Mercurial > repos > jay > pdaug_sequence_similarity_network
diff PDAUG_Sequence_Network/PDAUG_Sequence_Network.xml @ 0:e650de82bcc7 draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
author | jay |
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date | Wed, 28 Oct 2020 01:50:00 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/PDAUG_Sequence_Network/PDAUG_Sequence_Network.xml Wed Oct 28 01:50:00 2020 +0000 @@ -0,0 +1,64 @@ +<tool id="pdaug_sequence_similarity_network" name="PDAUG Sequence Similarity Network" version="0.1.0" python_template_version="3.6"> + <description>Generates a sequence similarity network</description> + + <requirements> + <requirement type="package" version="0.12.0">python-Levenshtein</requirement> + <requirement type="package" version="3.2.2">matplotlib</requirement> + <requirement type="package" version="2.5">networkx</requirement> + </requirements> + + <command detect_errors="exit_code"><![CDATA[ + + python '$__tool_directory__/PDAUG_Sequence_Network.py' --InFile '$input1' --OutFile 'out.png' + ]]></command> + + <inputs> + <param name="input1" type="data" format="fasta" label="Input fasta file" argument= "--InFile" help="Input fasta file with peptides"/> + + </inputs> + + <outputs> + <data name='output2' format='png' label="${tool.name} on $on_string - (PNG)" from_work_dir="out.png" /> + + </outputs> + + <tests> + <test> + <param name="input1" value="positive.fasta"/> + <output name="output2" file="out.png" compare="sim_size" delta="10000" /> + </test> + </tests> + + <help><![CDATA[ +.. class:: infomark + +**What it does** + +This tool calculates Levenshtein distance between peptide sequences and plots the data in the form of a sequence similarity network. + +----- + +**Inputs** + * **--InFile** Takes peptide sequences as fasta file. + +----- + +**Outputs** + * Return html report file.]]></help> + <citations> +<citation type="bibtex"> + @misc{PDAUGGITHUB, + author = {Joshi, Jayadev and Blankenberg, Daniel}, + year = {2020}, + title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, + publisher = {GitHub}, + journal = {GitHub repository}, + url = + {https://github.com/jaidevjoshi83/pdaug.git}, + } +</citation> +</citations> +</tool> + + +