Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19

Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations play in its spread within the population, in real time. To...

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Detalles Bibliográficos
Autores principales: de Hoffer, Adele, Vatani, Shahram, Cot, Corentin, Cacciapaglia, Giacomo, Chiusano, Maria Luisa, Cimarelli, Andrea, Conventi, Francesco, Giannini, Antonio, Hohenegger, Stefan, Sannino, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166699/
https://www.ncbi.nlm.nih.gov/pubmed/35661750
http://dx.doi.org/10.1038/s41598-022-12442-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166699/
https://www.ncbi.nlm.nih.gov/pubmed/35661750
http://dx.doi.org/10.1038/s41598-022-12442-8

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