A partial order and cluster-similarity metric on rooted phylogenetic trees

Michael Hendriksen, Andrew Francis

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Metrics on rooted phylogenetic trees are integral to a number of areas of phylogenetic analysis. Cluster-similarity metrics have recently been introduced in order to limit skew in the distribution of distances, and to ensure that trees in the neighbourhood of each other have similar hierarchies. In the present paper we introduce a new cluster-similarity metric on rooted phylogenetic tree space that has an associated local operation, allowing for easy calculation of neighbourhoods, a trait that is desirable for MCMC calculations. The metric is defined by the distance on the Hasse diagram induced by a partial order on the set of rooted phylogenetic trees, itself based on the notion of a hierarchy-preserving map between trees. The partial order we introduce is a refinement of the well-known refinement order on hierarchies. Both the partial order and the hierarchy-preserving maps may also be of independent interest.
Original languageEnglish
Pages (from-to)1265-1290
Number of pages26
JournalJournal of Mathematical Biology
Volume80
Issue number5
DOIs
Publication statusPublished - 2020

Keywords

  • algorithms
  • hierarchies
  • phylogeny
  • trees

Fingerprint

Dive into the research topics of 'A partial order and cluster-similarity metric on rooted phylogenetic trees'. Together they form a unique fingerprint.

Cite this