A practical introduction to bioinformatics and RNA-seq using Galaxy (BioNT)

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.

Learning outcomes:

• Get to know the Galaxy platform.
• Understand and create a typical workflow for RNA-seq, from data import to visualization of the output.
• Understanding different bioinformatic data formats.

Target audience:

• Interested in learning how to analyse transcriptomic data.
• Interested in learning how to use Galaxy for data analysis.
• Working in the field of Bioinformatics or biological data analysis or if you aspire to do so.
• Not experienced yet: this course is designed to guide you step-by-step!

Requirements

• A PC/Laptop with an up-to-date browser Chrome, Safari and Firefox browsers are all supported (older browsers such as Internet Explorer version 9, may not work).
• You will need a PC/Laptop with Admin permissions. If you do not have these permissions, please be aware that you will need to contact your IT department.
• Ideally a two-screen setup so you can follow the workshop while trying on your own.

Register a Galaxy EU account before the workshop

• European Galaxy Server
• Verify the confirmation email!
• If you have any problem please contact: contact@usegalaxy.eu

Install the genome browser IGV if you would like to inspect your data outside Galaxy.