Title: Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes
Authors: Cleemput S, Dumon W, Fonseca V, Abdool Karim W, Giovanetti M, Alcantara LCJ, Deforche K, de Oliveira T.
Journal: Bioinformatics,btaa145, https://doi.org/10.1093/bioinformatics/btaa145: (2020)
Summary: Genome Detective is a web-based, user-friendly software application to quickly and accurately assemble all known virus genomes from next generation sequencing datasets. This application allows the identification of phylogenetic clusters and genotypes from assembled genomes in FASTA format. Since its release in 2019, we have produced a number of typing tools for emergent viruses that have caused large outbreaks, such as Zika and Yellow Fever Virus in Brazil. Here, we present The Genome Detective Coronavirus Typing Tool that can accurately identify the novel severe acute respiratory syndrome (SARS) related coronavirus (SARS-CoV-2) sequences isolated in China and around the world. The tool can accept up to 2,000 sequences per submission and the analysis of a new whole genome sequence will take approximately one minute. The tool has been tested and validated with hundreds of whole genomes from ten coronavirus species, and correctly classified all of the SARS-related coronavirus (SARSr-CoV) and all of the available public data for SARS-CoV-2. The tool also allows tracking of new viral mutations as the outbreak expands globally, which may help to accelerate the development of novel diagnostics, drugs and vaccines to stop the COVID-19 disease..
Availability: Available online: https://www.genomedetective.com/app/typingtool/cov
Supplementary information: Supplementary data is available online.
Open Reviewers Comments: Reviewers comments on the paper (deposited by senior author on 17 Feb 2020).
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Citation: Cleemput S, Dumon W, Fonseca V, Abdool Karim W, Giovanetti M, Alcantara LCJ, Deforche K, de Oliveira T. Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes Bioinformatics,btaa145, https://doi.org/10.1093/bioinformatics/btaa145: (2020).