Many participants of the molecular evolution workshops I attend are very interested in methods for estimating the evolutionary dynamics of serially-sampled pathogens. Recent versions of BEAST and BEAST2 have some of the most exciting and cutting-edge models for understanding evolutionary processes in these data. Because of this, I wanted to call your attention to a new tutorial on this subject:
Trevor Bedford has posted a tutorial entitled: Inferring spatiotemporal dynamics of the H1N1 influenza pandemic from sequence data.
He provides several detailed exercises that will surely help anyone new to these methods understand how to analyze their own data in BEAST. Interestingly, Trevor is hosting his tutorial on github, which I think is a great idea.