Scholz, Guillaume (2018) New algorithms and mathematical tools for phylogenetics beyond trees. Doctoral thesis, University of East Anglia.
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Abstract
Phylogenetic trees and networks are mathematical structures for representing the evolutionary history of a set of taxa. The need for methods to build such structures from various type of data, as well as the need to understand the story these data may tell, give rise to exciting new challenges for mathematics and computer sciences. This thesis presents some recent advances in both these directions. It features new mathematical methodology for reconstructing phylogenetic networks, and new computational tools for inferring complex evolutionary scenarios. These come with a thorough analysis, assessing their attractiveness in terms of their theoretical properties. It expands on previous results, which are themselves briefly reviewed, and conclude with potentially interesting further research questions.
Item Type: | Thesis (Doctoral) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
Depositing User: | Jackie Webb |
Date Deposited: | 08 May 2018 09:26 |
Last Modified: | 30 Apr 2021 00:38 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/66952 |
DOI: |
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