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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756312/
https://www.ncbi.nlm.nih.gov/pubmed/33357233
http://dx.doi.org/10.1186/s13059-020-02191-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756312/
https://www.ncbi.nlm.nih.gov/pubmed/33357233
http://dx.doi.org/10.1186/s13059-020-02191-0

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