Want to track pandemic variants faster? Fix the bioinformatics bottleneck.

Hodcroft, Emma B; De Maio, Nicola; Lanfear, Rob; MacCannell, Duncan R; Minh, Bui Quang; Schmidt, Heiko A; Stamatakis, Alexandros; Goldman, Nick; Dessimoz, Christophe

Hodcroft, Emma B; De Maio, Nicola; Lanfear, Rob; MacCannell, Duncan R; Minh, Bui Quang; Schmidt, Heiko A; Stamatakis, Alexandros; Goldman, Nick; Dessimoz, Christophe.

Nature ; 591(7848): 30-33, 2021 03.

Article in English | MEDLINE | ID: covidwho-1111112

Subject(s)

COVID-19/epidemiology; COVID-19/virology; Evolution, Molecular; Genomics/methods; Genomics/trends; Mutation; SARS-CoV-2/genetics; Animals; Automation/methods; Basic Reproduction Number; COVID-19/immunology; COVID-19/transmission; COVID-19 Vaccines/immunology; Genome, Viral/genetics; Humans; Mink/virology; Pandemics/statistics & numerical data; Phylogeny; Public Health/methods; Public Health/trends; SARS-CoV-2/immunology; SARS-CoV-2/isolation & purification; SARS-CoV-2/pathogenicity; Social Media; Uncertainty

Keywords

Bioinformatics; Genomics; Public health; SARS-CoV-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Evolution, Molecular / Genomics / SARS-CoV-2 / COVID-19 / Mutation Type of study: Observational study / Randomized controlled trials Topics: Vaccines / Variants Limits: Animals / Humans Language: English Journal: Nature Year: 2021 Document Type: Article

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