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HIV-1 Fitness Landscape Models for Indinavir Treatment Pressure Using Observed Evolution in Longitudinal Sequence Data Are Predictive for Treatment Failure

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Pironti,  Alejandro
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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引用

Sangeda, R. Z., Theys, K., Beheydt, G., Rhee, S.-Y., Deforche, K., Vercauteren, J., Libin, P., Imbrechts, S., Grossman, Z., Camacho, R. J., Van Laethem, K., Pironti, A., Zazzi, M., Sönnerborg, A., Incardona, F., De Luca, A., Torti, C., Ruiz, L., Van de Vijver, D. A. M. C., Shafer, R. W., Bruzzone, B., Van Wijngaerden, E., & Vandamme, A.-M. (2013). HIV-1 Fitness Landscape Models for Indinavir Treatment Pressure Using Observed Evolution in Longitudinal Sequence Data Are Predictive for Treatment Failure. Infection, Genetics and Evolution, 19, 349-360. doi:10.1016/j.meegid.2013.03.014.


引用: https://hdl.handle.net/11858/00-001M-0000-0015-8477-C
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