Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach.

ABSTRACT:

Background

Samples of molecular sequence data of a locus obtained from random individuals in a population are often related by an unknown genealogy. More importantly, population genetics parameters, for instance, the scaled population mutation rate Θ=4N _e μ for diploids or Θ=2N _e μ for haploids (where N _e is the effective population size and μ is the mutation rate per site per generation), which explains some of the evolutionary history and past qualities of the population that the samples are obtained from, is of significant interest.

Results

In this paper, we present the evolution of sequence data in a Bayesian framework and the approximation of the posterior distributions of the unknown parameters of the model, which include Θ via the sequ

SUBMITTER: Ogundijo OE 

PROVIDER: S-EPMC5721689 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature