Paper: Insights from a general, full-likelihood Bayesian approach to inferring shared evolutionary events from genomic data

While we avoid mass-infection events this 4th of July, here’s a piece of good news out of the Phyletica Lab. The work by Nadia L’Bahy (our 2018 Comp Bio REU student from UMass Amherst) and Kerry that introduces a new, full-likelihood, Bayesian approach to estimating simultaneous changes in effective population sizes across populations is now published in the journal Evolution. It turns out that, even when you use all the information from genomic data, estimating shared demographic events across populations is still super hard.

Paper: Insights from a general, full-likelihood Bayesian approach to inferring shared evolutionary events from genomic data was published on July 04, 2020.