Mercurial > repos > iuc > data_manager_mitos
diff data_manager/data_manager_mitos.xml @ 2:19d9be08560c draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/data_managers/data_manager_mitos commit 2db6284f6077d80d05227180a809b921b4975c60"
author | iuc |
---|---|
date | Sun, 22 Nov 2020 18:03:14 +0000 |
parents | 26a6f95e82c8 |
children | d9339bb8127e |
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--- a/data_manager/data_manager_mitos.xml Sun Nov 22 12:51:27 2020 +0000 +++ b/data_manager/data_manager_mitos.xml Sun Nov 22 18:03:14 2020 +0000 @@ -1,5 +1,5 @@ <?xml version="1.0"?> -<tool id="data_manager_mitos" name="MITOS" tool_type="manage_data" version="0.0.1"> +<tool id="data_manager_mitos" name="MITOS" tool_type="manage_data" version="0.0.2"> <description>reference data downloader</description> <requirements> <requirement type="package" version="3.7">python</requirement> @@ -25,13 +25,13 @@ </when> <when value="mitos2"> <param name="database" type="select" label="Reference data version"> - <option value="refseq39">RefSeq39 (equivalent to MITOS1 data)</option> <option value="refseq63m">RefSeq63 Metazoa</option> <option value="refseq63f">RefSeq63 Fungi</option> <option value="refseq63o">RefSeq63 Opisthokonta</option> <option value="refseq89m">RefSeq89 Metazoa</option> <option value="refseq89f">RefSeq89 Fungi</option> <option value="refseq89o">RefSeq89 Opisthokonta</option> + <option value="refseq39">RefSeq39 (equivalent to MITOS1 data)</option> </param> </when> </conditional> @@ -47,6 +47,13 @@ </conditional> <output name="out_file" file="mitos_refseq39.json"/> </test> + <test> + <conditional name="type_cond"> + <param name="type_select" value="mitos2"/> + <param name="database" value="refseq63m"/> + </conditional> + <output name="out_file" file="mitos2_refseq63.json"/> + </test> </tests> <help> This data manager downloads MITOS and MITOS2 reference data for use in Galaxy. @@ -74,7 +81,7 @@ - covariance models computed for the data in the RefSeq releas based on the MITOS1 models - in addition for Metazoa Release 63 also hidden markov models are available as described in Al Arab et al. 2017 -Data is downloaded from https://zenodo.org/record/3685310. +Data is downloaded from https://zenodo.org/record/4284483. </help> <citations> <citation type="doi">10.1016/j.ympev.2012.08.023</citation>