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. 2022 Mar 4;38(6):1735-1737.
doi: 10.1093/bioinformatics/btab856.

CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants

Chaoran Chen  1   2 , Sarah Nadeau  1   2 , Michael Yared  3 , Philippe Voinov  3 , Ning Xie  4 , Cornelius Roemer  2   5 , Tanja Stadler  1   2
Affiliations

CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants

Chaoran Chen et al. Bioinformatics. .

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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References

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Publication types

Supplementary concepts