Courses


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.

The Swedish Bioinformatics Advisory Program for PhD students is currently open for application. Apply here latest December 12.


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.

2018-05-21 - 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 open: January 10. Application deadline March 26.

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

Advanced Molecular Technology and Instrumentation for Proteome Analyses, 3 hp

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