NGS: RNA-seq

Course Overview

  • Written by experts
  • Introductory
  • 100% online
  • Video content
  • Multiple choice quiz
  • Approx. 2 hours to complete
  • Completion certificate
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About this course

Innovation Scholars Pillar 2 Course Map:
Welcome to our NGS: RNA-seq course where you will gain a comprehensive understanding of how to analyse and visualise bulk RNA-seq data.

Before taking this course, it is important to understand the basics of NGS by taking the NGS: Introduction and pre-processing pipeline course.

This course is for you if

  • You have basic knowledge of R programming language which may have been obtain via our Pillar 2: Basic R with Data Carpentry course 
  • You work in a biomedical field
  • You require flexible learning format
  • You need to start using RNA-seq data
  • You want to gain a better understanding of what information you can get from RNA-seq data
  • You would like to learn how to carry out differential expression analysis for bulk data


Technology required

To participate in the course, you will need to be able to use RStudio on your computer or log into RStudio Cloud. This will enable you to complete the coding challenges and practice what you learn in the lectures. By the end of the course, you will have a better understanding of the uses of NGS technology and how to process raw data before downstream analyses.

All the example data required for the analysis is available for download and has already been processed using the NF-core RNAseq pipelines.

Learning objectives
  • Obtain a clear understanding of how RNA-seq data are analysed and visualised
  • Understand how differentially expressed genes are detected
  • Perform differential expression analysis test
  • Use R to read in NGS data and annotate features

Course authors and designers

 Dr. Alessandra Vigilante 

 Academic lead








Eva Hamrud   

PhD Developmental Biology







Dr. Alex Thiery

Post-doc Bioinformatics