CovRadar: Continuously tracking and filtering SARS-CoV-2 mutations for molecular surveillance

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Author(s)

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Alice Wittig

Published 1 Project

Bioinformatics

Fábio Miranda

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Bioinformatics

Martin Hölzer

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Bioinformatics

Tom Altenburg

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Bioinformatics

Jakub M Bartoszewicz

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Bioinformatics

Marius A Dieckmann

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Bioinformatics

Ulrich Genske

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Bioinformatics

Sven H Giese

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Bioinformatics

Melania Nowicka

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Bioinformatics

Henning Schiebenhoefer

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Bioinformatics

Anna-Juliane Schmachtenberg

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Bioinformatics

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Ming Tang

Bernhard Y Renard

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Bioinformatics

Stephan Fuchs

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Bioinformatics

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The ongoing pandemic caused by SARS-CoV-2 emphasizes the importance of molecular surveillance to understand the evolution of the virus and to monitor and plan the epidemiological responses. Quick analysis, easy visualization and convenient filtering of the latest viral sequences are essential for this purpose. We present CovRadar, a tool for molecular surveillance of the Corona spike protein. The spike protein contains the receptor binding domain (RBD) that is used as a target for most vaccine candidates. CovRadar consists of a workflow pipeline and a web application that enable the analysis and visualization of over 250,000 sequences. First, CovRadar extracts the regions of interest using local alignment, then builds a multiple sequence alignment, infers variants, consensus sequences and phylogenetic trees and finally presents the results in an interactive PDF-like app, making reporting fast, easy and flexible. CovRadar is freely accessible at https://covradar.net, its open-source code is available at https://gitlab.com/dacs-hpi/covradar.

Bioinformatics
Bioinformatics 64 Projects