Stochastic Processes Seminar
Parameters estimation for Stochastic Genetic Evolution of Bacteria
Sergey Sarkisov
February 24, 2017
11AM, 646PGH
Abstract:
The genetic evolution of bacterial population (e.g. E. Coli) have been studied in
multiple long term laboratory experiments (T. Cooper, R. Lanski). These experiments
implement daily growth + mutations, followed by random daily selections of fixed size
samples. Initial population cells are tagged by red or white biomarkers (inherited by
cell splitting).
Stochastic models of this genetic evolution are parameterized by the unknown fitnesses
of emerging mutants and the rate of mutations occurrence.
Lab observations provide daily frequencies of "white" cells. Our goal is to exploit
these data to estimate the key unknown parameters. This involves algorithmic detection
of mutants emergence.
Stochastic Processes Seminar
For questions and suggestions email
Ilya Timofeyev: ilya at math dot uh dot edu