CoV-Spectrum：对全球共享的 SARS-CoV-2 数据进行分析，以识别和描述新的变体。
CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants.
机构信息
Department of Biosystems Science and Engineering, ETH Zürich, CH-4058 Basel, Switzerland.
Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.
出版信息
Bioinformatics. 2022 Mar 4;38(6):1735-1737. doi: 10.1093/bioinformatics/btab856.
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.
摘要
摘要
CoV-Spectrum 网站支持鉴定新的 SARS-CoV-2 关注变异株和追踪已知变异株。其灵活的氨基酸和核苷酸突变搜索允许在谱系命名系统指定变异株之前进行查询。该平台汇集了来自不同来源的 SARS-CoV-2 数据并应用分析。结果包括不同变异株随时间的比例、它们的人口统计学和地理分布、常见突变、住院和死亡率概率、传播适应优势的估计以及从废水样本中获得的见解。
可用性和实施
CoV-Spectrum 可在 https://cov-spectrum.org 上获得。该代码在 https://github.com/cevo-public/cov-spectrum-website 下以 GPL-3.0 许可证发布。
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