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Lookup NU author(s): Maryam Garba, Dr Tom Nye, Professor Richard Boys
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Most existing measures of distance between phylogenetic trees are based on the geometry or topology of the trees. Instead, we consider distance measures which are based on the underlying probability distributions on genetic sequence data induced by trees. Monte Carlo schemes are necessary to calculate these distances approximately, and we describe efficient sampling procedures. Key features of the distances are the ability to include substitution model parameters and to handle trees with different taxon sets in a principled way. We demonstrate some of the properties of these new distance measures and compare them to existing distances, in particular by applying multidimensional scaling to data sets previously reported as containing phylogenetic islands.
Author(s): Garba MK, Nye TMW, Boys RJ
Publication type: Article
Publication status: Published
Journal: Systematic Biology
Year: 2018
Volume: 67
Issue: 2
Pages: 320-327
Print publication date: 01/03/2018
Online publication date: 04/10/2017
Acceptance date: 18/09/2017
Date deposited: 02/10/2017
ISSN (print): 1063-5157
ISSN (electronic): 1076-836X
Publisher: Oxford University Press
URL: https://doi.org/10.1093/sysbio/syx080
DOI: 10.1093/sysbio/syx080
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