AutoVEM2: A flexible automated tool to analyze candidate key mutations and epidemic trends for virus

In our previous work, we developed an automated tool, AutoVEM, for real-time monitoring the candidate key mutations and epidemic trends of SARS-CoV-2. In this research, we further developed AutoVEM into AutoVEM2. AutoVEM2 is composed of three modules, including call module, analysis module, and plot...

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Detalles Bibliográficos
Autores principales: Xi, Binbin, Chen, Zixi, Li, Shuhua, Liu, Wei, Jiang, Dawei, Bai, Yunmeng, Qu, Yimo, Lon, Jerome Rumdon, Huang, Lizhen, Du, Hongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416686/
https://www.ncbi.nlm.nih.gov/pubmed/34512928
http://dx.doi.org/10.1016/j.csbj.2021.09.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416686/
https://www.ncbi.nlm.nih.gov/pubmed/34512928
http://dx.doi.org/10.1016/j.csbj.2021.09.002

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