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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...
Autores principales: | Shen, ChenHsiang, Yu, Xiaxia, Harrison, Robert W., Weber, Irene T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
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 |
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