Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

As population genomic datasets grow in size, researchers are faced with the daunting task
of making sense of a flood of information. To keep pace with this explosion of data …

Stochastic simulation is a key tool in population genetics, since the models involved are
often analytically intractable and simulation is usually the only way of obtaining ground-truth …

Abstract The 2019 United Nations Global assessment report on biodiversity and ecosystem
services estimated that approximately 1 million species are at risk of extinction. This …

Genomics is narrowing uncertainty in the phylogenetic structure for many amniote groups.
For one of the most diverse and species-rich groups, the squamate reptiles (lizards, snakes …

Neanderthals and anatomically modern humans overlapped geographically for a period of
over 30,000 years following human migration out of Africa. During this period, Neanderthals …

Genome sequence data are now being routinely obtained from many nonmodel organisms.
These data contain a wealth of information about the demographic history of the populations …

Population-scale genomic data sets have given researchers incredible amounts of
information from which to infer evolutionary histories. Concomitant with this flood of data …

Simulation‐based methods such as approximate Bayesian computation (ABC) are well‐
adapted to the analysis of complex scenarios of populations and species genetic history. In …

The explosion in population genomic data demands ever more complex modes of analysis,
and increasingly, these analyses depend on sophisticated simulations. Recent advances in …