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.


2017-02-06 - 2017-05-30, Course | Internet

Introduction to high throughput screening, 2 ECTS

The 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.

2017-05-09 - 2017-05-11, Course | Uppsala

Introduction to Genome Annotation, 1 hp

The official deadline has passed, but late applications may be submitted by email.

The focus of the 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. We will also infer the function of these genes using similarity to known proteins as well as the presence of functional domains.

2017-05-15 - 2017-05-19, Course | Göteborg

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.

2017-05-16 - 2017-05-19, Course | Göteborg

Quick and clean: advanced Python for data science in biology

This advanced Python course is targeted towards senior researchers or other professionals in biology, biochemistry and bioinformatics, with some prior programming experience and a urgent need for Python in their research. The three days of advanced Python will give you confidence in your abilities and hitch you higher on the learning curve.

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.

2017-09-25 - 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.

2017-10-23 - 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.