In: Genetics, 2020, vol. 216, no. 4, p. 1205–1215
Allele frequencies vary across populations and loci, even in the presence of migration. While most differences may be due to genetic drift, divergent selection will further increase differentiation at some loci. Identifying those is key in studying local adaptation, but remains statistically challenging. A particularly elegant way to describe allele frequency differences among populations...
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In: Bioinformatics, 2010, vol. 26, no. 23, p. 2993-2994
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In: Bioinformatics, 2011, vol. 27, no. 9, p. 1332-1334
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In: Molecular Biology and Evolution, 2015, vol. 32, no. 6, p. 1519-1532
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In: Bioinformatics, 2009, vol. 25, no. 4, p. 552-554
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In: Genetics, 2016, vol. 203, no. 2, p. 893–904
Methods that bypass analytical evaluations of the likelihood function have become an indispensable tool for statistical inference in many fields of science. These so-called likelihood-free methods rely on accepting and rejecting simulations based on summary statistics, which limits them to low-dimensional models for which the value of the likelihood is large enough to result in manageable...
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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...
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