Back to BaySICS: A User-Friendly Program for Bayesian Statistical Inference from Coalescent Simulations

What is it about?

Approximate Bayesian computation (ABC) is becoming a fundamental tool for inference in ecology and evolution due to a virtually unmatched flexibility. This is because it does not depend on likelihoods estimation and can work with any model that can be computer simulated. Here we present BaySICS, a software for performing evolutionary inference based on coalescent simulation by using genetic DNA data. It is aimed to prioritize user-friendliness which has been a limitating factor for the widespread use of this type of analysis.

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Why is it important?

BaySICS ambition is to be one of the most user-friendly platforms for ABC while providing sophisticated tools for a state-of-art statistical inference.