Computational Phylogenetics
... Molecular Data, Evolutionary Modeling and Computational Tools

Markov process

Program Outline

Markov models play an important role in biological modelling. They are involved in many areas of biology including gene and motif predictions to phylogenetics and macroevolution. The goal of this course is to give a broad theoretical overview of these models and the biological processes that can be studied with them.

Teachers

Andrea Krauss, EPFL, Lausanne (link)
Nicolas Salamin, University of Lausanne
Frédéric Schütz, Swiss Institute of Bioinformatics (link)
Brian O'Meara, University of Tennessee, Knoxville (link)

Schedule

Day 1 - October 1st 2013
Introduction to Markov models (A. Krauss)

Day 2 - October 2nd 2013
Continuous time Markov process on discrete states (N. Salamin)

Day 3 - October 3rd 2013
Hidden Markov models (F. Schütz)

Day 4 - October 4th 2013
Markov models in comparative methods (B. O'Meara)

Documents

  • Day 1 (A. Krauss): for lectures and practicals, see here
  • Day 2 (N. Salamin): lecture and practicals
  • Day 3 (F. Schütz): for lectures and practicals, see here
  • Day 4 (B. O''Meara): for lectures and practicals, see here
Written on Tuesday October 8, 2013