Introduction to Bioinformatics using NGS data, 2 hp
National course open for PhD students, postdocs, researchers and other employees in need of bioinformatics skills within all Swedish universities.
Application open: December 16
Application deadline: February 29
Confirmation to accepted students: March 7
Responsible teachers: Manfred Grabherr
If you don’t receive information according to the dates above, contact email@example.com
A workshop fee of 1800 SEK will be invoiced to accepted participants (includes the study material, coffee, lunches and course dinner). NOTE – Uppsala University cannot invoice individuals.
In collaboration with BILS, SciLIfeLab will organize the course Introduction to Bioinformatics using NGS data. 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.
Topics covered will include:
- Basic Linux usage
- NGS read-to-reference alignment (genomic and RNA-Seq)
- Variant calling in populations
- De novo assembly of RNA-sequence data
- RNA-Seq expression analysis
- ChIP-seq analysis
A background in genetics, cell biology, biomedicine, biochemistry, bioinformatics or comparable is desirable
To get the maximum benefit from the course we would like you to:
- Have relevant previous experience in sequencing or analysis
- Have a research project where you are currently using next generation sequencing or are planning to use next generation sequencing
- Be able to bring your own laptop for the practical computational exercises
- It is beneficial if you are directly performing analyses or if you have a support role and will be able to participate in a wide range of projects and transfer your knowledge to others
- Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.