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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https://scholarbank.nus.edu.sg/handle/10635/179774

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