1. Bayesian Evolutionary Analysis by Sampling Trees (BEAST) LEE KIM-SUNG Environmental Health Institute National Environment Agency

2. Analysis of Sequence Variation Polymorphisms Phylogenetics Statistic and evolution  Parameter estimation  Hypothesis testing

3. BEAST Framework for parameter estimation and hypothesis testing of evolutionary models Bayesian statistical framework  Combination of prior knowledge and data information Cross-platform for Bayesian MCMC analysis of molecular sequences

4. BEAST Drummond AJ, Rambaut A (2007) "BEAST: Bayesian evolutionary analysis by sampling trees." BMC Evolutionary Biology 7:214 23 versions since June 2003  Increasing range of models implemented >150 publications Java platform Open source

5. What can BEAST do? Molecular clock models  constant, variable (relaxed)  Non-contemporaneous sequences (tipdate)  Local clock Coalescent models  Population size and growth  Multi-locus Estimation of divergence date Substitution model heterogeneity across sites Flexible model specification

6. BEAST Workflow Sequence alignment Generating XML in Beauti Running BEAST Specify parameters and models Analyzing BEAST output Tracer Tree Annotater Low ESS

7. Beauti : Generating XML file A graphical user interface for generating BEAST XML input files for a number of model combinations

8. Running BEAST

9. Tracer: Analyzing BEAST output

10. Phylogenetic Analysis

11. Demographic history

12. Grid Enabled BEAST? BEAST performance   dictated by speed of likelihood evaluation at each state   dataset,  parameter   running time  e.g. Phylogeographic analysis   11 days (Core 2 Duo, 2.8 GHz, 4GB RAM)   5 days (Mac Cluster) Possibility of Grid computing for BEAST?

13. Thank You