Bayesian Serial SimCoal

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Basic Package Attributes
Title Bayesian Serial SimCoal
Short Description Bayesian Serial SimCoal, (BayeSSC) is a modification of SIMCOAL 1.0, a program written by Laurent Excoffier, John Novembre, and Stefan Schneider.
Long Description 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.
Project Started 2009
Last Release 9 years, 5 months ago
Citations Excoffier L, Novembre J, Schneider S, SIMCOAL: a general coalescent program for the simulation of molecular data in interconnected populations with arbitrary demography., J Hered, Nov. 1, 2000 [Abstract, cited in PMC ]
GSR CertificationAccessibility
Last evaluatedFeb. 8, 2018 (942 days ago)
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