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- W3154109978 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." @default.
- W3154109978 created "2021-04-26" @default.
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- W3154109978 date "2021-01-01" @default.
- W3154109978 modified "2023-09-25" @default.
- W3154109978 title "Computational Analysis and Phylogenetic Clustering of SARS-CoV-2 Genomes" @default.
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- W3154109978 doi "https://doi.org/10.21769/bioprotoc.3999" @default.
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