Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

BACKGROUND: A mechanistic understanding of the spread of SARS-CoV-2 and diligent tracking of ongoing mutagenesis are of key importance to plan robust strategies for confining its transmission. Large numbers of available sequences and their dates of transmission provide an unprecedented opportunity t...

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Detalhes bibliográficos
Publicado no:Genome Biol
Main Authors: Garvin, Michael R., T. Prates, Erica, Pavicic, Mirko, Jones, Piet, Amos, B. Kirtley, Geiger, Armin, Shah, Manesh B., Streich, Jared, Felipe Machado Gazolla, Joao Gabriel, Kainer, David, Cliff, Ashley, Romero, Jonathon, Keith, Nathan, Brown, James B., Jacobson, Daniel
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7756312/
https://ncbi.nlm.nih.gov/pubmed/33357233
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02191-0
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