Schedule:
The course runs for five days from approximately 9.00 till 16.00. Each day consists of a morning and afternoon session that will start with a short lecture followed by an interactive hands-on computer practical to familiarize students with R. Attendance is required at all times. A programming assignment in R is used for grading the course.

Content:
Due to technological advances in molecular biology (genomics, large-scale systems biology) research in the life sciences is becoming increasingly data rich. Currently, appropriate analyses of large-scale datasets (proteomics, genomes, Htseq, RNAseq, ChIPseq, etc) are a limiting factor. The aim of this course is to give a basic training in R for molecular biologists.
R is a widely used software environment for statistical computing and provides a wide variety of libraries for data manipulation, modeling and visualization. The course will give an introduction to R and Rstudio, an integrated development environment for R. Throughout the course you will use a single data set to take you through the basic functionality of R and Rstudio in an interactive fashion. Supplemented with several commonly used libraries, plotting and analyses routines and supporting data sets this will familiarize students with R and at the same time show the value of using R for analyzing and visualizing large amounts of data. At the beginning of the course you will be given a programming assignment that has to be handed in at the end of the course, based upon which a grade will be given.

Prerequisites knowledge

• A good understanding of molecular biology
• Affinity with data-driven life science research
• Previous experience with computer programming is not required

Course material:

• R (will be available on the provided course laptops, www.r-project.org)
• Rstudio (will be available on the provided course laptops, www.rstudio.com)
• Lectures, exercises and corrections handouts will be provided during the course.

Registration