annotate 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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children a290c6d4e658
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0f1c61998b22 Migrated tool version 0.0.8 from old tool shed archive to new tool shed repository
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1 <tool id="wolf_psort" name="WoLF PSORT" version="0.0.1">
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2 <description>Eukaryote protein subcellular localization prediction</description>
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3 <command interpreter="python">
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4 wolf_psort.py $organism 8 $fasta_file $tabular_file
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5 ##I want the number of threads to be a Galaxy config option...
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6 </command>
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7 <inputs>
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8 <param name="fasta_file" type="data" format="fasta" label="FASTA file of protein sequences"/>
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9 <param name="organism" type="select" display="radio" label="Organism">
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10 <option value="animal">Animal</option>
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11 <option value="plant">Plant</option>
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12 <option value="fungi">Fungi</option>
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13 </param>
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14 </inputs>
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15 <outputs>
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16 <data name="tabular_file" format="tabular" label="WoLF PSORT $organism results" />
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17 </outputs>
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18 <requirements>
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19 <requirement type="binary">runWolfPsortSummary</requirement>
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20 </requirements>
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21 <help>
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22
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23 **What it does**
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24
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25 This calls the WoLF PSORT tool for prediction of eukaryote protein subcellular localization.
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26
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27 The input is a FASTA file of protein sequences, and the output is tabular with four columns (multiple rows per protein):
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28
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29 * Sequence identifier
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30 * Compartment
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31 * Score
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32 * Prediction rank
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33
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34
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35 **Localization Compartments**
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36
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37 The table below gives the WoLF PSORT localization site definitions, and the corresponding Gene Ontology (GO) term.
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38
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39 ====== ===================== =====================
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40 Abbrev Localization Site GO Cellular Component
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41 ------ --------------------- ---------------------
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42 chlo chloroplast 0009507, 0009543
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43 cyto cytosol 0005829
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44 cysk cytoskeleton 0005856(2)
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45 E.R. endoplasmic reticulum 0005783
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46 extr extracellular 0005576, 0005618
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47 golg Golgi apparatus 0005794(1)
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48 lyso lysosome 0005764
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49 mito mitochondria 0005739
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50 nucl nuclear 0005634
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51 pero peroxisome 0005777(2)
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52 plas plasma membrane 0005886
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53 vacu vacuolar membrane 0005774(2)
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54 ====== ===================== =====================
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55
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56 Additionally compound predictions like mito_nucl are also given.
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57
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58
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59 **Notes**
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60
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61 The raw output from WoLF PSORT looks like this (space separated), showing two proteins:
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62
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63 ================================ ============================================
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64 gi|301087619|ref|XP_002894699.1| extr 12, mito 4, E.R. 3, golg 3, mito_nucl 3
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65 gi|301087623|ref|XP_002894700.1| extr 21, mito 2, cyto 2, cyto_mito 2
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66 ================================ ============================================
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67
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68 This is reformatted into a tabular file as follows for use in Galaxy:
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69
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70 ================================ =========== ===== ====
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71 #ID Compartment Score Rank
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72 -------------------------------- ----------- ----- ----
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73 gi|301087619|ref|XP_002894699.1| extr 12 1
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74 gi|301087619|ref|XP_002894699.1| mito 4 2
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75 gi|301087619|ref|XP_002894699.1| E.R. 3 3
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76 gi|301087619|ref|XP_002894699.1| golg 3 4
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77 gi|301087619|ref|XP_002894699.1| mito_nucl 3 5
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78 gi|301087623|ref|XP_002894700.1| extr 21 1
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79 gi|301087623|ref|XP_002894700.1| mito 2 2
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80 gi|301087623|ref|XP_002894700.1| cyto 2 3
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81 gi|301087623|ref|XP_002894700.1| cyto_mito 2 4
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82 ================================ =========== ===== ====
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83
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84 This way you can easily filter for things like having a top prediction for
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85 mitochondria (c2=='mito' and c4==1), or extracellular with a score of at
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86 least 10 (c2=='extr' and 10&lt;=c3), and so on.
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87
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88
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89 **References**
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90
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91 Paul Horton, Keun-Joon Park, Takeshi Obayashi, Naoya Fujita, Hajime Harada, C.J. Adams-Collier, and Kenta Nakai,
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92 WoLF PSORT: Protein Localization Predictor.
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93 Nucleic Acids Research, 35(S2), W585-W587, doi:10.1093/nar/gkm259, 2007.
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94
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95 Paul Horton, Keun-Joon Park, Takeshi Obayashi and Kenta Nakai.
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96 Protein Subcellular Localization Prediction with WoLF PSORT.
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97 Proceedings of the 4th Annual Asia Pacific Bioinformatics Conference APBC06, Taipei, Taiwan. pp. 39-48, 2006.
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98
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99 http://wolfpsort.org
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100
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101 </help>
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102 </tool>