The Complexity of Finding Multiple Solutions to Betweenness and Quartet Compatibility
Populations and Evolution
2015-03-17 v2 Computational Complexity
Data Structures and Algorithms
Abstract
We show that two important problems that have applications in computational biology are ASP-complete, which implies that, given a solution to a problem, it is NP-complete to decide if another solution exists. We show first that a variation of Betweenness, which is the underlying problem of questions related to radiation hybrid mapping, is ASP-complete. Subsequently, we use that result to show that Quartet Compatibility, a fundamental problem in phylogenetics that asks whether a set of quartets can be represented by a parent tree, is also ASP-complete. The latter result shows that Steel's \sc Quartet Challenge, which asks whether a solution to Quartet Compatibility is unique, is coNP-complete.
Cite
@article{arxiv.1101.2170,
title = {The Complexity of Finding Multiple Solutions to Betweenness and Quartet Compatibility},
author = {Maria Luisa Bonet and Simone Linz and Katherine St. John},
journal= {arXiv preprint arXiv:1101.2170},
year = {2015}
}
Comments
25 pages, 7 figures