The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis

There is enormous interest in studying HIV pathogenesis for improving the treatment of patients with HIV infection. HIV infection has become one of the best-studied systems for understanding how a virus can hijack a cell. To help facilitate discovery, we previously built HIVToolbox, a web system for...

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Detalles Bibliográficos
Autores principales: Sargeant, David P., Deverasetty, Sandeep, Strong, Christy L., Alaniz, Izua J., Bartlett, Alexandria, Brandon, Nicholas R., Brooks, Steven B., Brown, Frederick A., Bufi, Flaviona, Chakarova, Monika, David, Roxanne P., Dobritch, Karlyn M., Guerra, Horacio P., Hedden, Michael W., Kumra, Rma, Levitt, Kelvy S., Mathew, Kiran R., Matti, Ray, Maza, Dorothea Q., Mistry, Sabyasachy, Novakovic, Nemanja, Pomerantz, Austin, Portillo, Josue, Rafalski, Timothy F., Rathnayake, Viraj R., Rezapour, Noura, Songao, Sarah, Tuggle, Sean L., Yousif, Sandy, Dorsky, David I., Schiller, Martin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041786/
https://www.ncbi.nlm.nih.gov/pubmed/24886930
http://dx.doi.org/10.1371/journal.pone.0098810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041786/
https://www.ncbi.nlm.nih.gov/pubmed/24886930
http://dx.doi.org/10.1371/journal.pone.0098810

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