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CovRadar

  • 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.

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Author details:Alice WittigORCiD, Fabio Malcher MirandaORCiD, Martin HölzerORCiD, Tom AltenburgORCiD, Jakub Maciej BartoszewiczORCiDGND, Sebastian BeyversORCiD, Marius Alfred Dieckmann, Ulrich GenskeORCiD, Sven Hans-Joachim GieseORCiDGND, Melania NowickaORCiDGND, Hugues Richard, Henning SchiebenhoeferORCiD, Anna-Juliane SchmachtenbergGND, Paul Sieben, Ming Tang, Julius Tembrockhaus, Bernhard Y. RenardORCiDGND, Stephan Fuchs
DOI:https://doi.org/10.1093/bioinformatics/btac411
ISSN:1367-4803
ISSN:1367-4811
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/35799354
Title of parent work (English):Bioinformatics
Subtitle (English):continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance
Publisher:Oxford Univ. Press
Place of publishing:Oxford
Publication type:Article
Language:English
Date of first publication:2022/07/07
Publication year:2022
Release date:2024/04/10
Volume:38
Issue:17
Number of pages:3
First page:4223
Last Page:4225
Funding institution:European Centers for Disease Control [ECDC] [2021/008 ECD.12222]; Bundesministerium für Bildung und Forschung [031L0175C, 01KI1905D]; Bundesministerium für Wirtschaft und Klimaschutz Daten-und KI-gestütztes; Frühwarnsystem zur Stabilisierung der deutschen Wirtschaft [01MK21009E]; German Network for Bioinformatics Infrastructure; de.NBI-cloud; [031A537B, 031A533A, 031A538A, 031A533B, 031A535A, 031A537C, 031A534A,; 031A532B]
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer review:Referiert
Publishing method:Open Access / Bronze Open-Access
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