A database for retrieving information on SARS-CoV-2 S protein mutations based on correlation network analysis

Background: Over a million genomes and mutational analyses of SARS-CoV-2 are available in public databases, which reveal the phylogenetic tree of the virus. Although these data have enabled scientists to closely track the evolution and transmission dynamics of the virus at global and local scales, t...

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Bibliographic Details
Main Authors: Kitayama, R. (Author), Ogata, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher