Courses
SciLifeLab offer training and workshops for current and potential SciLifeLab infrastructure users, such as PhD students, postdocs, investigators and other employees within all Swedish universities.
The educational activities cover knowledge and understanding about the advanced techniques and data analysis methods available at the SciLifeLab technical platforms. In general, they are aimed for researches who have not previously been aware of – or lacked access to – the technologies SciLifeLab provides. 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 other educational activities and more focused on a single subject.
Please note that SciLifeLab training courses do not provide any formal university credits.
The course content is estimated to correspond to a certain number of credits, however the estimated credits are just guidelines.
If formal credits are crucial, the student needs to confer with the home department before course application, whether the course is valid for formal credits or not.
Please note that The SciLifeLab The Svedberg Seminar series is also a research course for graduate students.
2019-05-13 - 2019-05-15, Course | Uppsala
RNA-seq data analysis
This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of lectures and computer practicals. Application deadline: April 24, 2019
2019-05-14 - 2019-05-15, Course | Solna
Tools for reproducible research
In this course you will learn a system for working in computational research projects and making your data analyses reproducible. The topics include good practices for data management, version control, environment management, workflows, computational notebooks and containerization. Application deadline: April 14, 2019
2019-05-15 - 2019-05-17, Course | Uppsala
Introduction to Genome Annotation
The course is aimed at researchers that are involved in on-going or upcoming genome projects and wish to deepen their understanding of the various forms of data and computational steps required to achieve a comprehensive annotation. The focus of the course will be on non-model eukaryote organisms, and in particular the structural annotation of protein coding genes. Application deadline: April 8, 2019
2019-05-20 - 2019-05-24, Course | Gothenburg
Introduction to Bioinformatics using NGS data, Gothenburg
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: April 9, 2019
2019-05-20 - 2019-05-24, Course | Gothenburg
Quick and clean: advanced Python for data science in biology
This course is built around Python philosophy of being quick and clean (the so called Zen of Python) and thus assumes anything taking more than three days to learn is probably not worth the effort. For convenience it is structured based on the industry way of classifying big data jobs: data analytics, data science, data engineering. Application deadline: 2-3 weeks before the course starts.
2019-05-21 - 2019-05-23, Course | Uppsala
Biostatistics Essentials: a blackboard approach
In this course we focus on active learning approach. The course participants are expected to do some pre-course reading and exercises, corresponding up to 16h studying. The education consists of teaching blocks alternating between mini-lectures, group discussions, live coding sessions etc. A special focus is put on understanding basic concepts by solving problems with pen and paper. We believe in less-is-more principle, so be ready to say no to digital exhaustion to truly learn something with our modern “blackboard approach”. Application deadline: March 31, 2019
2019-06-03 - 2019-06-05, 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 25, 2019
2019-06-10 - 2019-06-20, Course | Visby
RaukR, Advanced R for Bioinformatics, Summer course
Join us in medieval Visby this June to improve your R skills and have a nice time!
In Life Science and Bioinformatics, R is increasingly being used to transform and analyse data, perform statistical analysis and produce publication-ready visualizations. This Summer course will focus on advanced R functionality to increase the participants skillset and understanding of what is possible to do today. Application deadline: April 1, 2019.
2019-08-26 - 2019-08-30, Course | Solna
Epigenomics data analysis
This course builds on our previous ChIP-seq data analysis course to introduce the best practice bioinformatics methods for processing, analyses and integration of epigenomics data. Application deadline: July 21, 2019
2019-09-09 - 2019-09-13, Course | Uppsala
Introduction to Bioinformatics using NGS data, Uppsala
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: June 11, 2019
2019-09-09 - 2019-09-12, Course | Solna
Omics Integration and Systems Biology
The aim of this workshop is to provide an integrated view of biological network construction and integration, constraint-based modelling, multi-omics integration and hypothesis generation. Application deadline: June 28, 2019
2019-09-17 - 2019-09-18, Course | Solna
Bioinformatics for Principal Investigators
The course will give an introduction to some of the challenges you as a research leader might face in your projects where bioinformatics tools and research is used; to provide guidance on strategies for managing data and the importance of data sharing; how to encourage bioinformatics development in your team and / or work with collaborators and what resources are available, with special focus on resources within SciLifeLab. Application information TBA
2019-09-23 - 2019-09-27, Course | Solna
Single particle Cryo-EM image processing
This course provides a theoretical and practical introduction to cryo-EM image processing. It consists of morning lectures and computational image processing practicals in the afternoon. It focuses mainly on single particle cryo-EM data analysis and will not cover cell tomography. Application deadline: August 22, 2019
2019-10-23 - 2019-10-25, Course | Solna
Chemical Proteomics
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. Application deadline: September 23, 2019
2019-11-05 - 2019-11-07, Course | Solna
Hands on Immunofluorescence
The purpose of the course is to get experience from preparing samples for immunofluorescence and learn about fluorescence microscopy and how to acquire images from confocal microscopes. The course will combine theory and hands on work by performing a typical immunofluorescence workflow.
Participants will start in the cell lab with cell culturing and seeding, perform immunostaining with three markers and a target protein of choice (if applicable), and image the samples using a confocal microscope. At the microscope the concept of fluorescence will be demonstrated and some exercises will be done to illustrate how confocal microscopy and fluorescence microscopy works. The course will also cover annotation of immunofluorescence images and students will get practice on annotating images acquired. Application deadline: October 1, 2019
