Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes

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 novel coronavirus (2019-nCoV) 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 2019-nCoV. 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.

Errataetall:

UpdateIn: Bioinformatics. 2020 Jun 1;36(11):3552-3555. - PMID 32108862

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - year:2020

Enthalten in:

bioRxiv : the preprint server for biology - (2020) vom: 02. Feb.

Sprache:

Englisch

Beteiligte Personen:

Cleemput, Sara [VerfasserIn]
Dumon, Wim [VerfasserIn]
Fonseca, Vagner [VerfasserIn]
Karim, Wasim Abdool [VerfasserIn]
Giovanetti, Marta [VerfasserIn]
Alcantara, Luiz Carlos [VerfasserIn]
Deforche, Koen [VerfasserIn]
de Oliveira, Tulio [VerfasserIn]

Links:

Volltext

Themen:

2019-nCoV
Coronavirus
Mutations
Phylogenetic
Preprint
SARS
Viral classification

Anmerkungen:

Date Revised 25.04.2024

published: Electronic

UpdateIn: Bioinformatics. 2020 Jun 1;36(11):3552-3555. - PMID 32108862

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2020.01.31.928796

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310907799