RNA-seq data analysis ONLINE

November 15, 2021 November 19, 2021

RNA-seq data analysis ONLINE

November 15 @ 08:00 November 19 @ 17:00 CET

This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of  online lectures and computer practicals. The workshop will be held online.

Important dates

Application open: August 27, 2021
Application deadline: October 15, 2021

Responsible teacher/s

Johan Reimegård, Julie Lorent

Contact information for questions regarding the course


Course fee

This online workshop has no fee. However, if you accept a position and do not participate you will be invoiced* 1300 kr

*Please note that NBIS cannot invoice individuals

Course content

Topics covered will include:

  • RNA seq introduction
  • RNA seq read mapping programs
  • RNA seq QC analysis
  • Differential expression analysis
  • Gene set enrichment analysis

More details about the course can be found at the previous year’s webpage

The course will follow similar structure and topics. 

Entry requirements

Required for being able to follow the course and complete the computer exercises:

  • Basic knowledge in Linux and R
  • Steady and fast internet connection to be able to follow the workshop.
  • Your own laptop with the following specs:
    • At least 6 GB of RAM. 
    • Operating system Win10, OS X or Linux
    • At least 30 GB of free storage


  • Experience working with NGS data analysis or completed the NBIS workshop “Introduction to Bioinformatics using NGS data”
  • Experience working in R or completed the NBIS course “R Programming Foundations for Life Scientists”

Due to our best practise to have a high teacher to student ratio we have set the number of participants to a maximum of 20 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.

Last updated: 2021-07-06

Content Responsible: Maria Bäckström(maria.backstrom@scilifelab.uu.se)