CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants.
CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants.
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DOI:
10.1093/bioinformatics/btab856
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发表时间:
2022-03-04
期刊:
影响因子:
--
通讯作者:
Stadler T
中科院分区:
文献类型:
--
作者:
Chen C;Nadeau S;Yared M;Voinov P;Xie N;Roemer C;Stadler T
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. 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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DOI:
10.1126/science.abg3055
发表时间:
2021-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者:
Edmunds WJ
影响因子:
64.8
作者:
通讯作者:
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影响因子:
30.8
作者:
Turakhia, Yatish;Thornlow, Bryan;Hinrichs, Angie S.;De Maio, Nicola;Gozashti, Landen;Lanfear, Robert;Haussler, David;Corbett-Detig, Russell
通讯作者:
Corbett-Detig, Russell
DOI:
10.1136/bmj.n579
发表时间:
2021-03-09
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Challen R;Brooks-Pollock E;Read JM;Dyson L;Tsaneva-Atanasova K;Danon L
通讯作者:
Danon L
影响因子:
64.8
作者:
Hodcroft, Emma B.;Zuber, Moira;Neher, Richard A.
通讯作者:
Neher, Richard A.