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 The SciLifeLab The Svedberg Seminar series is also a research course for graduate students.
2018-11-12 - 2018-11-16, Course | Umeå
Introduction to Bioinformatics using NGS data, Umeå
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: September 27
2018-11-12 - 2018-11-16, Course | Uppsala
R programming foundations for Life Science
The course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting emphasizing the parts useful for life scientists. After introductory lectures on good programming practices, basic software design theory and a brief overview of R, we will delve into programming. We will give you tools to access help and information on R-related challenges and issues, spend some time learning how to install external packages, how to find bugs and address common installation issues. The course will be given by experienced computational biologists from SciLifeLab and Uppsala University. Application deadline, October 31
2018-11-14 - 2018-11-16, Course | Umeå
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: October 2
2018-11-19 - 2018-11-23, Course | Uppsala
Python programming with applications to bioinformatics
This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. National course open for PhD students, postdocs, researchers and other employees in need of fundamental Python skills within all Swedish universities. Application deadline, October 11
2018-11-20 - 2018-11-22, Course | Uppsala
De Novo Genome assembly
The course is mostly aimed at researchers getting into their first de novo genome assembly project, but will also include information of use for the more experienced researcher. We will cover assembly of both prokaryotes and eukaryotes and spend a lot of time on learning how to run the analyses in hands-on computer exercises. Application deadline: October 15
2018-11-28 - 2018-11-29, Course | Göteborg
Tools for Reproducible Research
National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities with interest in making their computational analysis more reproducible. Application deadline: October 26
2019-02-04 - 2019-02-08, 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: December 3
