Some tools for forward simulation of genetic populations and genomes

 

 

Forward simulators
Name Comment
EasyPop It allows generating genetic data for haploid, diploid, and haplodiploid organisms under a variety of mating systems.
FPG Simulates a broad range of conditions including natural selection, recombination and migration. However is somewhat limited by the genome size it can manage.
FREGENE Simulates complex demographic and evolutionary models.
GenomePop Simulates complex demographic and evolutionary models.
kernelPop Implements individual-based, spatially explicit models. It has the plus of using the R environment.
Mendel's Accountant Biologically-realistic forward-time population genetics program. Can be supported on parallel cluster computers.
NEMO Individual-based, genetically and spatially explicit simulation software.
quantiNEMO Allows to to investigate the effects of selection, mutation, recombination, and drift on quantitative traits.
Rmetasim Perform individual-based population genetic simulations. Can be used to produce null distributions of genotypes under realistic conditions. It has the plus of using the R environment.
SFS_CODE Allows for a context dependent mutation model (including CpG-effects), synonymous and non-synonymous mutations, etc.
SimuPop Simulates complex demographic and evolutionary models. Must be programmed in Phython. Can be supported on parallel cluster computers.

 

 

Home   Last updated 26/10/2008 by AC-R.