Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic

Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic

10.1038/srep39489

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Bibliographic Details
Main Authors:	Yebra, G, Hodcroft, E.B, Ragonnet-Cronin, M.L
Other Authors:	MEDICINE
Format:	Article
Published:	Nature Publishing Group 2020
Subjects:	cohort analysis envelope gene epidemic genetics human Human immunodeficiency virus Human immunodeficiency virus infection molecular epidemiology phylogeny regression analysis reproducibility South Africa statistical model structural gene United Kingdom virology virus genome Cohort Studies Epidemics Genes, env Genes, gag Genes, pol Genome, Viral HIV HIV Infections Humans Likelihood Functions Molecular Epidemiology Phylogeny Regression Analysis Reproducibility of Results
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/179774
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Institution:	National University of Singapore

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