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