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

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 …

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 …

Motivation fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic
simulation program, by enabling the estimation of demographic parameters under very …

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 …

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 …

As population genetic data increase in size, new methods have been developed to store
genetic information in efficient ways, such as tree sequences. These data structures are …

the tasks can then be performed by executing one or more services of the electronic device,
and a relevant output responsive to the user request can be returned to the user.intelligent …

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 …

Applications of generative models for genomic data have gained significant momentum in
the past few years, with scopes ranging from data characterization to generation of genomic …