Abstract

We explored the use of multidimensional scaling (MDS) of tree-to-tree pairwise distances to visualize the relationships among sets of phylogenetic trees. We found the technique to be useful for exploring "tree islands" (sets of topologically related trees among larger sets of near-optimal trees), for comparing sets of trees obtained from bootstrapping and Bayesian sampling, for comparing trees obtained from the analysis of several different genes, and for comparing multiple Bayesian analyses. The technique was also useful as a teaching aid for illustrating the progress of a Bayesian analysis and as an exploratory tool for examining large sets of phylogenetic trees. We also identified some limitations to the method, including distortions of the multidimensional tree space into two dimensions through the MDS technique, and the definition of the MDS-defined space based on a limited sample of trees. Nonetheless, the technique is a useful approach for the analysis of large sets of phylogenetic trees.

Keywords

Phylogenetic treeTree (set theory)Multidimensional scalingTree rearrangementBayesian probabilityPairwise comparisonBootstrapping (finance)VisualizationSampling (signal processing)Computational phylogeneticsPhylogenetic networkComputer scienceBiologyMathematicsArtificial intelligenceMachine learningCombinatoricsEconometrics

Affiliated Institutions

Related Publications

Additive Similarity Trees

Similarity data can be represented by additive trees. In this model, objects are represented by the external nodes of a tree, and the dissimilarity between objects is the length...

1977 Psychometrika 598 citations

Publication Info

Year
2005
Type
article
Volume
54
Issue
3
Pages
471-482
Citations
234
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

234
OpenAlex

Cite This

David M. Hillis, Tracy A. Heath, Katherine St. John (2005). Analysis and Visualization of Tree Space. Systematic Biology , 54 (3) , 471-482. https://doi.org/10.1080/10635150590946961

Identifiers

DOI
10.1080/10635150590946961