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1	Developing new methods for estimating population divergence times from sequence data Svärd, Karl January 2021 (has links) Methods for estimating past demographic events of populations are powerful tools in order to get insights of otherwise hidden pasts. The genetic data of people is a valuable resource for these purposes as patterns of variation can inform of the past evolutionary forces and historical events that generated them. There is, however, a lack of methods within the field that uses this information to its full extent. That is why this project has looked at developing a set of new alternatives for estimating demographic events. The work done has been based on modifying the purely sequence based method TTo (Two-Two-outgroup) for estimating divergence times of two populations. The modifications consisted of using beta distributions to model the polymorphic diversity of the ancestral population in order to increase the max sample size possible. The finished project resulted in two implemented methods: TT-beta and a partial variant of MM. TT-beta was able to produce estimations in the same region as TTo and showed that the usage of beta distributions had real potential. For MM there only was a partial implementation able to be done, but this one also showed promise and the ability to use varying sample sizes to estimate demographic values. genetics evolution bioinformatics migration demography beta distributions population genetics numerical methods simulations genetik evolution bioinformatik migration demografi betafördelning populationsgenetik numeriska metoder simulationer Evolutionary Biology Evolutionsbiologi Genetics Genetik Bioinformatics and Systems Biology Bioinformatik och systembiologi Bioinformatics (Computational Biology) Bioinformatik (beräkningsbiologi) Probability Theory and Statistics Sannolikhetsteori och statistik

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Developing new methods for estimating population divergence times from sequence data