Discoal: flexible coalescent simulations with selection.

Kern, Andrew D; Schrider, Daniel R · Bioinformatics · 2016

basic_science · Level V

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Abstract

Here we describe discoal, a coalescent simulator able to generate population samples that include selective sweeps in a feature-rich, flexible manner. discoal can perform simulations conditioning on the fixation of an allele due to drift or either hard or soft sweeps-even those occurring a large genetic distance away from the simulated locus. discoal can simulate sweeps with recurrent mutation to the adaptive allele, recombination, and gene conversion, under non-equilibrium demographic histories and without specifying an allele frequency trajectory in advance. discoal is implemented in the C programming language. Source code is freely available on GitHub (https://github.com/kern-lab/discoal) under a GNU General Public License. kern@dls.rutgers.edu or dan.schrider@rutgers.eduSupplementary information: Supplementary data are available at Bioinformatics online.

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