This full-day, hands-on workshop will introduce you to the key steps involved in analysing and visualising Bulk RNA-seq data. You will learn how RNA-seq data are generated, processed and interpreted, with a particular focus on preparing data for downstream analysis and identifying differentially expressed genes.

By the end of the course, you will have a clearer understanding of what Bulk RNA-seq can tell you, how raw sequencing data are transformed into interpretable results, and how to carry out core analysis steps in R. The workshop is designed to combine explanation with practical exercises, giving you the opportunity to work through an RNA-seq analysis workflow in a focused, supportive, in-person environment.

This course is for you if:

You already have basic knowledge of R programming language
You work in a biomedical field
You need to start using RNA-seq data
You want to gain a better understanding of what information you can obtain from RNA-seq data
You would like to learn how to carry out differential expression analysis for bulk data
You work best in a focused, in-person environment with live instructor support
Learning objectives:

Describe the main steps in a bulk RNA-seq analysis workflow
Understand how RNA-seq data are processed before downstream analysis
Explain how differentially expressed genes are identified
Perform a basic differential expression analysis in R
Read RNA-seq output files into R and work with gene-level data
Annotate and interpret features in an RNA-seq dataset
Create basic visualisations to explore and communicate RNA-seq results
Technology required: To participate in the course, you will need to be able to use RStudio on your computer or log into RStudio Cloud so you can work interactively in class.

Prerequisites: Working knowledge of the R programming language, knowledge of NGS sequencing and pre-processing such as from our online course.

Price: £100