This is a fascinating paper I read using Bayesian analysis to compare different graph models to genomic data. Intriguingly, it shows that a dependency graph is a much better fit than a tree model. However, a tree model is what we'd expect from common descent with variation. What could make this dependency graph model, instead?
For those who are worried about site cookies, here is the paper hosted on my Box.net account: