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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2019-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10724-w

Internet

https://doi.org/10.1038/s41467-019-10724-w

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