BACKGROUND The birth, death, and diversification of individuals are events that drive
biological processes across all scales. This is true whether the individuals in question …

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 …

Adaptation enables natural populations to survive in a changing environment.
Understanding the mechanics of adaptation is therefore crucial for learning about the …

Highly fecund natural populations characterized by high early mortality abound, yet our
knowledge about their recruitment dynamics is somewhat rudimentary. This knowledge gap …

The standard neutral model of molecular evolution has traditionally been used as the null
model for population genomics. We gathered a collection of 45 genome-wide site frequency …

The reproductive mechanism of a species is a key driver of genome evolution. The standard
Wright-Fisher model for the reproduction of individuals in a population assumes that each …

The speed of population adaptation to changing biotic and abiotic environments is
determined by the interaction between genetic drift, positive selection and linkage effects …

We consider a simple diploid population-genetic model with potentially high variability of
offspring numbers among individuals. Specifically, against a backdrop of Wright–Fisher …

Natural highly fecund populations abound. These range from viruses to gadids. Many highly
fecund populations are economically important. Highly fecund populations provide an …

Modeling genetic diversity needs an underlying genealogy model. To choose a fitting model
based on genetic data, one can perform model selection between classes of genealogical …