Introduction¶
SimPrily runs genome simulations with user defined parameters or parameters randomly generated by priors and computes genomic statistics on the simulation output.
- Run genome simulation with model defined by prior distributions of parameters and demographic model structure.
- Take into account SNP array ascertainment bias by creating pseudo array based on priors of number of samples of discovery populations and allele frequency cut-off.
- Calculate genomic summary statistics on simulated genomes and pseudo arrays.
This is ideal for use with Approximate Bayesian Computation on whole genome or SNP array data.
Uses c++ programs macs and GERMLINE. For more information on these programs, see: https://github.com/gchen98/macs https://github.com/sgusev/GERMLINE