Bayesian Serial SimCoal, (BayeSSC) is a modification of SIMCOAL 1.0, a program written by Laurent Excoffier, John Novembre, and Stefan Schneider. Long Description (required) Bayes SSC is powerful because it allows flexible coalescent modelling from a variety of different priors. The enables parameter estimation, likelihood calculations, and Bayesian inference. Typically, BayeSSC generates thousands of hypothetical trees using slightly different population parameters. The simulated genetics of these trees can then be compared to the actual genetics of the user's samples to investigate which history of these many simulated histories is the most likely to have generated the samples. http://www.stanford.edu/group/hadlylab/ssc/index.html 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
SIMCOAL: a general coalescent program for the simulation of molecular data in interconnected populations with arbitrary demography. J Hered,
https://www.ncbi.nlm.nih.gov/pubmed/?term=11218093, Primary Citation