Summary :
DIYABC allows considering complex population histories involving any combination of population divergences, admixtures and population size changes, with population samples potentially collected at different times. DIYABC can be used to compare competing evolutionary scenarios and quantify their relative support, and estimate parameters for one or more scenarios. Eventually, it provides a way to evaluate the amount of confidence that can be put into the various estimations and to achieve model checking computation within an approximate Bayesian computation (ABC) framework. The version 2.0 of the program implements a number of new features and analytical methods allowing extensive analyses of large molecular datasets, including single nucleotide polymorphism (SNP) data.
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