Computational Methods for Massively Parallel Sequencing November 19-23, 2012, Umeå


This course will provide an introduction to a wide range of analytical techniques for massively parallel sequencing. 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:

  • alignment of reads to a reference
  • variation detection
  • RNA-Seq alignment and expression analysis
  • ChIP-Seq alignment and enrichment analysis
  • de novo assembly of both genome and transcriptome data

Analysis techniques covered will focus mostly on data from the Illumina and SOLiD platforms, but we will discuss other sequencing platforms and the advantages and challenges to using their data.

Target group

The course is open for PhD students, postdocs, researchers, and other employees in need of bioinformatic skills within all Swedish universities.

A background in genetics, cell biology, biomedicine, biochemistry, bioinformatics or comparable is desirable. Familiarity with basic linux command line will be beneficial but not expected; no programming knowledge is required.

To get the maximum benefit from the course we would like you to have
– Relevant previous experience in sequencing or analysis
– A current research project where you are currently using next generation sequencing or are planning to use next generation sequencing.

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

Organizing committee

Manfred Grabherr, Martin Dahlö, Elina Hjertström, Jeanette Tångrot, Ulf Gyllensten

Course Information

National Course. The course is open for PhD students, postdocs, researchers, and other employees in need of bioinformatic skills within all Swedish universities

Limit: 20 participants

Note! Important dates!

October 22nd
Application deadline

October 23rd
You will receive a confirmation that we have received your application.

October 25th
You will receive an email stating that you have been accepted to the course or an email stating that you have not been accepted to the course

If you don’t receive information according to the dates above, contact: elina.hjertstrom@scilifelab.uu.se