training More information will follow Course leader: Manfred Grabherr, manfred.grabherr@scilifelab.se  Course content 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 Reference-guided RNA-Seq expression analysis Analysis techniques covered will focus mostly on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data. Entry requirements 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.