Catwalk: identifying closely related sequences in large microbial sequence databases.

Volk, Denis; Yang-Turner, Fan; Didelot, Xavier; Crook, Derrick W; Wyllie, David

Volk, Denis; Yang-Turner, Fan; Didelot, Xavier; Crook, Derrick W; Wyllie, David.

Afiliación

Volk D; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Yang-Turner F; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Didelot X; Present address: UKRI Science and Technologies Facilities Council, Harwell, UK.
Crook DW; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.
Wyllie D; Department of Statistics, University of Warwick, Coventry CV4 7AL, UK.

Microb Genom ; 8(6)2022 06.

Article en En | MEDLINE | ID: mdl-35771206

Asunto(s)

COVID-19; Mycobacterium tuberculosis; Bases de Datos de Ácidos Nucleicos; Humanos; Mycobacterium tuberculosis/genética; Estudios Prospectivos; SARS-CoV-2/genética; Programas Informáticos

Palabras clave

bacterial genomics; microbial relatedness; outbreak detection

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 / Mycobacterium tuberculosis Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Microb Genom Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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