SS100 - Pathogen Analysis Using BEAST

Description:

One of the most powerful methods for the evolutionary analysis of molecular sequence data is Bayesian Markov chain Monte Carlo (MCMC). The most flexible software for implementing these methods is BEAST (Bayesian Evolutionary Analysis by Sampling Trees). However, this flexibility requires increased complexity, and this lecture will help the user to be less overwhelmed by the variety of options available in BEAST. After a brief introduction to Bayesian analysis methods we will make a simple BEAST run using time-sampled sequence data for the purpose of estimating substitution rates and the underlying time-scaled phylogeny. Individuals signing up for this lecture should be familiar with basic concepts of molecular evolution and phylogenetics. A background in Bayesian statistics is not required.

Objectives:

Reasonable Accommodations

Individuals who need reasonable accommodation to participate in CIT Training courses should let CIT Training know at least 5 days prior to the class. For interpreting services, please request them from the ORS Interpreting Services by completing the form at Interpreting Services Form or calling (301) 402-8180 or TTY (301) 435-1908 at least 5 days before the start of the class.

Who should attend:

NIH staff who will be performing computer analysis of biological sequence data. Lectures assume no prior experience with specific software packages but you should know your way around a computer. Attendees should be familiar with basic concepts of genetics and evolutionary biology.

Instructor(s):

Dr. Kurt Wollenberg, NIAID

Time Required:

3 Hours

Sections Available: