A General Framework for Branch Length Estimation in Ancestral Recombination Graphs.

ABSTRACT: Inference of Ancestral Recombination Graphs (ARGs) is of central interest in the analysis of genomic variation. ARGs can be specified in terms of topologies and coalescence times. The coalescence times are usually estimated using an informative prior derived from coalescent theory, but this may generate biased estimates and can also complicate downstream inferences based on ARGs. Here we introduce, POLEGON, a novel approach for estimating branch lengths for ARGs which uses an uninformative prior. Using extensive simulations, we show that this method provides improved estimates of coalescence times and lead to more accurate inferences of effective population sizes under a wide range of demographic assumptions. It also improves other downstream inferences including estimates of mutation rate

SUBMITTER: Deng Y 

PROVIDER: S-EPMC11844452 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature