Automated prediction of HIV drug resistance from genotype data

BACKGROUND: HIV/AIDS is a serious threat to public health. The emergence of drug resistance mutations diminishes the effectiveness of drug therapy for HIV/AIDS. Developing a computational prediction of drug resistance phenotype will enable efficient and timely selection of the best treatment regimen...

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Detalles Bibliográficos
Autores principales: Shen, ChenHsiang, Yu, Xiaxia, Harrison, Robert W., Weber, Irene T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009519/
https://www.ncbi.nlm.nih.gov/pubmed/27586700
http://dx.doi.org/10.1186/s12859-016-1114-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009519/
https://www.ncbi.nlm.nih.gov/pubmed/27586700
http://dx.doi.org/10.1186/s12859-016-1114-6

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