Mercurial > repos > peterjc > tmhmm_and_signalp

annotate tools/protein_analysis/psortb.xml @ 27:9e36a1b9302d draft

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planemo upload for repository https://github.com/peterjc/pico_galaxy/tools/protein_analysis commit 3c6f0dca0e1318eecd1e07d177ffc5752b4f6c95
author peterjc
date Thu, 21 May 2015 10:57:40 -0400
parents 20139cb4c844
children 6d9d7cdf00fc
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1 <tool id="Psortb" name="psortb" version="0.0.7">
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2 <description>Determines sub-cellular localisation of bacterial/archaeal protein sequences</description>
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3 <!-- If job splitting is enabled, break up the query file into parts -->
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4 <!-- Using 2000 chunks meaning 4 threads doing 500 each is ideal -->
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5 <parallelism method="basic" split_inputs="fasta_file" split_mode="to_size" split_size="2000" merge_outputs="tabular_file"></parallelism>
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6 <requirements>
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7 <requirement type="binary">psort</requirement>
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8 <requirement type="package">psort</requirement>
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9 </requirements>
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10 <stdio>
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11 <!-- Anything other than zero is an error -->
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12 <exit_code range="1:" />
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13 <exit_code range=":-1" />
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14 </stdio>
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15 <version_command interpreter="python">psortb.py --version</version_command>
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16 <command interpreter="python">
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17 psortb.py "\$GALAXY_SLOTS" "$type" "$long" "$cutoff" "$divergent" "$sequence" "$outfile"
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18 ##If the environment variable isn't set, get "", and python wrapper
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19 ##defaults to four threads.
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20 </command>
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21 <inputs>
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22 <param format="fasta" name="sequence" type="data"
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23 label="Input sequences for which to predict localisation (protein FASTA format)" />
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24 <param name="type" type="select"
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25 label="Organism type (N.B. all sequences in the above file must be of the same type)" >
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26 <option value="-p">Gram positive bacteria</option>
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27 <option value="-n">Gram negative bacteria</option>
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28 <option value="-a">Archaea</option>
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29 </param>
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30 <param name="long" type="select" label="Output type">
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31 <option value="terse">Short (terse, tabular with 3 columns)</option>
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32 <!-- The normal output is text, not tabular - worth offering?
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33 <option value="normal">Normal</option>
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34 -->
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35 <option value="long">Long (verbose, tabular with about 30 columns, depending on organism type)</option>
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36 </param>
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37 <param name="cutoff" size="10" type="float" optional="true" value=""
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38 label="Sets a cutoff value for reported results (e.g. 7.5)"
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39 help="Leave blank or use zero for no cutoff." />
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40 <param name="divergent" size="10" type="float" optional="true" value=""
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41 label="Sets a cutoff value for the multiple localization flag (e.g. 4.5)"
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42 help="Leave blank or use zero for no cutoff." />
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43 </inputs>
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44 <outputs>
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45 <data format="tabular" name="outfile" />
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46 </outputs>
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47 <tests>
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48 <test>
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49 <param name="sequence" value="empty.fasta" ftype="fasta"/>
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50 <param name="long" value="terse"/>
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51 <output name="outfile" file="empty_psortb_terse.tabular" ftype="tabular"/>
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52 </test>
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53 <test>
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54 <param name="sequence" value="k12_ten_proteins.fasta" ftype="fasta"/>
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55 <param name="long" value="terse"/>
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56 <output name="outfile" file="k12_ten_proteins_psortb_p_terse.tabular" ftype="tabular"/>
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57 </test>
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58 </tests>
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59 <help>
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60
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61 **What it does**
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62
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63 This calls the command line tool PSORTb v3.0 for prediction of prokaryotic
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64 localization sites. The input dataset needs to be protein FASTA sequences.
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65 The default output is a simple tabular file with three columns, one row
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66 per query sequence:
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67
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68 ====== ==============================
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69 Column Description
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70 ------ ------------------------------
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71 1 Sequence identifier
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72 2 Localisation, e.g. Cytoplasmic
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73 3 Score
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74 ====== ==============================
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75
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76 The long output is also tabular with one row per query sequence, but has
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77 lots more columns (a different set for each supported organism type). In
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78 both cases, a simple header line is included (starting with a hash, #,
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79 so that Galaxy treats it as a comment) giving the column names.
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80
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81
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82 **References**
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83
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84 If you use this Galaxy tool in work leading to a scientific publication please
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85 cite the following papers:
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86
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87 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013).
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88 Galaxy tools and workflows for sequence analysis with applications
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89 in molecular plant pathology. PeerJ 1:e167
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90 http://dx.doi.org/10.7717/peerj.167
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91
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92 N.Y. Yu, J.R. Wagner, M.R. Laird, G. Melli, S. Rey, R. Lo, P. Dao,
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93 S.C. Sahinalp, M. Ester, L.J. Foster, F.S.L. Brinkman (2010)
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94 PSORTb 3.0: Improved protein subcellular localization prediction with
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95 refined localization subcategories and predictive capabilities for all
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96 prokaryotes, Bioinformatics 26(13):1608-1615
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97 http://dx.doi.org/10.1093/bioinformatics/btq249
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98
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99 See also http://www.psort.org/documentation/index.html
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100
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101 This wrapper is available to install into other Galaxy Instances via the Galaxy
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102 Tool Shed at http://toolshed.g2.bx.psu.edu/view/peterjc/tmhmm_and_signalp
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103 </help>
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104 <citations>
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105 <citation type="doi">10.7717/peerj.167</citation>
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106 <citation type="doi">10.1093/bioinformatics/btq249</citation>
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107 </citations>
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108 </tool>