The program given below is based on the algorithm described in Padhukasahasram et al. 2008 to simulate genetic drift in a standard Wright-Fisher process. Long Description (required) Diploid organisms are represented as pairs of chromosome arrays that store the locations of mutations. The user specifies a probability of selfing. Populations of constant size reproduce with non-overlapping generations. Mutations occur at a Poisson-distributed rate and insert new integers into chromosome arrays, which may undergo recombination. The number of sites is finite, but mutations occur only at non-polymorphic sites. Locations which are no longer polymorphic are removed. If using natural selection, the evolution of selected and neutral sites is carried out separately, with selected sites considered first. http://badri-populationgeneticsimulators.blogspot.com/ Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator. Every sub-attribute is selected Not all sub-attributes are selected Fill Clear Expand Collapse Reset Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s). Can't Find the Attribute You Are Looking For?
If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the
Additional Comment box of the Submit tab. Summary of Proposed Changes Current Citations/Applications
Exploring population genetic models with recombination using efficient forward-time simulations. Genetics,
https://www.ncbi.nlm.nih.gov/pubmed/?term=18430959, Primary Citation