CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
02 09 2022
02 09 2022
Historique:
received:
02
04
2021
revised:
13
05
2022
accepted:
13
06
2022
pubmed:
9
7
2022
medline:
15
11
2022
entrez:
8
7
2022
Statut:
ppublish
Résumé
The ongoing pandemic caused by SARS-CoV-2 emphasizes the importance of genomic surveillance to understand the evolution of the virus, to monitor the viral population, and plan epidemiological responses. Detailed analysis, easy visualization and intuitive filtering of the latest viral sequences are powerful for this purpose. We present CovRadar, a tool for genomic surveillance of the SARS-CoV-2 Spike protein. CovRadar consists of an analytical pipeline and a web application that enable the analysis and visualization of hundreds of thousand sequences. First, CovRadar extracts the regions of interest using local alignment, then builds a multiple sequence alignment, infers variants and consensus and finally presents the results in an interactive app, making accessing and reporting simple, flexible and fast. CovRadar is freely accessible at https://covradar.net, its open-source code is available at https://gitlab.com/dacs-hpi/covradar. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 35799354
pii: 6633303
doi: 10.1093/bioinformatics/btac411
doi:
Substances chimiques
spike protein, SARS-CoV-2
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4223-4225Subventions
Organisme : European Centers for Disease Control
ID : ECDC GRANT/2021/008 ECD.12222
Organisme : Bundesministerium für Bildung und Forschung
ID : 031L0175C
Organisme : Bundesministerium für Wirtschaft und Klimaschutz Daten- und KI-gestütztes Frühwarnsystem zur Stabilisierung der deutschen Wirtschaft
ID : 01MK21009E
Organisme : German Network for Bioinformatics Infrastructure
ID : 031A537B
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.