Beta-PSMC: uncovering more detailed population history using beta distribution.

ABSTRACT:

Background

Inferring the demographic history of a population is essential in population genetic studies. Though the inference methods based on the sequentially Markov coalescent can present the population history in detail, these methods assume that the population size remains unchanged in each time interval during discretizing the hidden state in the hidden Markov model. Therefore, these methods fail to uncover the detailed population history in each time interval.

Results

We present a new method called Beta-PSMC, which introduces the probability density function of a beta distribution with a broad variety of shapes into the Pairwise Sequentially Markovian Coalescent (PSMC) model to refine the population history in each discretized time interval in place of the assumption t

SUBMITTER: Liu J 

PROVIDER: S-EPMC9710181 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature