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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.

2017-02-20 - 2017-02-24, Course | Umeå

Assay development in high throughput screening, 2 ECTS

The registration deadline has passed.
The course gives a practical basis for assay development in high throughput screening. The course is given as a practical complement to the course “Introduction to high throughput screening”. High throughput screening (HTS) is a technique used to identify biologically active small organic molecules through screening of compound libraries with the help of robust test systems and advanced instrumentation.

2017-03-13 - 2017-03-15, Course | Uppsala

RNA-seq, 1 hp

The registration deadline has passed.
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.

2017-03-27 - 2017-03-31, Course | Uppsala

R Programming Foundations for Life Scientists, 2 hp

The registration deadline has passed.
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.

2017-03-27 - 2017-03-29, Course | Linköping Umeå Ljubljana and online

Unix/Linux Tutorial for Beginners, 1 hp

The course is addressed to life scientists with no or very little experience in using Linux commands but enthusiastic about learning how to use them for simplifying their work and improving their efficiency. Participants are assigned on a first come, first served basis.

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

Introduction to Genome Annotation, 1 hp

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.