A unique gene tree describing the mutation history of a sample of DNA sequences can be constructed as a perfect phylogeny under an assumption of non-recurrent point mutations. An empirical distribution of the stochastic history of the gene tree, conditional on its topology, can be found by an advanced simulation technique of importance sampling on coalescent histories. The distribution of the time to the most recent common ancestor and ages of mutations in the gene tree, conditional on its topology, can be found from the empirical distribution.
This talk will present examples of ancestral inference from gene trees, microsatellite data, and sketch the importance sampling technique.
TIC Techniques In Computational Genomics
- A community of researchers engaged in, or dependent on computational analysis of genomic data
- Weekly seminars by volunteers
- Drop-in sessions/round-table discussions convened by ANU Bioinformatics Consultancy (ABC)
- Venue alternates between JCSMR and RSB, ANU.