CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes | Zendy

Matteo Chiara | Zendy; Federico Zambelli | Zendy; M. A. Tangaro | Zendy; Pietro Mandreoli | Zendy; David S. Horner | Zendy; Graziano Pesole | Zendy

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CorGAT: a tool for the functional annotation of SARS-CoV-2 genomes

Author(s) -

Matteo Chiara,

Federico Zambelli,

M. A. Tangaro,

Pietro Mandreoli,

David S. Horner,

Graziano Pesole

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa1047

Subject(s) - annotation , genome , computational biology , computer science , software , identification (biology) , genomics , genome project , tree (set theory) , cloud computing , gene annotation , biology , genetics , gene , artificial intelligence , programming language , mathematical analysis , botany , mathematics , operating system

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.

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