Advanced computational methods are becoming increasingly important in biology. A wide range of applications — including, for instance, identifying pathogens, tracing viral transmission pathways, and reconstructing the geographic expansion of humans out of Africa — rely on evolutionary inference. This course will cover the methods currently used for evolutionary inference, the stochastic models and inference principles they are based on, and how they are implemented in practice.
We meet in room 422 in Dirac
Current class notes
- Last three lectures: Laura_Kubatko_speciestree_mbl2017.pdf, modelselection.pdf, bootstrap.pdf, Mark Holder's bootstrap example