comparison tools/protein_analysis/wolf_psort.xml @ 5:0f1c61998b22

Migrated tool version 0.0.8 from old tool shed archive to new tool shed repository
author peterjc
date Tue, 07 Jun 2011 18:06:27 -0400
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4:81caef04ce8b 5:0f1c61998b22
1 <tool id="wolf_psort" name="WoLF PSORT" version="0.0.1">
2 <description>Eukaryote protein subcellular localization prediction</description>
3 <command interpreter="python">
4 wolf_psort.py $organism 8 $fasta_file $tabular_file
5 ##I want the number of threads to be a Galaxy config option...
6 </command>
7 <inputs>
8 <param name="fasta_file" type="data" format="fasta" label="FASTA file of protein sequences"/>
9 <param name="organism" type="select" display="radio" label="Organism">
10 <option value="animal">Animal</option>
11 <option value="plant">Plant</option>
12 <option value="fungi">Fungi</option>
13 </param>
14 </inputs>
15 <outputs>
16 <data name="tabular_file" format="tabular" label="WoLF PSORT $organism results" />
17 </outputs>
18 <requirements>
19 <requirement type="binary">runWolfPsortSummary</requirement>
20 </requirements>
21 <help>
22
23 **What it does**
24
25 This calls the WoLF PSORT tool for prediction of eukaryote protein subcellular localization.
26
27 The input is a FASTA file of protein sequences, and the output is tabular with four columns (multiple rows per protein):
28
29 * Sequence identifier
30 * Compartment
31 * Score
32 * Prediction rank
33
34
35 **Localization Compartments**
36
37 The table below gives the WoLF PSORT localization site definitions, and the corresponding Gene Ontology (GO) term.
38
39 ====== ===================== =====================
40 Abbrev Localization Site GO Cellular Component
41 ------ --------------------- ---------------------
42 chlo chloroplast 0009507, 0009543
43 cyto cytosol 0005829
44 cysk cytoskeleton 0005856(2)
45 E.R. endoplasmic reticulum 0005783
46 extr extracellular 0005576, 0005618
47 golg Golgi apparatus 0005794(1)
48 lyso lysosome 0005764
49 mito mitochondria 0005739
50 nucl nuclear 0005634
51 pero peroxisome 0005777(2)
52 plas plasma membrane 0005886
53 vacu vacuolar membrane 0005774(2)
54 ====== ===================== =====================
55
56 Additionally compound predictions like mito_nucl are also given.
57
58
59 **Notes**
60
61 The raw output from WoLF PSORT looks like this (space separated), showing two proteins:
62
63 ================================ ============================================
64 gi|301087619|ref|XP_002894699.1| extr 12, mito 4, E.R. 3, golg 3, mito_nucl 3
65 gi|301087623|ref|XP_002894700.1| extr 21, mito 2, cyto 2, cyto_mito 2
66 ================================ ============================================
67
68 This is reformatted into a tabular file as follows for use in Galaxy:
69
70 ================================ =========== ===== ====
71 #ID Compartment Score Rank
72 -------------------------------- ----------- ----- ----
73 gi|301087619|ref|XP_002894699.1| extr 12 1
74 gi|301087619|ref|XP_002894699.1| mito 4 2
75 gi|301087619|ref|XP_002894699.1| E.R. 3 3
76 gi|301087619|ref|XP_002894699.1| golg 3 4
77 gi|301087619|ref|XP_002894699.1| mito_nucl 3 5
78 gi|301087623|ref|XP_002894700.1| extr 21 1
79 gi|301087623|ref|XP_002894700.1| mito 2 2
80 gi|301087623|ref|XP_002894700.1| cyto 2 3
81 gi|301087623|ref|XP_002894700.1| cyto_mito 2 4
82 ================================ =========== ===== ====
83
84 This way you can easily filter for things like having a top prediction for
85 mitochondria (c2=='mito' and c4==1), or extracellular with a score of at
86 least 10 (c2=='extr' and 10&lt;=c3), and so on.
87
88
89 **References**
90
91 Paul Horton, Keun-Joon Park, Takeshi Obayashi, Naoya Fujita, Hajime Harada, C.J. Adams-Collier, and Kenta Nakai,
92 WoLF PSORT: Protein Localization Predictor.
93 Nucleic Acids Research, 35(S2), W585-W587, doi:10.1093/nar/gkm259, 2007.
94
95 Paul Horton, Keun-Joon Park, Takeshi Obayashi and Kenta Nakai.
96 Protein Subcellular Localization Prediction with WoLF PSORT.
97 Proceedings of the 4th Annual Asia Pacific Bioinformatics Conference APBC06, Taipei, Taiwan. pp. 39-48, 2006.
98
99 http://wolfpsort.org
100
101 </help>
102 </tool>