Você está aqui: Página Inicial / Seminários / 19/03/2021 - Scalable coalescent inference by sampling Tajima’s trees - Speaker: Lorenzo Cappello (Stanford University)

19/03/2021 - Scalable coalescent inference by sampling Tajima’s trees - Speaker: Lorenzo Cappello (Stanford University)

Quando 19/03/2021
das 14h00 até 16h00
Onde Google Meet
Adicionar evento ao calendário vCal
iCal

UFSCar/USP joint Seminar

Schedule: 2:00 pm

Presentation link here.

Title: Scalable coalescent inference by sampling Tajima’s trees

Speaker: Lorenzo Cappello (Stanford University)

Abstract:
The observed sequence variation at a locus informs about the evolutionary history of the sample and past population size dynamics. The standard Kingman coalescent model on genealogies – timed trees that represent the ancestry of the sample – is used in a genera- tive model of molecular sequence variation to infer evolutionary parameters. However, it is computationally challenging to use this inference when sample size grows. We will discuss a lower-resolution coalescent model, called Tajima heterochronous n-coalescent, as a computationally efficient alternative to the Kingman coalescent. We will study how to quantify the size of the underlying state space, compute the likelihood, employ it in a Bayesian nonparametric model, and use it in applications.

Announcement Cappello

registrado em: