VIRALpro: a tool to identify viral capsid and tail sequences

Clovis Galiez (1) , Magnan Christophe (2, 3) , François Coste (1) , Pierre Baldi (2, 3)

1 Dyliss - Dynamics, Logics and Inference for biological Systems and Sequences
2 Department of computer science [Irvine]
3 Institute for Genomics and Bioinformatics [Irvine]

ABSTRACT Motivation: Not only sequence data continues to outpace annotation information, but 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: The data, software, and corresponding web server are available from: http://scratch.proteomics.ics.uci.edu as part of the SCRATCH suite.

Mots clés: sequence annotation; capsid; tail protein; virus; machine learning

Domaines: Bio-informatique [q-bio.QM]; Intelligence artificielle [cs.AI]

Clovis Galiez, Magnan Christophe, François Coste, Pierre Baldi. VIRALpro: a tool to identify viral capsid and tail sequences. Bioinformatics, 2016, ⟨10.1093/bioinformatics/btv727⟩. ⟨hal-01242251⟩