Fast Methods for Solving the Cluster Containment Problem for Phylogenetic Networks

01/14/2018
by   Andreas D. M. Gunawan, et al.
0

Genetic and comparative genomic studies indicate that extant genomes are more properly considered to be a fusion product of random mutations over generations and genomic material transfers between individuals of different lineages. This has motivated researchers to adopt phylogenetic networks and other general models to study genome evolution. One important problem arising from reconstruction and verification of phylogenetic networks is the cluster containment problem, namely determining whether or not a cluster of taxa is displayed in a phylogenetic network. In this work, a new upper bound for this NP-complete problem is established through an efficient reduction to the SAT problem. Two efficient (albeit exponential time) methods are also implemented. It is developed on the basis of generalization of the so-called reticulation-visible property of phylogenetic networks.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/20/2018

The compressions of reticulation-visible networks are tree-child

Rooted phylogenetic networks are rooted acyclic digraphs. They are used ...
research
02/15/2018

On the P vs NP question: a proof of inequality

The analysis discussed in this paper is based on a well-known NP-complet...
research
03/20/2020

New heuristics for burning graphs

The concept of graph burning and burning number (bn(G)) of a graph G was...
research
06/29/2018

(k,p)-Planarity: A Generalization of Hybrid Planarity

A graph G is (k,p)-planar if its vertices can be partitioned into cluste...
research
04/21/2021

Towards a more efficient approach for the satisfiability of two-variable logic

We revisit the satisfiability problem for two-variable logic, denoted by...
research
11/26/2015

A Symbolic SAT-based Algorithm for Almost-sure Reachability with Small Strategies in POMDPs

POMDPs are standard models for probabilistic planning problems, where an...

Please sign up or login with your details

Forgot password? Click here to reset