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

Matteo Chiara; Federico Zambelli; Marco Antonio Tangaro; Pietro Mandreoli; David S Horner; Graziano Pesole

doi:10.1093/bioinformatics/btaa1047

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

Bioinformatics. 2021 Apr 1;36(22-23):5522-5523. doi: 10.1093/bioinformatics/btaa1047.

Authors

Matteo Chiara^{1

2}, Federico Zambelli^{1

2}, Marco Antonio Tangaro², Pietro Mandreoli^{1

2}, David S Horner^{1

2}, Graziano Pesole^{2

3}

Affiliations

¹ Department of Biosciences, University of Milan, 20133 Milan, Italy.
² Institute of Biomembranes, Bioenergetics and Molecular Biotechnology, National Research Council, 70126 Bari, Italy.
³ Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari "A. Moro", 70126 Bari, Italy.

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.

Abstract

Grants and funding