In this course, we will guide you through the core technology, data analysis approaches, tools, and resources used in RNA sequencing (RNA-seq) and transcriptomics. Our goal is to support you as you build a shared understanding of the field, whether your background is in biology, computer science, or data analysis. We will introduce the fundamental concepts behind transcriptomic workflows and help you gain confidence with basic command‑line analysis.

Together, we'll explore key public data repositories and outline the main methodologies that can help you begin the biological interpretation of gene expression data. Throughout the course, a mix of learning through lectures, practical exercises, and open discussions will create an environment where you can engage with the material from your own disciplinary perspective.

All computational work will use small example data sets so that you can focus on learning the concepts and workflows. Please note that there will be no opportunity to analyse personal data during the course.

Virtual course

You will learn via a mix of pre-recorded lectures, live presentations, and trainer Q&A sessions. Practical experience will be developed through group activities and trainer-led computational exercises. Live sessions will be delivered using Zoom with additional support and asynchronous communication via Slack.

Pre-recorded material may be provided before the course starts; participants will need to watch, read, or work through to gain the most out of the actual training event. In the week before the course there will be a brief induction session. Computational practicals will run on EMBL-EBI's virtual training infrastructure, so you will not require access to a powerful computer or install  software on your own machine.

You will need to be available between the hours of 09:00 – 17:30 UK time each day of the course. Trainers will be available to assist, answer questions, and provide further explanations to you during these times.