Mercurial > repos > jay > pdaug_sequence_similarity_network
comparison 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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1 <tool id="pdaug_sequence_similarity_network" name="PDAUG Sequence Similarity Network" version="0.1.0" python_template_version="3.6"> | |
2 <description>Generates a sequence similarity network</description> | |
3 | |
4 <requirements> | |
5 <requirement type="package" version="0.12.0">python-Levenshtein</requirement> | |
6 <requirement type="package" version="3.2.2">matplotlib</requirement> | |
7 <requirement type="package" version="2.5">networkx</requirement> | |
8 </requirements> | |
9 | |
10 <command detect_errors="exit_code"><![CDATA[ | |
11 | |
12 python '$__tool_directory__/PDAUG_Sequence_Network.py' --InFile '$input1' --OutFile 'out.png' | |
13 ]]></command> | |
14 | |
15 <inputs> | |
16 <param name="input1" type="data" format="fasta" label="Input fasta file" argument= "--InFile" help="Input fasta file with peptides"/> | |
17 | |
18 </inputs> | |
19 | |
20 <outputs> | |
21 <data name='output2' format='png' label="${tool.name} on $on_string - (PNG)" from_work_dir="out.png" /> | |
22 | |
23 </outputs> | |
24 | |
25 <tests> | |
26 <test> | |
27 <param name="input1" value="positive.fasta"/> | |
28 <output name="output2" file="out.png" compare="sim_size" delta="10000" /> | |
29 </test> | |
30 </tests> | |
31 | |
32 <help><![CDATA[ | |
33 .. class:: infomark | |
34 | |
35 **What it does** | |
36 | |
37 This tool calculates Levenshtein distance between peptide sequences and plots the data in the form of a sequence similarity network. | |
38 | |
39 ----- | |
40 | |
41 **Inputs** | |
42 * **--InFile** Takes peptide sequences as fasta file. | |
43 | |
44 ----- | |
45 | |
46 **Outputs** | |
47 * Return html report file.]]></help> | |
48 <citations> | |
49 <citation type="bibtex"> | |
50 @misc{PDAUGGITHUB, | |
51 author = {Joshi, Jayadev and Blankenberg, Daniel}, | |
52 year = {2020}, | |
53 title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, | |
54 publisher = {GitHub}, | |
55 journal = {GitHub repository}, | |
56 url = | |
57 {https://github.com/jaidevjoshi83/pdaug.git}, | |
58 } | |
59 </citation> | |
60 </citations> | |
61 </tool> | |
62 | |
63 | |
64 |