Mercurial > repos > peterjc > rxlr_venn_workflow
comparison README.rst @ 14:25076bddafe8 draft
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author | peterjc |
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date | Fri, 25 Oct 2013 10:20:01 -0400 |
parents | 120d01a025a9 |
children | 00388d97c6e2 |
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50 ======== | 50 ======== |
51 | 51 |
52 If you use this workflow directly, or a derivative of it, in work leading | 52 If you use this workflow directly, or a derivative of it, in work leading |
53 to a scientific publication, please cite: | 53 to a scientific publication, please cite: |
54 | 54 |
55 Cock, P.J.A. and Pritchard, L. 2013. Galaxy as a platform for identifying | 55 Cock, P.J.A. and Pritchard, L. (2014). Galaxy as a platform for identifying |
56 candidate pathogen effectors. Chapter 1 in "Plant-Pathogen Interactions: | 56 candidate pathogen effectors. Chapter 1 in "Plant-Pathogen Interactions: |
57 Methods and Protocols (Second Edition)"; Methods in Molecular Biology. | 57 Methods and Protocols (Second Edition)"; P. Birch, J. Jones, and J.I. Bos, eds. |
58 Humana Press, Springer. In press. | 58 Methods in Molecular Biology. Humana Press, Springer. ISBN 978-1-62703-985-7. |
59 http://www.springer.com/life+sciences/plant+sciences/book/978-1-62703-985-7 | |
59 | 60 |
60 For the associated RXLR Galaxy tool, please cite: | 61 For the associated RXLR Galaxy tool, please cite: |
61 | 62 |
62 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013). | 63 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013). |
63 Galaxy tools and workflows for sequence analysis with applications | 64 Galaxy tools and workflows for sequence analysis with applications |