Mercurial > repos > avowinkel > picard
diff picard_EstimateLibraryComplexity.xml @ 0:5166ed57b1c4 draft
Uploaded version 1.135
author | avowinkel |
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date | Mon, 06 Jul 2015 14:46:32 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/picard_EstimateLibraryComplexity.xml Mon Jul 06 14:46:32 2015 -0400 @@ -0,0 +1,132 @@ +<tool name="EstimateLibraryComplexity" id="picard_EstimateLibraryComplexity" version="1.135"> + <description>assess sequence library complexity from read sequences</description> + <macros> + <import>picard_macros.xml</import> + </macros> + <expand macro="requirements" /> + <command> + @java_options@ + + java -jar \$JAVA_JAR_PATH/picard.jar + EstimateLibraryComplexity + + INPUT="${inputFile}" + OUTPUT="${outFile}" + + MIN_IDENTICAL_BASES="${min_identical_bases}" + MAX_DIFF_RATE="${max_diff_rate}" + MIN_MEAN_QUALITY="${min_mean_quality}" + MAX_GROUP_RATIO="${max_group_ratio}" + #import pipes + READ_NAME_REGEX=${ pipes.quote( str( $read_name_regex ) ) or "''" } + OPTICAL_DUPLICATE_PIXEL_DISTANCE="${optical_duplicate_pixel_distance}" + + VALIDATION_STRINGENCY="${validation_stringency}" + QUIET=true + VERBOSITY=ERROR + + </command> + <inputs> + <param format="bam" name="inputFile" type="data" label="Select SAM/BAM dataset or dataset collection" help="If empty, upload or import a SAM/BAM dataset" /> + <param name="min_identical_bases" type="integer" value="5" label="The minimum number of bases at the starts of reads that must be identical for reads to be grouped together for duplicate detection" help="MIN_IDENTICAL_BASES; In effect total_reads / 4^max_id_bases reads will be compared at a time, so lower numbers will produce more accurate results but consume exponentially more memory and CPU; default=5"/> + <param name="max_diff_rate" type="float" value="0.03" label="The maximum rate of differences between two reads to call them identical" help="MAX_DIFF_RATE; default=0.03"/> + <param name="min_mean_quality" type="integer" min="0" max="93" value="20" label="The minimum mean quality of the bases in a read pair for the read to be analyzed" help="MIN_MEAN_QUALITY; Reads with lower average quality are filtered out and not considered in any calculations; default=20"/> + <param name="max_group_ratio" type="integer" value="500" label="Do not process self-similar groups that are this many times over the mean expected group size" help="MAX_GROUP_RATIO; I.e. if the input contains 10m read pairs and MIN_IDENTICAL_BASES is set to 5, then the mean expected group size would be approximately 10 reads; default-500"/> + + <param name="read_name_regex" type="text" size="40" value="[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*." label="Regular expression that can be used to parse read names in the incoming SAM/BAM dataset" help="READ_NAME_REGEX; Read names are parsed to extract three variables: tile/region, x coordinate and y coordinate. These values are used to estimate the rate of optical duplication in order to give a more accurate estimated library size. See help below for more info; default=[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*."> + <sanitizer> + <valid initial="string.printable"> + </valid> + </sanitizer> + </param> + <param name="optical_duplicate_pixel_distance" type="integer" value="100" min="0" max="500" label="The maximum offset between two duplicte clusters in order to consider them optical duplicates" help="OPTICAL_DUPLICATE_PIXEL_DISTANCE; default=100"/> + + <expand macro="VS" /> + + </inputs> + + <outputs> + <data format="tabular" name="outFile" label="${tool.name} on ${on_string}: Library complexity report"/> + </outputs> + + <tests> + <test> + <param name="inputFile" value="picard_EstimateLibraryComplexity.bam" ftype="bam"/> + <param name="min_identical_bases" value="5"/> + <param name="max_diff_rate" value="0.03"/> + <param name="min_mean_quality" value="20"/> + <param name="read_name_regex" value="[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*."/> + <param name="optical_duplicate_pixel_distance" value="100"/> + <param name="max_group_ratio" value="500"/> + <param name="validation_stringency" value="LENIENT"/> + <output name="outFile" file="picard_EstimateLibraryComplexity_test1.tab" ftype="tabular" lines_diff="4"/> + </test> + </tests> + + <stdio> + <exit_code range="1:" level="fatal"/> + </stdio> + + <help> + +**Purpose** + +Attempts to estimate library complexity from sequence of read pairs alone. Does so by sorting all reads by the first N bases (5 by default) +of each read and then comparing reads with the first N bases identical to each other for duplicates. Reads are considered to be duplicates +if they match each other with no gaps and an overall mismatch rate less than or equal to MAX_DIFF_RATE (0.03 by default). + +Reads of poor quality are filtered out so as to provide a more accurate estimate. The filtering removes reads with any no-calls in the first +N bases or with a mean base quality lower than MIN_MEAN_QUALITY across either the first or second read. + +Unpaired reads are ignored in this computation. +The algorithm attempts to detect optical duplicates separately from PCR duplicates and excludes these in the calculation of library size. + +Also, since there is no alignment to screen out technical reads one further filter is applied on the data. After examining all reads a Histogram +is built of [#reads in duplicate set -> #of duplicate sets]; all bins that contain exactly one duplicate set are then removed from the Histogram +as outliers before library size is estimated. + +@dataset_collections@ + +@description@ + + MIN_IDENTICAL_BASES=Integer The minimum number of bases at the starts of reads that must be identical for reads to be + grouped together for duplicate detection. In effect total_reads / 4^max_id_bases reads + will be compared at a time, so lower numbers will produce more accurate results but + consume exponentially more memory and CPU. Default value: 5. + + MAX_DIFF_RATE=Double The maximum rate of differences between two reads to call them identical. Default value: + 0.03. + + MIN_MEAN_QUALITY=Integer The minimum mean quality of the bases in a read pair for the read to be analyzed. Reads + with lower average quality are filtered out and not considered in any calculations. + Default value: 20. + + MAX_GROUP_RATIO=Integer Do not process self-similar groups that are this many times over the mean expected group + size. I.e. if the input contains 10m read pairs and MIN_IDENTICAL_BASES is set to 5, then + the mean expected group size would be approximately 10 reads. Default value: 500. + + READ_NAME_REGEX=String Regular expression that can be used to parse read names in the incoming SAM file. Read + names are parsed to extract three variables: tile/region, x coordinate and y coordinate. + These values are used to estimate the rate of optical duplication in order to give a more + accurate estimated library size. Set this option to null to disable optical duplicate + detection. The regular expression should contain three capture groups for the three + variables, in order. It must match the entire read name. Note that if the default regex + is specified, a regex match is not actually done, but instead the read name is split on + colon character. For 5 element names, the 3rd, 4th and 5th elements are assumed to be + tile, x and y values. For 7 element names (CASAVA 1.8), the 5th, 6th, and 7th elements + are assumed to be tile, x and y values. Default value: + [a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*. + + OPTICAL_DUPLICATE_PIXEL_DISTANCE=Integer + The maximum offset between two duplicte clusters in order to consider them optical + duplicates. This should usually be set to some fairly small number (e.g. 5-10 pixels) + unless using later versions of the Illumina pipeline that multiply pixel values by 10, in + which case 50-100 is more normal. Default value: 100. + + +@more_info@ + + </help> +</tool> + +