In phylogenetic analysis, an important issue is to construct the confidence region
for gene trees from DNA sequences. Usually estimation of the trees is the initial
step. Maximum likelihood methods are widely applied but few tests are based on
distance methods. In this thesis, we propose a new test based on balanced minimum
evolution. We first examine the normality assumption of pairwise distance estimates
under various model misspeci cations and also examine their variances, MSEs and
squared biases. Then we compare the BME method with the WLS method in true
tree reconstruction under different variance structures and model pairs. Finally, we
develop a new test for finding a confidence region for the tree based on the BME
method and demonstrate its effectiveness through simulation.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/36288 |
| Date | 16 August 2013 |
| Creators | Dai, Wei |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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