Whole-Genome Sequence Approach and Phylogenomic Stratification Improve the Association Analysis of Mutations With Patient Data in Influenza Surveillance.

Van Poelvoorde, Laura; Vanneste, Kevin; De Keersmaecker, Sigrid C J; Thomas, Isabelle; Van Goethem, Nina; Van Gucht, Steven; Saelens, Xavier; Roosens, Nancy H C

Van Poelvoorde, Laura; Vanneste, Kevin; De Keersmaecker, Sigrid C J; Thomas, Isabelle; Van Goethem, Nina; Van Gucht, Steven; Saelens, Xavier; Roosens, Nancy H C.

Afiliação

Van Poelvoorde L; Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Vanneste K; National Influenza Centre, Sciensano, Brussels, Belgium.
De Keersmaecker SCJ; Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium.
Thomas I; VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium.
Van Goethem N; Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Van Gucht S; Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Saelens X; National Influenza Centre, Sciensano, Brussels, Belgium.
Roosens NHC; Public Health and Genome, Epidemiology and Public Health, Sciensano, Brussels, Belgium.

Front Microbiol ; 13: 809887, 2022.

Article em En | MEDLINE | ID: mdl-35516436

Palavras-chave

Nextstrain; influenza; mutations; next-generation sequencing; surveillance

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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