BayeSSC is a modification of SIMCOAL 1.0. BayesSSC 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.
The Hadly Lab at Stanford University
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Excoffier, Novembre, Schneider (2000),
“SIMCOAL: a general coalescent program for the simulation of molecular data in interconnected populations with arbitrary demography“,
Journal of Heredity, 91:506-509.