title: PReFerSim: fast simulation of demography and selection under the Poisson Random Field model.
abstract: The Poisson Random Field (PRF) model has become an important tool in population genetics to study weakly deleterious genetic variation under complicated demographic scenarios. Currently, there are no freely available software applications that allow simulation of genetic variation data under this model. Here we present PReFerSim, an ANSI C program that performs forward simulations under the PRF model. PReFerSim models changes in population size, arbitrary amounts of inbreeding, dominance and distributions of selective effects. Users can track summaries of genetic variation over time and output trajectories of selected alleles.
  
  
  
  PReFerSim is freely available at: https://github.com/LohmuellerLab/PReFerSim CONTACT: klohmueller@ucla.eduSupplementary information: Supplementary data are available at Bioinformatics online.
authors.affiliation: Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095, USA.
authors.forename: Diego
authors.initials: D
authors.lastname: Ortega-Del Vecchyo
authors.affiliation: Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
authors.forename: Clare D
authors.initials: CD
authors.lastname: Marsden
authors.affiliation: Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095, USA.|Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.|Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
authors.forename: Kirk E
authors.initials: KE
authors.lastname: Lohmueller
mesh_terms: D003198:Computer Simulation; D003241:Consanguinity; D003710:Demography; D005828:Genetics, Population; D006801:Humans; D012984:Software