_792
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26 26 26 26 26 26 26 26 26 26 26 22 26 26 26 26 26 12 26 26 26 18 26 23 18
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>EAS54_6_R1_2_1_443_348
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26 26 26 26 26 26 26 26 26 26 26 24 26 22 26 26 13 22 26 18 24 18 18 18 18
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>seq1
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40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 16 23 0 40 40 40 40 40 40
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>seq2
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40 40 40 40 40 40 40 40 40 40 40 40 40 40 25 40 40 33 40 40 40 40 23 40 1 40 6 40 19 9 10 7 3 40 15
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**Example2**
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