Bibliographic Details
| Title: |
Maximum Covering Subtrees for Phylogenetic Networks |
| Authors: |
Davidov, Nathan, Hernandez, Amanda, Jian, Justin, McKenna, Patrick, Medlin, K. A., Mojumder, Roadra, Owen, Megan, Quijano, Andrew, Rodriguez, Amanda, John, Katherine St., Thai, Katherine, Uraga, Meliza |
| Publication Year: |
2020 |
| Collection: |
Computer Science
Quantitative Biology |
| Subject Terms: |
Quantitative Biology - Populations and Evolution, Computer Science - Data Structures and Algorithms |
| More Details: |
Tree-based phylogenetic networks, which may be roughly defined as leaf-labeled networks built by adding arcs only between the original tree edges, have elegant properties for modeling evolutionary histories. We answer an open question of Francis, Semple, and Steel about the complexity of determining how far a phylogenetic network is from being tree-based, including non-binary phylogenetic networks. We show that finding a phylogenetic tree covering the maximum number of nodes in a phylogenetic network can be be computed in polynomial time via an encoding into a minimum-cost maximum flow problem. |
| Document Type: |
Working Paper |
| DOI: |
10.1109/TCBB.2020.3040910 |
| Access URL: |
http://arxiv.org/abs/2009.12413 |
| Accession Number: |
edsarx.2009.12413 |
| Database: |
arXiv |
