Title :
A Metric on the Space of Reduced Phylogenetic Networks
Author_Institution :
Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
Abstract :
Phylogenetic networks are leaf-labeled, rooted, acyclic, and directed graphs that are used to model reticulate evolutionary histories. Several measures for quantifying the topological dissimilarity between two phylogenetic networks have been devised, each of which was proven to be a metric on certain restricted classes of phylogenetic networks. A biologically motivated class of phylogenetic networks, namely, reduced phylogenetic networks, was recently introduced. None of the existing measures is a metric on the space of reduced phylogenetic networks. In this paper, we provide a metric on the space of reduced phylogenetic networks that is computable in time polynomial in the size of the networks.
Keywords :
bioinformatics; computational complexity; directed graphs; evolution (biological); genetics; trees (mathematics); acyclic graphs; directed graphs; leaf labeled graphs; phylogenetic networks; reduced phylogenetic network space metric; reticulate evolutionary histories; rooted graphs; time polynomial computable problem; Phylogeny; indistinguishability; metric.; phylogenetic network; reduced phylogenetic network; Algorithms; Computational Biology; Evolution; Models, Genetic; Phylogeny;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2009.2