Introduction to Markov models

Lausanne, 12-14 April 2016

Overview

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.

Learning objectives

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

Prerequisites

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.

Additional information

For technical and scientific questions, please contact training@isb-sib.ch

Link for registration