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CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes.
Chiara, Matteo; Zambelli, Federico; Tangaro, Marco Antonio; Mandreoli, Pietro; Horner, David S; Pesole, Graziano.
Afiliação
  • Chiara M; Department of Biosciences, University of Milan, 20133 Milan, Italy.
  • Zambelli F; Institute of Biomembranes, Bioenergetics and Molecular Biotechnology, National Research Council, 70126 Bari, Italy.
  • Tangaro MA; Department of Biosciences, University of Milan, 20133 Milan, Italy.
  • Mandreoli P; Institute of Biomembranes, Bioenergetics and Molecular Biotechnology, National Research Council, 70126 Bari, Italy.
  • Horner DS; Institute of Biomembranes, Bioenergetics and Molecular Biotechnology, National Research Council, 70126 Bari, Italy.
  • Pesole G; Department of Biosciences, University of Milan, 20133 Milan, Italy.
Bioinformatics ; 36(22-23): 5522-5523, 2021 Apr 01.
Article em En | MEDLINE | ID: mdl-33346830
ABSTRACT

SUMMARY:

While over 200 000 genomic sequences are currently available through dedicated repositories, ad hoc methods for the functional annotation of SARS-CoV-2 genomes do not harness all currently available resources for the annotation of functionally relevant genomic sites. Here, we present CorGAT, a novel tool for the functional annotation of SARS-CoV-2 genomic variants. By comparisons with other state of the art methods we demonstrate that, by providing a more comprehensive and rich annotation, our method can facilitate the identification of evolutionary patterns in the genome of SARS-CoV-2. AVAILABILITYAND IMPLEMENTATION Galaxy.http//corgat.cloud.ba.infn.it/galaxy; software https//github.com/matteo14c/CorGAT/tree/Revision_V1; docker https//hub.docker.com/r/laniakeacloud/galaxy_corgat. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália