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Université de Fribourg

An approximate Markov model for the wright-fisher diffusion and its application to time series data

Ferrer-Admetlla, Anna ; Leuenberger, Christoph ; Jensen, Jeffrey D. ; Wegmann, Daniel

In: Genetics, 2016, p. -

The joint and accurate inference of selection and demography from genetic data is considered a particularly challenging question in population genetics, since both process may lead to very similar patterns of genetic diversity. However, additional information for disentangling these effects may be obtained by observing changes in allele frequencies over multiple time points. Such data is...

Université de Fribourg

Influenza virus drug resistance: A time-sampled population genetics perspective

Foll, Matthieu ; Poh, Yu-Ping ; Renzette, Nicholas ; Ferrer-Admetlla, Anna ; Bank, Claudia ; Shim, Hyunjin ; Malaspinas, Anna-Sapfo ; Ewing, Gregory ; Liu, Ping ; Wegmann, Daniel ; Caffrey, Daniel R. ; Zeldovich, Konstantin B. ; Bolon, Daniel N. ; Wang, Jennifer P. ; Kowalik, Timothy F. ; Schiffer, Celia A. ; Finberg, Robert W. ; Jensen, Jeffrey D.

In: PLoS Genet, 2014, vol. 10, no. 2, p. e1004185

The challenge of distinguishing genetic drift from selection remains a central focus of population genetics. Time-sampled data may provide a powerful tool for distinguishing these processes, and we here propose approximate Bayesian, maximum likelihood, and analytical methods for the inference of demography and selection from time course data. Utilizing these novel statistical and computational...