CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants
Abstract Summary The CoV-Spectrum website supports the identification of new SARS-CoV-2 variants of concern and the tracking of known variants. Its flexible amino acid and nucleotide mutation search allows querying of variants before they are designated by a lineage nomenclature system. The platform...
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Published in | Bioinformatics Vol. 38; no. 6; pp. 1735 - 1737 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
04.03.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Abstract
Summary
The CoV-Spectrum website supports the identification of new SARS-CoV-2 variants of concern and the tracking of known variants. Its flexible amino acid and nucleotide mutation search allows querying of variants before they are designated by a lineage nomenclature system. The platform brings together SARS-CoV-2 data from different sources and applies analyses. Results include the proportion of different variants over time, their demographic and geographic distributions, common mutations, hospitalization and mortality probabilities, estimates for transmission fitness advantage and insights obtained from wastewater samples.
Availability and implementation
CoV-Spectrum is available at https://cov-spectrum.org. The code is released under the GPL-3.0 license at https://github.com/cevo-public/cov-spectrum-website. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1367-4803 1367-4811 1460-2059 1367-4811 |
DOI: | 10.1093/bioinformatics/btab856 |