Introduction to Markov models
Lausanne, 12-14 April 2016
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.
At the end of the course, you will be supposed to know:
i) theoretical background on Markov models,
ii) Basic concepts for Markov chain Monte Carlo,
iii) Maximum likelhood estimation of Markov model parameters for sequence evolution,
iv) Hidden Markov models
Knowledge: Good understanding of mathematics for biologist; knowledge of evolutionary biology; ability to use R.
Computer: bring your own laptop
Software: R installed
Location & timing
University of Lausanne, Genopode building, classroom 2020 (Metro M1 line, Sorge station). The course starts at 9:00 and ends around 17:00.
For technical and scientific questions, please contact email@example.com