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In vivo mutation rates and the landscape of fitness costs of HIV-1

Mutation rates and fitness costs of deleterious mutations are difficult to measure in vivo but essential for a quantitative understanding of evolution. Using whole genome deep sequencing data from longitudinal samples during untreated HIV-1 infection, we estimated mutation rates and fitness costs in...

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Detalles Bibliográficos
Autores principales: Zanini, Fabio, Puller, Vadim, Brodin, Johanna, Albert, Jan, Neher, Richard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399928/
https://www.ncbi.nlm.nih.gov/pubmed/28458914
http://dx.doi.org/10.1093/ve/vex003