Mercurial > repos > peterjc > rxlr_venn_workflow
comparison README.rst @ 3:1a1ab2f2b5b5 draft
README file with clearer citation instructions.
author | peterjc |
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date | Mon, 19 Aug 2013 11:35:52 -0400 |
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children | 3c280e01b920 |
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1 This is package is a Galaxy workflow for comparing three RXLR prediction | |
2 methods with a Venn Diagram, and creates a FASTA file of any proteins | |
3 passing all three methods. | |
4 | |
5 See http://www.galaxyproject.org for information about the Galaxy Project. | |
6 | |
7 | |
8 Citation | |
9 ======== | |
10 | |
11 If you use this workflow directly, or a derivative of it, in work leading | |
12 to a scientific publication, please cite: | |
13 | |
14 Cock, P.J.A. and Pritchard, L. 2013. Galaxy as a platform for identifying | |
15 candidate pathogen effectors. Chapter 1 in "Plant-Pathogen Interactions: | |
16 Methods and Protocols (Second Edition)"; Methods in Molecular Biology. | |
17 Humana Press, Springer. In press. | |
18 | |
19 Whisson, S.C., Boevink, C.V., Moleleki, L., et al. (2007) | |
20 A translocation signal for delivery of oomycete effector proteins into | |
21 host plant cells. Nature 450:115-118. | |
22 http://dx.doi.org/10.1038/nature06203 | |
23 | |
24 Win, J., Morgan, W., Bos, J., et al. (2007) | |
25 Adaptive evolution has targeted the C-terminal domain of the RXLR effectors | |
26 of plant pathogenic oomycetes. The Plant Cell 19:2349-2369. | |
27 http://dx.doi.org/10.1105/tpc.107.051037 | |
28 | |
29 Bhattacharjee, S., Luisa Hiller, N., Liolios, K., et al. (2006) | |
30 The malarial host-targeting signal is conserved in the Irish potato famine | |
31 pathogen. PLoS Pathogens 2(5):e50. | |
32 http://dx.doi.org/10.1371/journal.ppat.0020050 | |
33 | |
34 | |
35 Availability | |
36 ============ | |
37 | |
38 This workflow is available to download and/or install from the main | |
39 Galaxy Tool Shed: | |
40 | |
41 http://toolshed.g2.bx.psu.edu/view/peterjc/rxlr_venn_workflow | |
42 | |
43 Test releases (which should not normally be used) are on the Test Tool Shed: | |
44 | |
45 http://testtoolshed.g2.bx.psu.edu/view/peterjc/rxlr_venn_workflow | |
46 | |
47 Development is being done on github here: | |
48 | |
49 https://github.com/peterjc/picobio/tree/master/galaxy_workflows/rxlr_venn_workflow | |
50 | |
51 | |
52 Dependencies | |
53 ============ | |
54 | |
55 These dependencies should be resolved automatically via the Galaxy Tool Shed: | |
56 | |
57 * http://toolshed.g2.bx.psu.edu/view/peterjc/tmhmm_and_signalp | |
58 * http://toolshed.g2.bx.psu.edu/view/peterjc/seq_filter_by_id | |
59 * http://toolshed.g2.bx.psu.edu/view/peterjc/venn_list | |
60 | |
61 However, at the time of writing those Galaxy tools have their own dependencies | |
62 required for this workflow which require manual installation (SignalP v3.0, | |
63 HMMER v2.0, and the R/Bioconductor package limma). | |
64 | |
65 | |
66 Developers | |
67 ========== | |
68 | |
69 This workflow is under source code control here: | |
70 | |
71 https://github.com/peterjc/picobio/tree/master/galaxy_workflows/rxlr_venn_workflow | |
72 | |
73 To prepare the tar-ball for uploading to the Tool Shed, I use this: | |
74 | |
75 $ tar -cf rxlr_venn_workflow.tar.gz README.rst repository_dependencies.xml rxlr_venn_workflow.ga | |
76 | |
77 Check this, | |
78 | |
79 $ tar -tzf rxlr_venn_workflow.tar.gz | |
80 README.rst | |
81 repository_dependencies.xml | |
82 rxlr_venn_workflow.ga |