A Survey of Metrics Measuring Difference for Rooted Phylogenetic Trees

Author:

Wang Juan1,Qi Xinyue1,Cui Bo1,Guo Maozu2

Affiliation:

1. School of Computer Science, Inner Mongolia University, Hohhot, China

2. School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Abstract

Background: The evolutionary history of organisms can be described by phylogenetic trees. We need to compare the topologies of rooted phylogenetic trees when researching the evolution of a given set of species. Objective: Up to now, there are several metrics measuring the dissimilarity between rooted phylogenetic trees, and those metrics are defined by different ways. Methods: This paper analyzes those metrics from their definitions and the distance values computed by those metrics by terms of experiments. Results: The results of experiments show that the distances calculated by the cluster metric, the partition metric, and the equivalent metric have a good Gaussian fitting, and the equivalent metric can describe the difference between trees better than the others. Conclusion: Moreover, it presents a tool called as CDRPT (Computing Distance for Rooted Phylogenetic Trees). CDRPT is a web server to calculate the distance for trees by an on-line way. CDRPT can also be off-line used by means of installing application packages for the Windows system. It greatly facilitates the use of researchers. The home page of CDRPT is http://bioinformatics.imu.edu.cn/tree/.

Funder

National Key Research and Development Plan Task of China

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Maximal Information Coefficient-Based Testing to Identify Epistasis in Case-Control Association Studies;Computational and Mathematical Methods in Medicine;2022-02-15

2. The Generalized Robinson-Foulds Distance for Phylogenetic Trees;Journal of Computational Biology;2021-12-01

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