Upcoming streamed courses by the SIB, Swiss Institute of Bioinformatics
SwitzerlandCheck out here the list of upcoming streamed courses by the SIB Swiss Institute of Bioinformatics.
You can also check the SIB Training webpage and sign up to the courses' mailing list (under 'Stay tuned') to remain informed about any changes to the future training activities.
Bgee is a curated database of gene expression in animals, including model species such as human, mouse or drosophila, and others. In this course, we will present the Bgee companion tools, Bgee’s online functionalities, and Bgee R packages to retrieve data and integrate them into one’s own workflow.
openBIS is a combined data management platform that allows scientists to document and store efficiently their daily experimental or computational work. We will focus on user training, data analysis and the admin training.
If you are a beginner in bioinformatics and wanting to become familiar with the UNIX environment and master the most common commands, this course is for you. UNIX is for instance very useful to run software dedicated to high-throughput data management or workflows in a terminal.
In this course, you will have the opportunity to update and extend your knowledge of glycoproteins through the use of bioinformatics resources collectively called “glycoinformatics”. We will provide an overview of the challenging questions raised by the study of glycans as non-template driven molecules.
OpenMP is a minimally invasive open-source parallelization method that allows fast and straight-forward parallelization of currently working serial codes. This course is addressed to researchers who want to take their first steps in parallel computing.
If you are a beginner in programming languages and want to become familiar with writing Python code, this course is for you. You will be able to accomplish common tasks such as automated data parsing, basic statistical operations and graphical representations.
In this course, you will discover a selection of advanced topics on single-cell transcriptomics such as methods that are still being actively developed which go beyond the classical and well-established analysis workflows. The typical steps in single-cell transcriptomics analysis will not be covered in this course and familiarity with them is considered a prerequisite.
R is a tool of choice for biologists and biomedical scientists who need to analyse large amounts of data. In this course, you will be introduced to R and Rstudio. You will practice data manipulation, graphical exploration, statistical hypothesis testing and modelling with R.
In this course, you will have a general introduction on the galaxy web-page structure, how to import data, run tools, share analyses. You will also run a whole NGS analysis using an ATAC-seq dataset as an example.