AdaPop: Bayesian inference of dependent population dynamics in coalescent models.

ABSTRACT: The coalescent is a powerful statistical framework that allows us to infer past population dynamics leveraging the ancestral relationships reconstructed from sampled molecular sequence data. In many biomedical applications, such as in the study of infectious diseases, cell development, and tumorgenesis, several distinct populations share evolutionary history and therefore become dependent. The inference of such dependence is a highly important, yet a challenging problem. With advances in sequencing technologies, we are well positioned to exploit the wealth of high-resolution biological data for tackling this problem. Here, we present adaPop, a probabilistic model to estimate past population dynamics of dependent populations and to quantify their degree of dependence. An essential feature o

SUBMITTER: Cappello L 

PROVIDER: S-EPMC10063170 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature