P. W. Messer

This paper introduces a resource-explicit modeling method for spatial population models that improves computational efficiency while maintaining accuracy.

The paper identifies genetic regions associated with adaptation to water stress and pastoralism in the Turkana people using genome sequencing.

This paper develops a machine learning method to infer selective sweep parameters from genetic data, accurately classifying sweep types and estimating selection coefficients.

This study evaluates fitness costs of CRISPR/Cas9 in Drosophila by tracking allele frequencies of transgenic constructs, finding moderate off-target costs but no direct Cas9 costs, with Cas9HF1 minimizing off-target effects.

The paper models CRISPR gene drives for rodent population suppression and finds they can eliminate island populations if resistance is minimized.

The paper reanalyzes Drosophila melanogaster population genomic data to confirm that recent and strong sweeps are likely soft sweeps, despite criticism of the original findings.

The paper introduces stdpopsim, a community-maintained library for population genetic models, to standardize simulations and facilitate benchmarking of inference tools.

This study shows that suppression gene drives in spatial models can lead to unstable persistence of both drive and wild-type alleles due to chasing dynamics.

This study shows how trait genetic architecture affects QTL detection power in artificial selection experiments and provides a simulation framework for optimizing experimental design.

The paper implements tree-sequence recording in SLiM 3 to improve computational efficiency and enable new analyses of whole-genome simulations.

SLiM 3 introduces a non-Wright-Fisher model and continuous space support to enable more realistic population genetic simulations.

The paper develops a maximum likelihood framework to estimate fitness components in experimental evolution using Drosophila melanogaster data, finding reduced mating preference and viability for a yellow allele.

This study identifies genetic mutations associated with resistance to two insecticides in Drosophila melanogaster using GWAS and finds that resistance mechanisms differ between insecticide classes.

asymptoticMK provides a web-based tool to implement an improved McDonald-Kreitman test that reduces bias from slightly deleterious mutations.