Unsupervised cluster analysis of SARS‐CoV‐2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS‐CoV‐2 virus

• Published in: Genetic epidemiology Vol. 45; no. 3; pp. 316 - 323
• Main Authors: Hahn, Georg, Lee, Sanghun, Weiss, Scott T., Lange, Christoph
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.04.2021
• Subjects: China - epidemiology; Cluster Analysis; clustering; Coronaviruses; covid; COVID-19 - epidemiology; COVID-19 - virology; Databases, Genetic; Europe - epidemiology; Genome, Viral - genetics; Genomes; Geographic Mapping; Humans; jaccard; Molecular Epidemiology; Mutation rates; North America - epidemiology; Nucleotide sequence; Pandemics; Phylogenetics; Phylogeny; Principal Component Analysis; Principal components analysis; Prognosis; SARS-CoV-2 - classification; SARS-CoV-2 - genetics; SARS-CoV-2 - isolation & purification; SARS-CoV-2 - pathogenicity; SARS‐CoV‐2; Severe acute respiratory syndrome coronavirus 2; Spatio-Temporal Analysis; Vaccine development; Viruses; North America; China; Europe; jaccard; SARS-CoV-2; covid; clustering

Over 10,000 viral genome sequences of the SARS‐CoV‐2virus have been made readily available during the ongoing coronavirus pandemic since the initial genome sequence of the virus was released on the open access Virological website (http://virological.org/) early on January 11. We utilize the publishe...