JSM 2005 - Toronto

Abstract #304248

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Activity Number: 474
Type: Topic Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #304248
Title: A Bayesian Modeling of AFLP Data and Phylogenetic Inference
Author(s): Ruiyan Luo*+ and Bret Larget
Companies: University of Wisconsin, Madison and University of Wisconsin, Madison
Address: Department of Statistics, Madison, WI, 53706,
Keywords: MCMC ; phylogeny ; AFLP ; restriction site
Abstract:

Amplified Fragment Length Polymorphism (AFLP) markers are a type of genetic information especially useful to plant biologists. Under the assumption that band losses and gains are due to substitutions that lead to losses or gains of recognition sites or to the gain of a band within the sites---not to insertion/deletion events---we describe a Bayesian approach to modeling AFLP marker evolution and describe an MCMC approach to estimate phylogeny from AFLP data. We use the MCMC approach to construct phylogeny for a dataset and compare the result to the phylogeny obtained by distance method based on the Nei-Li distance.

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