Elements of R for genetics and bioinformatics - Module 3 - Swiss institute in statistical genetics

3-5 September 2014 (2,5 days)

Course in collaboration with CUSO Doctoral Program in Ecology & Evolution


Prof. Thomas Lumley , The University of Auckland (New Zealand)

Prof. Kenneth Rice , University of Washington (USA)

Objectives and Content

 This module introduces programming skills required for analysis of genetic data, in the R statistical environment.

The module assumes prior knowledge of R.

We will briefly review how R scripts are built up from interactive commands, and then discuss how to turn these into R programs based on user-defined functions.

We will cover R’s debugging system, its tools for enhancing efficiency of code, and its methods for handling errors and warnings.

In many genomic applications, R packages already exist to perform specialized statistical and bioinformatic analyses, and we will introduce packages for handling large datasets, and the Bioconductor repository of genomic packages.

General information

Date:  3-5 September 2014

Schedule: see course web site

Location: University of Lausanne, Biophore, Amphitheater

Credit point: 1.5 credit point (Research tools)

Evaluation: Full attendance and active participation

Information: Please contact  the CUSO doctoral program coordinator Caroline Betto-Colliard

  • Please bring your laptop to the course!

Registration fee : Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE)

Meals : The DP-biol doctoral program in Organismal biology does not reimburse meals

Travel expenses: For participants of the DP-biol doctoral program in Organismal biology, the train (2nd class, half-ticket) from home University to University of  Lausanne (with city ticket) will be reimbursed (see also more information )


Priority is given to PhD students of the DPEE and the DP-biol until 15 April 2014. After this deadline, first-come, first-served!

Maximum number of participants: 60

!PREREQUISITE!  Have attended the course "An introduction to R" or a similar course.

Online registration on the CUSO doctoral program Ecology and Evolution web site: closed

Deadline: 22 August 2014