Introduction to Bioinformatics for Molecular Biologists. This course is open for Master and PhD students. Coordinator: Berend Snel. This course is given once a year.
“Introduction to Bioinformatics for Molecular Biologists” is a joint course for the various life science Masters programs at the Utrecht University. This introductory course provides an overview of the importance of bioinformatics in various biological disciplines. While a biological background is required, no programming skills are needed. The course can be considered a general introduction to bioinformatics, with a focus on the research that is performed at Utrecht University. The theory and tools for bioinformatics provided are very useful for any life science researcher. The course will be partially theoretical with lectures taking up to 30% of the day while the major focus will be on working with various tools and datasets. These computer tasks are performed in groups of 2 students. The maximum number of participants for this course is 40 students. The course will be concluded on the last day with an exam that consists of normal pen-and-paper questions but also of tasks that should be completed on the computer. Active participation during the course provides sufficient preparation to complete the exam. Furthermore, follow-up courses are organized later in the year that will allow you to specialize in specific directions. Students are expected to be familiar with the subjects from this introductory course when participating in any of the follow-up courses.”
Advanced Bioinformatics: Data analysis and Data integration for biomedical research. This course is open for Master and PhD students. Coordinators: Joep de Light This course is given once a year. See Osiris for more
Introduction into the statistical language [R], This course is open for Master and PhD students. Coordinators: Adrien Melquiond. This course is given once or twice a year.
“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 visualising 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.”
An advanced course in [R] for Molecular Biology. This course is open for Master and PhD students. Coordinator: Henk van den Toorn. This course is given once a year. See Osiris
Learn the Basics in Python. This course is open for Master and PhD students. Coordinator: Aridaman Pandit, Adrien Melquiond . This course is given once a year.
Learn advanced concepts and tools for reconstructing protein, genome and network evolution. This course is open for Master and PhD students. Coordinator: Berend Snel. This course is given once every two years.
See the (potentially old) webpage of the course for more information