Welcome to SimPrily

SimPrily runs genome simulations with user defined parameters or parameters randomly generated by priors and computes genomic statistics on the simulation output.

• Runs genome simulation with model defined by prior distributions of parameters and demographic model structure.
• Can 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.
• Calculates 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:
MaCS Github
GERMLINE Github

Quick Start

To start using right away SimPrily, please visit the quickstart page.

Contact

For help regarding SimPrily, contact Ariella at agladstein@email.arizona.edu.
For help with the SimPrily Discovery Environment app, contact Blake bjoyce3@email.arizona.edu
To request a new feature or report a bug, please add an issue to the Github

Citations and Licensing

Information about licensing and publications can be found here.