Mercurial > repos > iuc > ont_fast5_api_compress_fast5
view compress_fast5.xml @ 1:52da1e2c82d3 draft
"planemo upload for repository https://github.com/nanoporetech/ont_fast5_api/ commit 2df36b6d30fd69ea532a4fd42daf4741363074f3"
author | iuc |
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date | Sun, 28 Jun 2020 14:51:16 -0400 |
parents | 7147b894702a |
children | 82c6009bc120 |
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<?xml version="1.0"?> <tool id="ont_fast5_api_compress_fast5" name="@TOOL_NAME@ Compress" version="@TOOL_VERSION@+galaxy0" profile="18.01"> <description>multi read file(s)</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <version_command><![CDATA[compress_fast5 -v]]></version_command> <command detect_errors="exit_code"><![CDATA[ ## initialize @INITIALIZE@ ## run compress_fast5 --recursive ## required @INPUTPATH@ @SAVEPATH@ @COMPRESSION@ ## optional @THREADS@ ## create tarball @TARBALL@ ]]></command> <inputs> <expand macro="input"/> <expand macro="compression"> <option value="vbz" selected="true">VBZ</option> </expand> </inputs> <outputs> <expand macro="output"/> </outputs> <tests> <!-- #1 default --> <test expect_num_outputs="1"> <param name="input_path" value="multi.fast5.tar"/> <output name="out_results"> <assert_contents> <has_size value="40960"/> </assert_contents> </output> </test> <!-- #2 --> <test expect_num_outputs="1"> <param name="input_path" value="multi.fast5.tar"/> <param name="compression" value="vbz_legacy_v0"/> <output name="out_results"> <assert_contents> <has_size value="40960"/> </assert_contents> </output> </test> <!-- #3 --> <test expect_num_outputs="1"> <param name="input_path" value="multi.fast5.tar"/> <param name="compression" value="gzip"/> <output name="out_results"> <assert_contents> <has_size value="40960"/> </assert_contents> </output> </test> </tests> <help><![CDATA[ .. class:: infomark **What it does** @WID@ *compress_fast5* copies and converts raw data between vbz and gzip compression formats. **Input** Multi read file(s) in FAST5 format that are stored in a flat TAR. **Output** Multi read FAST5 file(s) containing compressed reads that are stored in a flat TAR. Further detail of HDF5 data management strategies can be found `here <https://support.hdfgroup.org/HDF5/doc/Advanced/FileSpaceManagement/FileSpaceManagement.pdf>`_. .. class:: infomark **References** @REFERENCES@ ]]></help> <expand macro="citations"/> </tool>