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

Effective population size, Ne, is a key evolutionary parameter that determines the levels of
genetic variation and efficacy of selection. Estimation and interpretation of Ne are essential …

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 …

The role of structurally dynamic genomic regions in speciation is poorly understood due to
challenges inherent in diploid genome assembly. Here we reconstructed the evolutionary …

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

In population genetics, the emergence of large-scale genomic data for various species and
populations has provided new opportunities to understand the evolutionary forces that drive …

Population genetics is transitioning into a data-driven discipline thanks to the availability of
large-scale genomic data and the need to study increasingly complex evolutionary …

Studies in a variety of species have shown evidence for positively selected variants
introduced into a population via introgression from another, distantly related population—a …

Characterizing the population history of a species and identifying loci underlying local
adaptation is crucial in functional ecology, evolutionary biology, conservation and …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …