Gertjan Bisschop

This paper introduces SMC(k), a tunable approximation of the Coalescent with Recombination, showing it balances computational efficiency and accuracy in simulating Ancestral Recombination Graphs.

This paper presents a backwards-time formulation of the Sequentially Markov Coalescent (SMC) and derives a likelihood definition for a general class of Ancestral Recombination Graphs (ARGs) without requiring precise recombination event details.

tstrait simulates quantitative traits on ancestral recombination graphs to enable efficient GWAS applications without losing ancestral information.

The paper introduces Demes, a standard format for demographic models in population genetics to improve clarity and ease of use in simulations and analysis.

This paper introduces graph-based algorithms to efficiently compute Laplace transformed coalescence time distributions, improving computational efficiency for population genetic analyses.

The paper introduces msprime 1.0, a high-performance simulation tool for ancestry and mutation in population genetics, showing it is faster and more memory efficient than existing alternatives.