Article
Factors influencing estimates of HIV-1 infection timing using BEAST.
PLoS computational biology - 1 Feb 2021
Dearlove Bethany, Tovanabutra Sodsai, Owen Christopher L, Lewitus Eric, Li Yifan, Sanders-Buell Eric, Bose Meera, O'Sullivan Anne-Marie, Kijak Gustavo, Miller Shana, Poltavee Kultida, Lee Jenica, Bonar Lydia, Harbolick Elizabeth, Ahani Bahar, Pham Phuc, Kibuuka Hannah, Maganga Lucas, Nitayaphan Sorachai, Sawe Fred K, Kim Jerome H, Eller Leigh Anne, Vasan Sandhya, Gramzinski Robert, Michael Nelson L, Robb Merlin L, Rolland Morgane
Abstract excerpt
While large datasets of HIV-1 sequences are increasingly being generated, many studies rely on a single gene or fragment of the genome and few comparative studies across genes have been done. We performed genome-based and gene-specific Bayesian phylogenetic analyses to investigate how certain factors impact estimates of the infection dates in an acute HIV-1 infection cohort, RV217. In this cohort, HIV-1 diagnosis...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
