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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...
Guardado en:
| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5009519/ https://ncbi.nlm.nih.gov/pubmed/27586700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1114-6 |
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