Introduction to Markov models

Date 12 - 14 April 2016
Speaker(s) Sophie Hautphenne, Nicolas Salamin, Laurent Géguen, Daniel Wegmann
Fees *academic: 150 CHF   -   for-profit: 0 CHF
Cancellation deadline 12 Apr 2016
City Lausanne
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.

 

This course is organised by the SIB PhD Training Network. Priority is given to its members, but is open to everyone.

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

You will learn the following topics:

  1. Theoretical background on Markov models,
  2. Markov models outside molecular data,
  3. Introduction to hidden Markov models,
  4. Maximum likelhood estimation of Markov model parameters for sequence evolution

Prerequisites

Knowledge: Good understanding of mathematics for biologist; knowledge of evolutionary biology; ability to use R.

Computer: bring your own laptop

Software: R installed

Application

The registration fees for academics are 150 CHF. This includes course content material, coffee breaks and a social dinner/lunch. Participants from non-academic institutions should contact us before application.

Location

University of Lausanne, Génopode building, classroom 2020 (Metro M1 line, Sorge station)

Additional information

For technical and scientific questions, please contact training@sib.swiss.

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