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

被引：202

作者：

Chen, Chaoran ^{[1
,2
]}

Nadeau, Sarah ^{[1
,2
]}

Yared, Michael ^{[3
]}

Voinov, Philippe ^{[3
]}

Xie, Ning ^{[4
]}

Roemer, Cornelius ^{[2
,5
]}

Stadler, Tanja ^{[1
,2
]}

机构：

[1] Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland

[2] Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland

[3] Swiss Fed Inst Technol, Dept Comp Sci, CH-8092 Zurich, Switzerland

[4] Univ Zurich, Dept Informat, CH-8050 Zurich, Switzerland

[5] Univ Basel, Biozentrum, CH-4056 Basel, Switzerland

来源：

BIOINFORMATICS | 2022年 / 38卷 / 06期

基金：

瑞士国家科学基金会;

关键词：

D O I：

10.1093/bioinformatics/btab856

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1735 / 1737

页数：3

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