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Bayesian inference of the genealogy of a predominantly selfing population from multi-locus genotype data
Reference
D16977
Principal Investigator / Supervisor
Dr Kevin Dawson
Co-Investigators /
Co-Supervisors
Institution
Rothamsted Research
Department
Rothamsted Research Department
Funding type
Research
Value (£)
150,188
Status
Completed
Type
Research Grant
Start date
14/04/2003
End date
13/08/2006
Duration
40 months
Abstract
We will develop a Bayesian inference programme for making inferences about the genealogy of selfing lines and the outcrossing rate, from multi-locus genotypic data. The basic approach will be to choose a reasonable prior distribution for the genealogy of a sample from a small predominantly selfing population (recently separated from a larger population), and then use an MCMC (Markov chain Monte Carlo) algorithm to sample the full posterior distribution of all the parameters (and hidden random variables) of the model. In this way, we will be able to compute the marginal posterior distribution of any parameter or hidden random variable of interest.
Summary
unavailable
Committee
Closed Committee - Agri-food (AF)
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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