Course module: BMB502214
Introduction to R for Life Sciences
Category / Level
Language of instruction
Faculty of Medicine;
Graduate School of Life Sciences;
Cancer, Stem Cells and Development Biology;
dr. A.S.J. Melquiond
Contactperson for the course
dr. A.S.J. Melquiond
Other courses by this lecturer
(29/08/2016 to 26/08/2017)
Teaching period in which the course begins
-: Not in use
Dates 21-25 nov 2016 & 23-27jan 2017 Apply via www.CSnD.nl max 30 participants per course
Course application process
Enrolling through OSIRIS
Enrolment open to students taking subsidiary courses
Course placement process
getting familiar with R and Rstudio;
working with data structures, objects and functions;
basic flow control;
importing and manipulating data;
writing (simple) functions;
application of basic statistics.
21 November 2016 – 25 November 2016 and 23 January – 27 January 2017, see www.CSnD.nl/courses
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.
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.
A good understanding of molecular biology
Previous experience with computer programming is not required
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)
Please register online on the CS&D website:
. CS&D students have priority in registration until 3 weeks before the start of the course. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 30 participants is reached.
Mandatory for students in Master’s programme