Bulk RNA-seq analysis (IN-PERSON)

Dates: Wed 25, Thu 26, Fri 27 March 2026

Time: 09:30 - 17:30

Location: Research Informatics Training Room, Craik-Marshall Building

The training room is located on the first floor and there is currently no wheelchair or level access.

In this course you will acquire practical skills in RNA-seq data analysis. You will learn about quality control, alignment, and quantification of gene expression against a reference transcriptome. Additionally, you will learn to conduct downstream analysis in R, exploring techniques like PCA and clustering for exploratory analysis. The course also covers differential expression analysis using the DESeq2 R/Bioconductor package. Furthermore, the course covers how to generate visualisations like heatmaps and performing gene set testing to link differential genes with established biological functions or pathways.

Research Informatics Training Team Email

• Everyone is welcome to attend the courses.

Essential

• Basic understanding of high-throughput sequencing technologies.
  • Watch this iBiology video for an excellent overview.
• A working knowledge of the UNIX command line.
  • If you are not able to attend our prerequisite course, please work through our Unix command line materials ahead of the course (up to section 7).
• A working knowledge of R.
  • If you are not able to attend our prerequisite course, please work through our R materials ahead of the course.

Desirable

• A working knowledge of running analysis on High Performance Computing (HPC) clusters.

Fees must be paid at registration. 

Free for registered University of Cambridge students
£ 65/full day for all University of Cambridge staff, including postdocs. 
£ 65/full day for all academic participants from external Institutions and charitable organizations.
£ 130/full day for all Industry participants.

For further information about the courses, please email the Research Informatics Training Team.