A review of metrics measuring dissimilarity for rooted phylogenetic networks.

CDRPN dissimilarity distance metric rooted phylogenetic network

Journal

Briefings in bioinformatics
ISSN: 1477-4054
Titre abrégé: Brief Bioinform
Pays: England
ID NLM: 100912837

Informations de publication

Date de publication:
27 11 2019
Historique:
received: 22 05 2018
revised: 20 06 2018
pubmed: 19 7 2018
medline: 2 9 2020
entrez: 19 7 2018
Statut: ppublish

Résumé

A rooted phylogenetic network is an important structure in the description of evolutionary relationships. Computing the distance (topological dissimilarity) between two rooted phylogenetic networks is a fundamental in phylogenic analysis. During the past few decades, several polynomial-time computable metrics have been described. Here, we give a comprehensive review and analysis on those metrics, including the correlation among metrics and the distribution of distance values computed by each metric. Moreover, we describe the software and website, CDRPN (Computing Distance for Rooted Phylogenetic Networks), for measuring the topological dissimilarity between rooted phylogenetic networks. http://bioinformatics.imu.edu.cn/distance/. guomaozu@bucea.edu.cn.

Identifiants

pubmed: 30020404
pii: 5055373
doi: 10.1093/bib/bby062
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1972-1980

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Juan Wang (J)

School of Computer Science, Inner Mongolia University, Hohhot, Inner Mongolia 010021, P.R. China.

Maozu Guo (M)

School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, P.R. ChinaBeijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing 100044, P.R. China.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Animals Hemiptera Insect Proteins Phylogeny Insecticides
Amaryllidaceae Alkaloids Lycoris NADPH-Ferrihemoprotein Reductase Gene Expression Regulation, Plant Plant Proteins

Classifications MeSH