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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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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spelling	oai:doaj.org-article:b513ef14a40046d784ee66ab99f729af2021-12-02T16:58:14ZMapping the drivers of within-host pathogen evolution using massive data sets10.1038/s41467-019-10724-w2041-1723https://doaj.org/article/b513ef14a40046d784ee66ab99f729af2019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10724-whttps://doaj.org/toc/2041-1723Various 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.Duncan S. PalmerIsaac TurnerSarah FidlerJohn FraterDominique GoedhalsPhilip GoulderKuan-Hsiang Gary HuangAnnette OxeniusRodney PhillipsRoger ShapiroCloete van VuurenAngela R. McLeanGil McVeanNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Mapping the drivers of within-host pathogen evolution using massive data sets
description	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.
format	article
author	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
author_facet	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
author_sort	Duncan S. Palmer
title	Mapping the drivers of within-host pathogen evolution using massive data sets
title_short	Mapping the drivers of within-host pathogen evolution using massive data sets
title_full	Mapping the drivers of within-host pathogen evolution using massive data sets
title_fullStr	Mapping the drivers of within-host pathogen evolution using massive data sets
title_full_unstemmed	Mapping the drivers of within-host pathogen evolution using massive data sets
title_sort	mapping the drivers of within-host pathogen evolution using massive data sets
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/b513ef14a40046d784ee66ab99f729af
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Mapping the drivers of within-host pathogen evolution using massive data sets

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