title: VIRALpro: a tool to identify viral capsid and tail sequences.
abstract: 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.
  
  
  
  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.
  
  
  
  The data, software and corresponding web server are available from http://scratch.proteomics.ics.uci.edu as part of the SCRATCH suite.
  
  
  
  clovis.galiez@inria.fr or pfbaldi@uci.edu
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: INRIA, Campus De Beaulieu, Rennes Cedex, 35042, France.
authors.forename: Clovis
authors.initials: C
authors.lastname: Galiez
authors.affiliation: Department of Computer Science and Institute for Genomics and Bioinformatics, University of California, Irvine, Irvine, CA 92697, USA.
authors.forename: Christophe N
authors.initials: CN
authors.lastname: Magnan
authors.affiliation: INRIA, Campus De Beaulieu, Rennes Cedex, 35042, France.
authors.forename: Francois
authors.initials: F
authors.lastname: Coste
authors.affiliation: Department of Computer Science and Institute for Genomics and Bioinformatics, University of California, Irvine, Irvine, CA 92697, USA.
authors.forename: Pierre
authors.initials: P
authors.lastname: Baldi
mesh_terms: D000595:Amino Acid Sequence; D002213:Capsid; D016679:Genome, Viral; D006801:Humans; D012984:Software