Professor Magnus Bordewich m.j.r.bordewich@durham.ac.uk
Professor
Professor Magnus Bordewich m.j.r.bordewich@durham.ac.uk
Professor
Ina Maria Deutschmann
Mareike Fischer
Elisa Kasbohm
Charles Semple
Mike Steel
Phylogenetic inference aims to reconstruct the evolutionary relationships of different species based on genetic (or other) data. Discrete characters are a particular type of data, which contain information on how the species should be grouped together. However, it has long been known that some characters contain more information than others. For instance, a character that assigns the same state to each species groups all of them together and so provides no insight into the relationships of the species considered. At the other extreme, a character that assigns a different state to each species also conveys no phylogenetic signal. In this manuscript, we study a natural combinatorial measure of the information content of an individual character and analyse properties of characters that provide the maximum phylogenetic information, particularly, the number of states such a character uses and how the different states have to be distributed among the species or taxa of the phylogenetic tree.
Bordewich, M., Deutschmann, I. M., Fischer, M., Kasbohm, E., Semple, C., & Steel, M. (2018). On the information content of discrete phylogenetic characters. Journal of Mathematical Biology, 77(3), 527-544. https://doi.org/10.1007/s00285-017-1198-2
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 6, 2017 |
Online Publication Date | Dec 16, 2017 |
Publication Date | Sep 30, 2018 |
Deposit Date | Feb 27, 2018 |
Publicly Available Date | Dec 16, 2018 |
Journal | Journal of Mathematical Biology |
Print ISSN | 0303-6812 |
Electronic ISSN | 1432-1416 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 77 |
Issue | 3 |
Pages | 527-544 |
DOI | https://doi.org/10.1007/s00285-017-1198-2 |
Public URL | https://durham-repository.worktribe.com/output/1365961 |
Accepted Journal Article
(515 Kb)
PDF
Copyright Statement
The final publication is available at Springer via https://doi.org/10.1007/s00285-017-1198-2
Evaluating Gaussian Grasp Maps for Generative Grasping Models
(2022)
Presentation / Conference Contribution
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
(2021)
Presentation / Conference Contribution
Autoencoders Without Reconstruction for Textural Anomaly Detection
(2021)
Presentation / Conference Contribution
On the approximation complexity hierarchy.
(2011)
Presentation / Conference Contribution
Accuracy Guarantees for Phylogeny Reconstruction Algorithms Based on Balanced Minimum Evolution.
(2010)
Presentation / Conference Contribution
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search