SciLifeLab offer educational courses and workshops for SciLifeLab infrastructure users and potential users, such as PhD students, postdocs, investigators and other employees within all Swedish universities.

The courses and workshops cover knowledge and understanding about the advanced techniques and data analysis methods available at the SciLifeLab technical platforms. In general the courses are aimed for researches who have not previously been aware of – or lacked access to – the technologies SciLifeLab provides. Via the courses and workshop you can learn how to benefit from SciLifeLab’s scientific resources, how to plan your projects and how to analyze your data. The workshops are usually shorter than the courses and more focused on a single subject. Please note that The SciLifeLab The Svedberg Seminar series is also a research course for graduate students.

2017-12-01 - 2018-06-30, Course | Online

Introduction to high throughput screening

This web-based CBCS course gives a broad introduction to high throughput screening (HTS) that is technique used to identify biologically active small organic molecules through screening of compound libraries with the help of robust test systems and advanced instrumentation. Course participants are accepted continuously.

2018-02-19 - 2018-03-23, Course | Umeå

Bioanalytical methodologies with emphasis on use of chromatography and mass spectrometry in metabolomics analysis

This course will cover theoretical and practical aspects of various combinations of chromatography and mass spectrometry commonly used in metabolomics analysis. Registration deadline: February 2.

2018-03-22 - 2018-03-23, Course | Stockholm

Tools for reproducible research

In this course you will learn how to make your data analyses reproducible, including good practices for data analysis and how to use version control systems. Application deadline February 18

2018-04-10 - 2018-04-11, Course | Stockholm

Antibody based technologies

The workshop will focus on antibody based technologies and describe the possibilities of using these technologies within the facilities at SciLifeLab. Lectures will cover both theoretical and more practical aspects of the different applications. Application deadline February 25.

2018-05-14 - 2018-05-16, Course | Uppsala


This NBIS course will cover both theoretical and hands-on exposure to current topics in RNA-seq analysis. Lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly in model and non-model organisms, differential expression analysis and downstream analysis using other types of data.

2018-05-14 - 2018-05-16, Course | Umeå

Cryo-EM sample preparation and data collection

The purpose of the course is to prepare and train our users in sample preparation methods, introduce users to image data acquisition workflow, expand knowledge about cryo-EM methods among Swedish researchers and finally show that everyone can learn how to use cryo-EM, if this method is needed in a project. Application deadline: April 15, 2018

2018-05-15 - 2018-05-17, Course | Uppsala

Introduction to Genome Annotation

The focus of this NBIS course will be on non-model eukaryote organisms, and in particular the structural annotation of protein coding genes. We will use de novo gene finders, protein alignments and RNA-seq data to infer the structure of genes, and show how to combine these different lines of evidence to get the most stable and informative annotation.

2018-05-15 - 2018-05-31, Course | Linköping

Single cell analysis using flow and mass cytometry

The purpose of the course is to prepare and train course participants to plan mass cytometry experiments on a detailed level and to be able to decide which analytical software to use on acquired mass cytometry data. Application deadline: April 15, 2018.

2018-05-21 - 2018-05-25, Course | Linköping

Introduction to Bioinformatics using NGS data

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs. Application deadline March 26.

2018-05-21 - 2018-05-23, Course | Stockholm

Single cell RNA sequencing data analysis

This course will cover the basic steps in single cell RNAseq (scRNAseq) processing and data analysis. Topics covered will include an overview of the current scRNAseq techniques, overview of pipelines for processing, quality control and analysis tools.

2018-05-23 - 2018-05-25, Course | Stockholm

Chemical Proteomics 2018

This course will cover most updated chemical proteomics strategies available for identifying proteome-wide compound-target interactions, which ChemProt provides at the state-of-the-art level.

2018-08-27 - 2018-09-07, Course | Uppsala

Advanced Molecular Technology and Instrumentation for Proteome Analyses

The course will provide insight into state-of-the-art technologies for proteome analyses in research and medicine via advanced molecular technologies, reagent resources and instrumentation. The course will convey, by lectures and hands-on training, information about established and emerging methods and technologies relevant in basic research and diagnostics. Affinity- and non-affinity-based methods for protein analyses will be covered. Application deadline: June 15, 2018

2018-08-27 - 2018-08-31, Course | Uppsala, Stockholm

Biophysical methods in drug discovery

The course will focus on different biophysical methods used for characterising protein-ligand interactions in drug discovery projects. It will cover a range of biophysical methods used to characterize interactions between drug target proteins and potential inhibitory compounds, and how to use the information for lead generation. The methods include, but are not limited to those offered at the three SciLifeLab facilities. The course consists of lectures with active discussion from the participants, computer exercises, and demonstrations in the form of laboratory experiments. Application deadline: May 26, 2018.