Computational Analysis and Phylogenetic Clustering of SARS-CoV-2 Genomes.
Bio Protoc
; 11(8): e3999, 2021 Apr 20.
Article
in English
| MEDLINE | ID: covidwho-1229580
ABSTRACT
COVID-19, the disease caused by the novel SARS-CoV-2 coronavirus, originated as an isolated outbreak in the Hubei province of China but soon created a global pandemic and is now a major threat to healthcare systems worldwide. Following the rapid human-to-human transmission of the infection, institutes around the world have made efforts to generate genome sequence data for the virus. With thousands of genome sequences for SARS-CoV-2 now available in the public domain, it is possible to analyze the sequences and gain a deeper understanding of the disease, its origin, and its epidemiology. Phylogenetic analysis is a potentially powerful tool for tracking the transmission pattern of the virus with a view to aiding identification of potential interventions. Toward this goal, we have created a comprehensive protocol for the analysis and phylogenetic clustering of SARS-CoV-2 genomes using Nextstrain, a powerful open-source tool for the real-time interactive visualization of genome sequencing data. Approaches to focus the phylogenetic clustering analysis on a particular region of interest are detailed in this protocol.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
Bio Protoc
Year:
2021
Document Type:
Article
Affiliation country:
BioProtoc.3999
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