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Bioinformatics. 2013 Jul 1;29(13):1693-5. doi: 10.1093/bioinformatics/btt265. Epub 2013 May 8.

DAPPLE: a pipeline for the homology-based prediction of phosphorylation sites.

Author information

1
Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada. brett.trost@usask.ca

Abstract

SUMMARY:

While many experimentally characterized phosphorylation sites exist for certain organisms, such as human, rat and mouse, few sites are known for other organisms, hampering related research efforts. We have developed a software pipeline called DAPPLE that automates the process of using known phosphorylation sites from other organisms to identify putative sites in an organism of interest.

AVAILABILITY:

DAPPLE is available as a web server at http://saphire.usask.ca.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
23658419
DOI:
10.1093/bioinformatics/btt265
[Indexed for MEDLINE]

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