Mercurial > repos > peterjc > clinod
annotate tools/clinod/clinod.xml @ 3:6a9debe4b860 draft
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author | peterjc |
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date | Wed, 18 Sep 2013 06:09:33 -0400 |
parents | d1aebb0acee7 |
children | 4d9a4a43861b |
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2 | 1 <tool id="clinod" name="Nucleolar localization sequence Detector (NoD)" version="0.0.5"> |
2 <description>Find nucleolar localization signals (NoLSs) in protein sequences</description> | |
3 <requirements> | |
4 <requirement type="binary">java</requirement> | |
5 <requirement type="package" version="1.3">clinod</requirement> | |
6 </requirements> | |
7 <command> | |
8 ##The Galaxy Tool Shed installation should define $CLINOD to point at folder | |
9 ##containing both clinod-1.3.jar and the batchman binary: | |
10 java -jar \$CLINOD/clinod-1.3.jar -in="$fasta_file" -out="$tabular_file" -t=2 -f=MEDIUM_TAB -nonols -clean_sequence | |
11 ##I want the number of threads to be a Galaxy config option... | |
12 ##TODO - Make the -clean_sequence argument a parameter? | |
13 </command> | |
14 <stdio> | |
15 <!-- Assume anything other than zero is an error --> | |
16 <exit_code range="1:" /> | |
17 <exit_code range=":-1" /> | |
18 </stdio> | |
19 <inputs> | |
20 <param name="fasta_file" type="data" format="fasta" label="FASTA file of protein sequences"/> | |
21 </inputs> | |
22 <outputs> | |
23 <data name="tabular_file" format="tabular" label="NoD results" /> | |
24 </outputs> | |
25 <tests> | |
26 <test> | |
27 <param name="fasta_file" value="four_human_proteins.fasta" ftype="fasta" /> | |
28 <output name="tabular_file" file="four_human_proteins.clinod-1.3.tabular" ftype="tabular" /> | |
29 </test> | |
30 </tests> | |
31 <help> | |
32 | |
33 **What it does** | |
34 | |
35 This calls the command line version of the NoD tool from the Barton Group for | |
36 prediction of nucleolar localization sequences (NoLSs). The NoD tool uses an | |
37 artificial neural network trained on a set of human NoLSs. | |
38 | |
39 The nucleolus is a sub-compartmentof the nucleus, thus an NoLS can be regarded | |
40 as a special nuclear localization sequence (NLS). | |
41 | |
42 The input is a FASTA file of protein sequences, and the output is tabular with | |
43 four columns (multiple rows per protein): | |
44 | |
45 ====== =================== | |
46 Column Description | |
47 ------ ------------------- | |
48 1 Sequence identifier | |
49 2 Start of NoLS | |
50 3 End of NoLS | |
51 4 NoLS sequence | |
52 ====== =================== | |
53 | |
54 If a sequence has no predicted NoLS, then there is no line in the output file | |
55 for it. | |
56 | |
57 ----- | |
58 | |
59 **References** | |
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). |
2 | 70 Characterization and prediction of protein nucleolar localization sequences. |
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71 Nucleic Acids Research 38(21), 7388-7399. |
2 | 72 http://dx.doi.org/10.1093/nar/gkq653 |
73 | |
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74 M. S. Scott, P. V. Troshin and G. J. Barton (2011). |
2 | 75 NoD: a Nucleolar localization sequence detector for eukaryotic and viral proteins. |
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76 BMC Bioinformatics, 12:317. |
2 | 77 http://dx.doi.org/10.1186/1471-2105-12-317 |
78 | |
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79 See also http://www.compbio.dundee.ac.uk/www-nod/ |
2 | 80 |
81 This wrapper is available to install into other Galaxy Instances via the Galaxy | |
82 Tool Shed at http://toolshed.g2.bx.psu.edu/view/peterjc/clinod | |
83 | |
84 </help> | |
85 </tool> |