Seminar Series: Hector Banos

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Hector Banos
October 28, 2021
3:00PM - 4:00PM
Location
Virtual

Date Range
Add to Calendar 2021-10-28 15:00:00 2021-10-28 16:00:00 Seminar Series: Hector Banos Meeting Link Title Species Network Identifiability from Genomic Data under the Coalescent Model Speaker Hector Banos, Dalhousie University, Canada, Department of Mathematics and Statistics Abstract As genealogical analyses of DNA data have progressed, more evidence has appeared showing that hybridization is often an important factor in evolution. Hybridization has played a crucial role in the evolutionary history of plants, some groups of fish and frogs, among other species. In such cases, networks are the objects used to represent the relationships between species. The network multispecies coalescent model is a standard probabilistic model describing the formation of gene trees in the presence of hybridization and incomplete lineage sorting.  We show different identifiability results of species networks under the network multi-species coalescent model from genomic data.  Virtual Department of Statistics webmaster@stat.osu.edu America/New_York public
Description

Meeting Link

Title

Species Network Identifiability from Genomic Data under the Coalescent Model

Speaker

Hector Banos, Dalhousie University, Canada, Department of Mathematics and Statistics

Abstract

As genealogical analyses of DNA data have progressed, more evidence has appeared showing that hybridization is often an important factor in evolution. Hybridization has played a crucial role in the evolutionary history of plants, some groups of fish and frogs, among other species. In such cases, networks are the objects used to represent the relationships between species. The network multispecies coalescent model is a standard probabilistic model describing the formation of gene trees in the presence of hybridization and incomplete lineage sorting.  We show different identifiability results of species networks under the network multi-species coalescent model from genomic data.