Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12864-017-3500-5
Title: A program to compute the soft Robinson-Foulds distance between phylogenetic networks
Authors: Lu B.
Zhang L. 
Leong H.W. 
Keywords: genomics
simulation
software
validation process
algorithm
animal
biological model
biology
classification
evolution
genetics
mosquito
phylogeny
Poaceae
Rhizoctonia
software
statistics and numerical data
double stranded RNA
fungal RNA
plant protein
Algorithms
Animals
Biological Evolution
Computational Biology
Culicidae
Models, Genetic
Phylogeny
Plant Proteins
Poaceae
Rhizoctonia
RNA, Double-Stranded
RNA, Fungal
Software
Issue Date: 2017
Publisher: BioMed Central Ltd.
Citation: Lu B., Zhang L., Leong H.W. (2017). A program to compute the soft Robinson-Foulds distance between phylogenetic networks. BMC Genomics 18 : 111. ScholarBank@NUS Repository. https://doi.org/10.1186/s12864-017-3500-5
Abstract: Background: Over the past two decades, phylogenetic networks have been studied to model reticulate evolutionary events. The relationships among phylogenetic networks, phylogenetic trees and clusters serve as the basis for reconstruction and comparison of phylogenetic networks. To understand these relationships, two problems are raised: the tree containment problem, which asks whether a phylogenetic tree is displayed in a phylogenetic network, and the cluster containment problem, which asks whether a cluster is represented at a node in a phylogenetic network. Both the problems are NP-complete. Results: A fast exponential-time algorithm for the cluster containment problem on arbitrary networks is developed and implemented in C. The resulting program is further extended into a computer program for fast computation of the Soft Robinson-Foulds distance between phylogenetic networks. Conclusions: Two computer programs are developed for facilitating reconstruction and validation of phylogenetic network models in evolutionary and comparative genomics. Our simulation tests indicated that they are fast enough for use in practice. Additionally, the distribution of the Soft Robinson-Foulds distance between phylogenetic networks is demonstrated to be unlikely normal by our simulation data. © 2017 The Author(s).
Source Title: BMC Genomics
URI: https://scholarbank.nus.edu.sg/handle/10635/173855
ISSN: 14712164
DOI: 10.1186/s12864-017-3500-5
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