Clovis Galiez1, Christophe N Magnan2, Francois Coste1, Pierre Baldi2. 1. INRIA, Campus De Beaulieu, Rennes Cedex, 35042, France. 2. Department of Computer Science and Institute for Genomics and Bioinformatics, University of California, Irvine, Irvine, CA 92697, USA.
Abstract
MOTIVATION: Not only sequence data continue to outpace annotation information, but also the problem is further exacerbated when organisms are underrepresented in the annotation databases. This is the case with non-human-pathogenic viruses which occur frequently in metagenomic projects. Thus, there is a need for tools capable of detecting and classifying viral sequences. RESULTS: We describe VIRALpro a new effective tool for identifying capsid and tail protein sequences, which are the cornerstones toward viral sequence annotation and viral genome classification. AVAILABILITY AND IMPLEMENTATION: The data, software and corresponding web server are available from http://scratch.proteomics.ics.uci.edu as part of the SCRATCH suite. CONTACT: clovis.galiez@inria.fr or pfbaldi@uci.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
MOTIVATION: Not only sequence data continue to outpace annotation information, but also the problem is further exacerbated when organisms are underrepresented in the annotation databases. This is the case with non-human-pathogenic viruses which occur frequently in metagenomic projects. Thus, there is a need for tools capable of detecting and classifying viral sequences. RESULTS: We describe VIRALpro a new effective tool for identifying capsid and tail protein sequences, which are the cornerstones toward viral sequence annotation and viral genome classification. AVAILABILITY AND IMPLEMENTATION: The data, software and corresponding web server are available from http://scratch.proteomics.ics.uci.edu as part of the SCRATCH suite. CONTACT: clovis.galiez@inria.fr or pfbaldi@uci.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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