ACG: rapid inference of population history from recombining nucleotide sequences.

ABSTRACT:

Background

Reconstruction of population history from genetic data often requires Monte Carlo integration over the genealogy of the samples. Among tools that perform such computations, few are able to consider genetic histories including recombination events, precluding their use on most alignments of nuclear DNA. Explicit consideration of recombinations requires modeling the history of the sequences with an Ancestral Recombination Graph (ARG) in place of a simple tree, which presents significant computational challenges.

Results

ACG is an extensible desktop application that uses a Bayesian Markov chain Monte Carlo procedure to estimate the posterior likelihood of an evolutionary model conditional on an alignment of genetic data. The ancestry of the sequences is represented b

SUBMITTER: O'Fallon BD 

PROVIDER: S-EPMC3575405 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature