Please use this identifier to cite or link to this item: https://doi.org/10.1098/rspa.2018.0568
Title: Bridging trees for posterior inference on ancestral recombination graphs
Authors: HEINE, K
BESKOS, A 
JASRA, A 
BALDING, D 
DE IORIO, M 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
ancestral recombination graph
Markov chain Monte Carlo
Bayesian inference
coalescent
tree scanning
MINIMUM NUMBER
RATES
COALESCENT
Issue Date: 1-Dec-2018
Publisher: ROYAL SOC
Citation: HEINE, K, BESKOS, A, JASRA, A, BALDING, D, DE IORIO, M (2018-12-01). Bridging trees for posterior inference on ancestral recombination graphs. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 474 (2220). ScholarBank@NUS Repository. https://doi.org/10.1098/rspa.2018.0568
Abstract: © 2018 The Author(s) Published by the Royal Society. All rights reserved. We present a new Markov chain Monte Carlo algorithm, implemented in the software Arbores, for inferring the history of a sample of DNA sequences. Our principal innovation is a bridging procedure, previously applied only for simple stochastic processes, in which the local computations within a bridge can proceed independently of the rest of the DNA sequence, facilitating large-scale parallelization.
Source Title: PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
URI: https://scholarbank.nus.edu.sg/handle/10635/155344
ISSN: 1364-5021
1471-2946
DOI: 10.1098/rspa.2018.0568
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