Mercurial > repos > bgruening > deeptools_multi_bigwig_summary
comparison multiBigwigSummary.xml @ 1:3da3c3750962 draft
planemo upload for repository https://github.com/fidelram/deepTools/tree/master/galaxy/wrapper/ commit fef8b344925620444d93d8159c0b2731a5777920
author | bgruening |
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date | Mon, 15 Feb 2016 10:28:51 -0500 |
parents | bb542efec3b7 |
children | 7b4732d497a3 |
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0:bb542efec3b7 | 1:3da3c3750962 |
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1 <tool id="deeptools_multi_bigwig_summary" name="multiBigwigSummary" version="@WRAPPER_VERSION@.0"> | 1 <tool id="deeptools_multi_bigwig_summary" name="multiBigwigSummary" version="@WRAPPER_VERSION@.0"> |
2 <description>calculates average read coverages for a list of two or more bigwig files</description> | 2 <description>calculates average scores for a list of two or more bigwig files</description> |
3 <macros> | 3 <macros> |
4 <token name="@BINARY@">multiBigwigSummary</token> | 4 <token name="@BINARY@">multiBigwigSummary</token> |
5 <import>deepTools_macros.xml</import> | 5 <import>deepTools_macros.xml</import> |
6 </macros> | 6 </macros> |
7 <expand macro="requirements" /> | 7 <expand macro="requirements" /> |
63 help="Correlation is computed for the number of reads that overlap such regions."/> | 63 help="Correlation is computed for the number of reads that overlap such regions."/> |
64 </when> | 64 </when> |
65 </conditional> | 65 </conditional> |
66 | 66 |
67 <expand macro="region_limit_operation" /> | 67 <expand macro="region_limit_operation" /> |
68 <param argument="--outRawCounts" type="boolean" label="Save raw counts (coverages) to file" help=""/> | 68 <param argument="--outRawCounts" type="boolean" label="Save raw counts (scores) to file" help=""/> |
69 | 69 |
70 </inputs> | 70 </inputs> |
71 <outputs> | 71 <outputs> |
72 <data format="deeptools_coverage_matrix" name="outFile" label="${tool.name} on ${on_string}: correlation matrix" /> | 72 <data format="deeptools_coverage_matrix" name="outFile" label="${tool.name} on ${on_string}: correlation matrix" /> |
73 <data format="tabular" name="outFileRawCounts" label="${tool.name} on ${on_string}: bin counts"> | 73 <data format="tabular" name="outFileRawCounts" label="${tool.name} on ${on_string}: bin counts"> |
92 <output name="outFileName" file="multiBigwigSummary_result2.npz" ftype="deeptools_coverage_matrix" compare="sim_size" /> | 92 <output name="outFileName" file="multiBigwigSummary_result2.npz" ftype="deeptools_coverage_matrix" compare="sim_size" /> |
93 </test--> | 93 </test--> |
94 </tests> | 94 </tests> |
95 <help> | 95 <help> |
96 <![CDATA[ | 96 <![CDATA[ |
97 **What it does** | |
98 | 97 |
99 Given two or more bigWig files, multiBigwigSummary computes the average scores for each of the files in every genomic region. | 98 What it does |
100 This analysis is performed for the entire genome by running the program in 'bins' mode, or for certain user selected regions | 99 -------------- |
101 in 'BED-file' mode. Typically the output of multiBigwigSummary is used by other tools, such as 'plotCorrelation' or 'plotPCA', | 100 |
102 for visualization and diagnostic purposes. | 101 This tool computes the average scores for every genomic region for every bigWig file that is provided. In principle, it does the same as ``multiBamSummary``, but for bigWig files. |
102 | |
103 The analysis is performed for the entire genome by running the program in 'bins' mode, or for certain user selected regions (e.g., genes) in 'BED-file' mode. | |
104 | |
105 Typically the output of ``multiBigwigSummary`` is used by other tools, such as ``plotCorrelation`` or ``plotPCA``, for visualization and diagnostic purposes. | |
103 | 106 |
104 | 107 |
105 **Output files**: | 108 Output |
109 -------- | |
106 | 110 |
107 - **Coverage scores**: Coverage scores computed and saved in a format appropriate for 'plotCorrelation' or 'plotPCA'. | 111 The default output is a **compressed file** that can only be used with ``plotPCA`` or ``plotCorrelation``. |
108 | 112 |
109 - Data matrix (optional,select to save raw counts to a file above): If you want to have a look at the coverage values | 113 To analyze the average scores yourself, you can get the **uncompressed score matrix** where every row corresponds to a genomic region (or bin) and each column corresponds to a sample (BAM file). (To obtain this output file, select "Save raw counts (coverages) to file" ) |
110 or compute statistics yourself using a different program (like R). | 114 |
115 .. image:: $PATH_TO_IMAGES/multiBigwigSummary_output.png | |
116 :width: 600 | |
117 :height: 358 | |
111 | 118 |
112 ----- | 119 ----- |
113 | 120 |
114 @REFERENCES@ | 121 @REFERENCES@ |
115 ]]> | 122 ]]> |