Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world

Identifying the population structure of the newly emerged coronavirus SARS-CoV-2 has significant potential to inform public health management and diagnosis. As SARS-CoV-2 sequencing data accrued, grouping them into clusters is important for organizing the landscape of the population structure of the...

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Detalles Bibliográficos
Autores principales: Li, Yawei, Liu, Qingyun, Zeng, Zexian, Luo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629198/
https://www.ncbi.nlm.nih.gov/pubmed/34845455
http://dx.doi.org/10.1101/2020.09.04.283358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629198/
https://www.ncbi.nlm.nih.gov/pubmed/34845455
http://dx.doi.org/10.1101/2020.09.04.283358

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