Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fred K. Sawe"'
Autor:
Raabya Rossenkhan, Morgane Rolland, Jan P.L. Labuschagne, Roux-Cil Ferreira, Craig A. Magaret, Lindsay N. Carpp, Frederick A. Matsen IV, Yunda Huang, Erika E. Rudnicki, Yuanyuan Zhang, Nonkululeko Ndabambi, Murray Logan, Ted Holzman, Melissa-Rose Abrahams, Colin Anthony, Sodsai Tovanabutra, Christopher Warth, Gordon Botha, David Matten, Sorachai Nitayaphan, Hannah Kibuuka, Fred K. Sawe, Denis Chopera, Leigh Anne Eller, Simon Travers, Merlin L. Robb, Carolyn Williamson, Peter B. Gilbert, Paul T. Edlefsen
Publikováno v:
Viruses, Vol 11, Iss 7, p 607 (2019)
Knowledge of the time of HIV-1 infection and the multiplicity of viruses that establish HIV-1 infection is crucial for the in-depth analysis of clinical prevention efficacy trial outcomes. Better estimation methods would improve the ability to charac
Externí odkaz:
https://doaj.org/article/33758c334a41459d956b37f9c6fa6c7c
Autor:
Bethany Dearlove, Sodsai Tovanabutra, Christopher L Owen, Eric Lewitus, Yifan Li, Eric Sanders-Buell, Meera Bose, Anne-Marie O'Sullivan, Gustavo Kijak, Shana Miller, Kultida Poltavee, Jenica Lee, Lydia Bonar, Elizabeth Harbolick, Bahar Ahani, Phuc Pham, Hannah Kibuuka, Lucas Maganga, Sorachai Nitayaphan, Fred K Sawe, Jerome H Kim, Leigh Anne Eller, Sandhya Vasan, Robert Gramzinski, Nelson L Michael, Merlin L Robb, Morgane Rolland, RV217 Study Team
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008537 (2021)
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 phylo
Externí odkaz:
https://doaj.org/article/b0c174c950ec4182833e083b931ec6e3
Autor:
Morgane Rolland, Sodsai Tovanabutra, Bethany Dearlove, Yifan Li, Christopher L Owen, Eric Lewitus, Eric Sanders-Buell, Meera Bose, AnneMarie O'Sullivan, Raabya Rossenkhan, Jan Phillipus Lourens Labuschagne, Paul T Edlefsen, Daniel B Reeves, Gustavo Kijak, Shana Miller, Kultida Poltavee, Jenica Lee, Lydia Bonar, Elizabeth Harbolick, Bahar Ahani, Phuc Pham, Hannah Kibuuka, Lucas Maganga, Sorachai Nitayaphan, Fred K Sawe, Leigh Anne Eller, Robert Gramzinski, Jerome H Kim, Nelson L Michael, Merlin L Robb, RV217 Study Team
Publikováno v:
PLoS Pathogens, Vol 16, Iss 2, p e1008179 (2020)
Most HIV-1 infected individuals do not know their infection dates. Precise infection timing is crucial information for studies that document transmission networks or drug levels at infection. To improve infection timing, we used the prospective RV217
Externí odkaz:
https://doaj.org/article/4eba0f9f21794581ba1e24b1058d88ef