DocumentCode
1352746
Title
Algorithms for Reticulate Networks of Multiple Phylogenetic Trees
Author
Zhi-Zhong Chen ; Lusheng Wang
Author_Institution
Div. of Inf. Syst. Design, Tokyo Denki Univ., Saitama, Japan
Volume
9
Issue
2
fYear
2012
Firstpage
372
Lastpage
384
Abstract
A reticulate network N of multiple phylogenetic trees may have nodes with two or more parents (called reticulation nodes). There are two ways to define the reticulation number of N. One way is to define it as the number of reticulation nodes in N in this case, a reticulate network with the smallest reticulation number is called an optimal type-I reticulate network of the trees. The better way is to define it as the total number of parents of reticulation nodes in N minus the number of reticulation nodes in N ; in this case, a reticulate network with the smallest reticulation number is called an optimal type-II reticulate network of the trees. In this paper, we first present a fast fixed-parameter algorithm for constructing one or all optimal type-I reticulate networks of multiple phylogenetic trees. We then use the algorithm together with other ideas to obtain an algorithm for estimating a lower bound on the reticulation number of an optimal type-II reticulate network of the input trees. To our knowledge, these are the first fixed-parameter algorithms for the problems. We have implemented the algorithms in ANSI C, obtaining programs CMPT and MaafB. Our experimental data show that CMPT can construct optimal type-I reticulate networks rapidly and MaafB can compute better lower bounds for optimal type-II reticulate networks within shorter time than the previously best program PIRN designed by Wu.
Keywords
bioinformatics; evolution (biological); genetics; trees (mathematics); ANSI C; CMPT; MaafB; PIRN; fast fixed-parameter algorithm; multiple phylogenetic trees; reticulate networks; reticulation nodes; Algorithm design and analysis; Bioinformatics; Computational biology; Materials; Phylogeny; Vegetation; Phylogenetic trees; lower bounds of reticulate numbers.; reticulate networks; Algorithms; Computational Biology; Computer Simulation; Evolution, Molecular; Models, Genetic; Models, Statistical; Phylogeny;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2011.137
Filename
6051423
Link To Document