tetano
Editor, Senior Moderator
Bio Protoc
. 2021 Apr 20;11(8):e3999.
doi: 10.21769/BioProtoc.3999.
Computational Analysis and Phylogenetic Clustering of SARS-CoV-2 Genomes
Bani Jolly[SUP] 1 2 [/SUP], Vinod Scaria[SUP] 1 2 [/SUP]
Affiliations
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.
Keywords: COVID-19; Coronavirus; Genomes; Phylogenetic analysis; SARS-CoV-2.
. 2021 Apr 20;11(8):e3999.
doi: 10.21769/BioProtoc.3999.
Computational Analysis and Phylogenetic Clustering of SARS-CoV-2 Genomes
Bani Jolly[SUP] 1 2 [/SUP], Vinod Scaria[SUP] 1 2 [/SUP]
Affiliations
- PMID: 34124300
- PMCID: PMC8160537 (available on 2022-04-20)
- DOI: 10.21769/BioProtoc.3999
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.
Keywords: COVID-19; Coronavirus; Genomes; Phylogenetic analysis; SARS-CoV-2.