Related Experiment Video
Updated: Oct 10, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Markov genealogy processes
Aaron A King1, Qianying Lin2, Edward L Ionides3
1Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA; Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA; Center for Computational Medicine & Biology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI 48109, USA.
Abstract:
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. We derive exact expressions for the likelihood of a given genealogy conditional on the history of the underlying population process. These lead to a nonlinear filtering equation which can be used to design efficient Monte Carlo inference algorithms. We demonstrate these calculations with several examples. Existing full-information approaches for phylodynamic inference are special cases of the theory.
More Related Videos
Related Concept Videos
Pedigree Analysis
Gene Flow
Gene Duplication and Divergence
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
Mutation, Gene Flow, and Genetic Drift
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Gene Conversion

