Title
Polynomial-Time Algorithms for Phylogenetic Inference Problems.
Abstract
A common problem in phylogenetics is to try to infer a species phylogeny from gene trees. We consider different variants of this problem. The first variant, called Unrestricted Minimal Episodes Inference, aims at inferring a species tree based on a model of speciation and duplication where duplications are clustered in duplication episodes. The goal is to minimize the number of such episodes. The second variant, Parental Hybridization, aims at inferring a species network based on a model of speciation and reticulation. The goal is to minimize the number of reticulation events. It is a variant of the wellstudied Hybridization Number problem with a more generous view on which gene trees are consistent with a given species network. We show that these seemingly different problems are in fact closely related and can, surprisingly, both be solved in polynomial time, using a structure we call "beaded trees". However, we also show that methods based on these problems have to be used with care because the optimal species phylogenies always have some restricted form. We discuss several possibilities to overcome this problem.
Year
DOI
Venue
2018
10.1007/978-3-319-91938-6_4
ALGORITHMS FOR COMPUTATIONAL BIOLOGY (ALCOB 2018)
Keywords
Field
DocType
Phylogenetic inference problems,Polynomial-time algorithms
Phylogenetic inference,Biology,Inference,Algorithm,Number problem,Phylogenetics,Gene duplication,Time complexity
Conference
Volume
ISSN
Citations 
10849
0302-9743
0
PageRank 
References 
Authors
0.34
10
5
Name
Order
Citations
PageRank
Leo van Iersel121524.58
Remie Janssen201.69
M. Jones334.67
Yukihiro Murakami402.70
Norbert Zeh514415.37