Abstract
dc:description.abstractAbstract The motivation of phylogenetic analysis is to discover the evolutionary relationships between species, with the broader aim of understanding the origins of life. Our understanding of the molecular character- istics of species through DNA sequencing permanently changed the approach to understanding the evolution of species. Indeed, the ad- vancement of technology has played a major role in the fast sequencing of DNA as well as the use of computers in solving biological problems in general. These evolutionary relationships are often visualised and represented using a phylogenetic tree. As a natural generalisation of phylogenetic trees, phylogenetic networks are used in biology to rep- resent evolutionary histories that contain reticulate, or non-treelike events such as recombination, hybridisation and horizontal gene trans- fer. The reconstruction of explicit phylogenetic networks from biolog- ical data is currently an active area of phylogenetics research. Here we consider the problem of constructing such networks from trinets, that is, phylogenetic networks on three leaves. More speci�cally, we present the SeqTrinet and TriLoNet methods, which form a supernet- work based approach to constructing level-1 phylogenetic networks directly from multiple sequence alignments.
Degree
thesis:*- Name dc:type.qualificationname
- phd
- Level dc:type.qualificationlevel
- doctoral
- Grantor dc:publisher.institution
- University of East Anglia
- Year dc:date.issued
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Oldman, James
Rights
- Language dc:language
- en