Tree-sequence recording in SLiM opens new horizons for forward-time simulation of whole genomes.

ABSTRACT: There is an increasing demand for evolutionary models to incorporate relatively realistic dynamics, ranging from selection at many genomic sites to complex demography, population structure, and ecological interactions. Such models can generally be implemented as individual-based forward simulations, but the large computational overhead of these models often makes simulation of whole chromosome sequences in large populations infeasible. This situation presents an important obstacle to the field that requires conceptual advances to overcome. The recently developed tree-sequence recording method (Kelleher, Thornton, Ashander, & Ralph, 2018), which stores the genealogical history of all genomes in the simulated population, could provide such an advance. This method has several benefits: (1) it

SUBMITTER: Haller BC 

PROVIDER: S-EPMC6393187 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature