Computer simulations are excellent tools for understanding the evolutionary and genetic
consequences of complex processes whose interactions cannot be analytically predicted …

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 …

A central challenge in the analysis of genetic variation is to provide realistic genome
simulation across millions of samples. Present day coalescent simulations do not scale well …

Statistical methods for genome-wide association studies (GWAS) continue to improve.
However, the increasing volume and variety of genetic and genomic data make …

SLiM is an efficient forward population genetic simulation designed for studying the effects of
linkage and selection on a chromosome-wide scale. The program can incorporate complex …

Coalescent simulation is a fundamental tool in modern population genetics. The msprime
library provides unprecedented scalability in terms of both the simulations that can be …

This study is intended for evolutionary biologists interested in strategies for the simulation of
molecular data under diverse evolutionary scenarios. It begins with a brief background on …

Understanding the demographic history of populations is a key goal in population genetics,
and with improving methods and data, ever more complex models are being proposed and …

The importance of simulation software in current and future evolutionary and genomic
studies is just confirmed by the recent publication of several new simulation tools. The …

Over the past several years, genome‐wide association studies (GWAS) have succeeded in
identifying hundreds of genetic markers associated with common diseases. However, most …