RNA sequencing (RNA-seq) is a widely used method for studying gene expression and understanding how cells respond to different conditions. While generating RNA-seq data has become routine, the real challenge lies in analysing it properly, making informed decisions at each step so that the biological conclusions are robust and meaningful. The process involves several steps, including quality control, read mapping, quantification, normalisation, and differential expression testing. Decisions made during these steps can strongly influence the final results, making a clear and reproducible workflow essential for drawing reliable biological conclusions.

In this course, you will learn how to perform a complete RNA-seq analysis workflow using Galaxy, an open-source platform that provides access to thousands of bioinformatics tools through an intuitive graphical interface. Starting with raw sequencing data, you will work through the key stages of RNA-seq analysis and learn not only how to run the tools but also why each step matters. By the end of the course, you will have a structured approach that you can confidently apply to your own RNA-seq projects.