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
Speakers
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 )
Registration
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