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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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Detalhes bibliográficos
Publicado no:Virus Evol
Main Authors: Zanini, Fabio, Puller, Vadim, Brodin, Johanna, Albert, Jan, Neher, Richard A.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5399928/
https://ncbi.nlm.nih.gov/pubmed/28458914
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ve/vex003
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