Literature DB >> 18631022

An exact algorithm for the geodesic distance between phylogenetic trees.

Anne Kupczok1, Arndt von Haeseler, Steffen Klaere.   

Abstract

The geometrical representation of the space of phylogenetic trees implies a metric on the space of weighted trees. This metric, the geodesic distance, is the length of the shortest path through that space. We present an exact algorithm to compute this metric. For biologically reasonable trees, the implementation allows fast computations of the geodesic distance, although the running time of the algorithm is worst-case exponential. The algorithm was applied to pairs of 118 gene trees of the metazoa. The results show that a special path in tree space, the cone path, which can be computed in linear time, is a good approximation of the geodesic distance. The program GeoMeTree is a python implementation of the geodesic distance, and it is approximations and is available from www.cibiv.at/software/geometree.

Keywords:  Robinson-Foulds distance; cone path; geodesic path; phylogeny; tree space

Mesh:

Year:  2008        PMID: 18631022     DOI: 10.1089/cmb.2008.0068

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

1.  Bayes estimators for phylogenetic reconstruction.

Authors:  P M Huggins; W Li; D Haws; T Friedrich; J Liu; R Yoshida
Journal:  Syst Biol       Date:  2011-04-06       Impact factor: 15.683

2.  On the use of cartographic projections in visualizing phylo-genetic tree space.

Authors:  Kenneth Sundberg; Mark Clement; Quinn Snell
Journal:  Algorithms Mol Biol       Date:  2010-06-08       Impact factor: 1.405

3.  Linear-time algorithms for phylogenetic tree completion under Robinson-Foulds distance.

Authors:  Mukul S Bansal
Journal:  Algorithms Mol Biol       Date:  2020-04-13       Impact factor: 1.405

4.  Tree shape-based approaches for the comparative study of cophylogeny.

Authors:  Mariano Avino; Garway T Ng; Yiying He; Mathias S Renaud; Bradley R Jones; Art F Y Poon
Journal:  Ecol Evol       Date:  2019-05-29       Impact factor: 2.912

5.  An Efficient, Nonphylogenetic Method for Detecting Genes Sharing Evolutionary Signals in Phylogenomic Data Sets.

Authors:  Luiz Thibério Rangel; Shannon M Soucy; João C Setubal; Johann Peter Gogarten; Gregory P Fournier
Journal:  Genome Biol Evol       Date:  2021-09-01       Impact factor: 3.416

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.