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