In this course, we will guide you through the core technology, data analysis approaches, tools, and resources used in RNA sequencing 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 shall 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.

'Introduction to RNA-seq and functional interpretation 2027' is currently in development. Sign up for alerts to hear as this course develops.