Mapping the drivers of within-host pathogen evolution using massive data sets

Mapping the drivers of within-host pathogen evolution using massive data sets

Various host factors may impact within-host pathogen evolution. Here, the authors develop a Bayesian approach for identifying host-pathogen interactions using large data sets of pathogen diversity, and apply it to investigate HLA-induced selection in the HIV-1 genome.

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Detalles Bibliográficos
Autores principales: Duncan S. Palmer, Isaac Turner, Sarah Fidler, John Frater, Dominique Goedhals, Philip Goulder, Kuan-Hsiang Gary Huang, Annette Oxenius, Rodney Phillips, Roger Shapiro, Cloete van Vuuren, Angela R. McLean, Gil McVean
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/b513ef14a40046d784ee66ab99f729af
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Internet

https://doaj.org/article/b513ef14a40046d784ee66ab99f729af

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