Unknown

Dataset Information

0

Discoal: flexible coalescent simulations with selection.


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.

Availability and implementation

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.

Contact

kern@dls.rutgers.edu or dan.schrider@rutgers.eduSupplementary information: Supplementary data are available at Bioinformatics online.

SUBMITTER: Kern AD 

PROVIDER: S-EPMC5167068 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Discoal: flexible coalescent simulations with selection.

Kern Andrew D AD   Schrider Daniel R DR  

Bioinformatics (Oxford, England) 20160824 24


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  ...[more]

Similar Datasets

| S-EPMC1274299 | biostudies-literature
| S-EPMC3387178 | biostudies-literature
| S-EPMC7313662 | biostudies-literature
| S-EPMC4296154 | biostudies-literature
| S-EPMC4035278 | biostudies-literature
| S-EPMC5788538 | biostudies-literature
| S-EPMC6442577 | biostudies-literature