Approximate genealogical inference
Seminar Room 1, Newton Institute
For many inferential problems in evolutionary biology and population genetics considerable power can be gained by explicitly modelling the genealogical relationship between DNA sequences. In the presence of of recombination, genealogical relationships are described by a complex graph. While it is theoretically possible to explore the posterior distribution of such graphs using techniques such as MCMC, in most realistic situations the computational complexity of such methods makes them unpractical. One possible solution is to develop approximations to full genealogical inference. I will discuss what properties such approximations should have and describe one approach that samples local genealogical relationships along a genome.
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