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

10.1038/srep39489

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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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spelling	sg-nus-scholar.10635-1797742024-04-18T02:13:37Z Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic Yebra, G Hodcroft, E.B Ragonnet-Cronin, M.L MEDICINE 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 South Africa United Kingdom 10.1038/srep39489 Scientific Reports 6 39489 2020-10-26T03:03:36Z 2020-10-26T03:03:36Z 2016 Article Yebra, G, Hodcroft, E.B, Ragonnet-Cronin, M.L (2016). Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic. Scientific Reports 6 : 39489. ScholarBank@NUS Repository. https://doi.org/10.1038/srep39489 2045-2322 https://scholarbank.nus.edu.sg/handle/10635/179774 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Nature Publishing Group Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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 South Africa United Kingdom
spellingShingle	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 South Africa United Kingdom Yebra, G Hodcroft, E.B Ragonnet-Cronin, M.L Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
description	10.1038/srep39489
author2	MEDICINE
author_facet	MEDICINE Yebra, G Hodcroft, E.B Ragonnet-Cronin, M.L
format	Article
author	Yebra, G Hodcroft, E.B Ragonnet-Cronin, M.L
author_sort	Yebra, G
title	Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
title_short	Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
title_full	Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
title_fullStr	Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
title_full_unstemmed	Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
title_sort	using nearly full-genome hiv sequence data improves phylogeny reconstruction in a simulated epidemic
publisher	Nature Publishing Group
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/179774
_version_	1800914569490595840

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

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