Courses


SciLifeLab offer educational courses and workshops for 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.


2017-08-21 - 2017-08-24, Course | Uppsala

UPPMAX Introductory Course Summer 2017

The course provides an introduction to the high-performance computing (HPC) environment offered at Uppmax. The course provides an overview of how the systems work and covers skills from basic Linux usage to advanced tips and tricks, including Python scripting.
Note: Registrations are on a first come-first serve basis.

2017-08-28 - 2017-09-08, 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 be organized by the proteomics facilities at Science for Life Laboratory, Uppsala, and 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.

2017-09-11 - 2017-09-15, Course | Uppsala

Perl Programming with Application to Bioinformatics, 2 hp

Perl is the ideal programming language for biological data analysis. The course is for students with little or no prior knowledge in Perl who need computational skills to handle large datasets. Familiarity in using a Unix command line (e.g. Mac OSX or Linux) is a requirement for the course. We will follow the book “Learning Perl”. The course consists of lectures, computer assignments and practical computational exercises.

2017-09-11 - 2017-09-14, Course | Gothenburg

Training Schools on BioImage Analysis

NEUBIAS, the Network of European BioImage Analysts is delighted to announce two new Training Schools on BioImage Analysis: one for Early Career Investigators (life scientists) and one for Facility staff (imaging & analysis staff). Application deadline May 26.

2017-09-15 09:00 - 15:00, Course | Uppsala

Workshop on quantitative automated analysis of microscopy data using CellProfiler

The first half of the day will be focused on how to get started with automated analysis using CellProfiler, while the second part will focus on setting up pipelines for analysis of the participants’ own data.
To register, please e-mail: petter.ranefall@scilifelab.uu.se

2017-09-25 - 2017-09-29, Course | Lund

Introduction to Bioinformatics using NGS data, 2 hp

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.

2017-10-02 - 2017-10-04, Course | Uppsala

Single cell RNA sequencing data analysis, 1 hp

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.

2017-10-09 - 2017-09-13, Course | Uppsala

Python Programming with Application to Bioinformatics, 2 ECTS

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.

2017-10-23 - 2017-10-27, Course | Uppsala

R Programming Foundations for Life Scientists, 2 hp

The course is addressed to life scientists with little or moderate experience in programming but enthusiastic about learning how to use R to make their work smoother and easier.

2017-11-07 - 2017-11-09, Course | Uppsala

RNA-seq, 1 hp

This 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. An extensive case study in the computer lab will familiarize you with concepts of mapping, quality control of your RNA-seq data, de novo assembly, assembly using a reference, differential expression analysis and downstream enrichment analysis.

2017-11-15 - 2017-11-17, Course | Uppsala

De novo Genome Assembly, 1 hp

The course will cover assembly of both prokaryotes and eukaryotes (see our sister course in metagenomics for assembly of mixed/environmental samples) and spend a lot of time on learning how to run the analyses in hands-on computer exercises. Applicants will be taken through all steps of a genome assembly project, from the quality assessment of data, through assembly, to validation of assemblies.

2017-11-20 - 2017-11-22, Course | Uppsala

Metagenomics, 1 hp

During the three-day SciLifeLab metagenomics course, the participants will be brought up to date with the current state-of-the-art in the rapidly emerging field of environmental genomics, including metagenomics and single cell genomics. The course will focus on computational methods for assembly and functional annotation of environmental genomics data.

2017-11-27 - 2017-12-01, Course | Uppsala

Introduction to Bioinformatics using NGS data, 2 hp

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.