Award details

Bayesian estimation of molecular phylogenies.

Reference	E09806
Principal Investigator / Supervisor	Professor Ziheng Yang
Co-Investigators / Co-Supervisors
Institution	University College London
Department	Genetics Evolution and Environment
Funding type	Research
Value (£)	126,943
Status	Completed
Type	Research Grant
Start date	11/02/1999
End date	11/02/2002
Duration	36 months

Abstract

Bayesian estimation provides an exciting methodology for phylogenetic reconstruction, which may eliminate some of the conceptual difficulties encountered in currently available methods. In this project, efficient Markov chain Monte Carlo algorithms will be developed to calculate posterior probabilities of phylogenetic trees using DNA sequence data by adopting importance sampling techniques. The underlying mathematical models will be improved by introducing variable-rate birth-death process with species sampling. The statistical properties of Bayesian phylogenetic estimation will be examined by computer simulation. Computer software implementing the Bayesian phylogenetic method will be developed.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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