annotate tools/clinod/clinod.xml @ 3:6a9debe4b860 draft

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author peterjc
date Wed, 18 Sep 2013 06:09:33 -0400
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1 <tool id="clinod" name="Nucleolar localization sequence Detector (NoD)" version="0.0.5">
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2 <description>Find nucleolar localization signals (NoLSs) in protein sequences</description>
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3 <requirements>
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4 <requirement type="binary">java</requirement>
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5 <requirement type="package" version="1.3">clinod</requirement>
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6 </requirements>
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7 <command>
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8 ##The Galaxy Tool Shed installation should define $CLINOD to point at folder
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9 ##containing both clinod-1.3.jar and the batchman binary:
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10 java -jar \$CLINOD/clinod-1.3.jar -in="$fasta_file" -out="$tabular_file" -t=2 -f=MEDIUM_TAB -nonols -clean_sequence
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11 ##I want the number of threads to be a Galaxy config option...
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12 ##TODO - Make the -clean_sequence argument a parameter?
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13 </command>
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14 <stdio>
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15 <!-- Assume anything other than zero is an error -->
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16 <exit_code range="1:" />
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17 <exit_code range=":-1" />
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18 </stdio>
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19 <inputs>
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20 <param name="fasta_file" type="data" format="fasta" label="FASTA file of protein sequences"/>
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21 </inputs>
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22 <outputs>
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23 <data name="tabular_file" format="tabular" label="NoD results" />
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24 </outputs>
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25 <tests>
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26 <test>
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27 <param name="fasta_file" value="four_human_proteins.fasta" ftype="fasta" />
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28 <output name="tabular_file" file="four_human_proteins.clinod-1.3.tabular" ftype="tabular" />
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29 </test>
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30 </tests>
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31 <help>
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32
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33 **What it does**
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34
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35 This calls the command line version of the NoD tool from the Barton Group for
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36 prediction of nucleolar localization sequences (NoLSs). The NoD tool uses an
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37 artificial neural network trained on a set of human NoLSs.
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38
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39 The nucleolus is a sub-compartmentof the nucleus, thus an NoLS can be regarded
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40 as a special nuclear localization sequence (NLS).
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41
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42 The input is a FASTA file of protein sequences, and the output is tabular with
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43 four columns (multiple rows per protein):
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44
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45 ====== ===================
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46 Column Description
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47 ------ -------------------
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48 1 Sequence identifier
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49 2 Start of NoLS
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50 3 End of NoLS
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51 4 NoLS sequence
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52 ====== ===================
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53
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54 If a sequence has no predicted NoLS, then there is no line in the output file
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55 for it.
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56
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57 -----
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58
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59 **References**
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60
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61 If you use this Galaxy tool in work leading to a scientific publication please
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62 cite the following papers:
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63
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64 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013).
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65 Galaxy tools and workflows for sequence analysis with applications
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66 in molecular plant pathology. PeerJ 1:e167
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67 http://dx.doi.org/10.7717/peerj.167
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68
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69 M. S. Scott, F. M. Boisvert, M. D. McDowall, A. I. Lamond and G. J. Barton (2010).
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70 Characterization and prediction of protein nucleolar localization sequences.
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71 Nucleic Acids Research 38(21), 7388-7399.
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72 http://dx.doi.org/10.1093/nar/gkq653
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73
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74 M. S. Scott, P. V. Troshin and G. J. Barton (2011).
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75 NoD: a Nucleolar localization sequence detector for eukaryotic and viral proteins.
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76 BMC Bioinformatics, 12:317.
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77 http://dx.doi.org/10.1186/1471-2105-12-317
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78
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79 See also http://www.compbio.dundee.ac.uk/www-nod/
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80
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81 This wrapper is available to install into other Galaxy Instances via the Galaxy
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82 Tool Shed at http://toolshed.g2.bx.psu.edu/view/peterjc/clinod
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83
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84 </help>
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85 </tool>