Enrichment Analysis

Overview

Experiments designed to quantify gene expression often yield hundreds of genes that exhibit statistically significant differences between groups of interest. After identifying differentially expressed genes, enrichment analysis (EA) methods can be used to explore the biological functions associated with them. These methods allow us to identify groups of genes (e.g., grouped into pathways) that are overrepresented, thereby offering insights into biological mechanisms. Gene Set Enrichment Analysis (GSEA) is one of the EA methods frequently used for high-throughput gene expression data analysis. This course will cover GSEA and alternative enrichment methods. Because GSEA implementation is directly linked to databases that annotate gene function in cells, the course will also provide an overview of functional annotation databases, such as Gene Ontology. All course materials are available on the GitHub course web page.

Audience

Biologists who are eager to perform functional annotation of a set of differentially expressed genes.

Learning outcomes

At the end of the course, participants will be able to:

• Distinguish available enrichment analysis method
• Apply overrepresentation and Gene Set Enrichment Analysis methods using R
• Determine whether the genes of a Gene Ontology term have a statistically significant difference in expression or not
• Learn where to find other gene sets in databases (e.g. KEGG, oncogenic gene sets) and use them in R

Prerequisites

Knowledge / Competencies

You should meet the learning outcomes of either First Steps with R in Life Sciences or Introduction to Statistics with R.

In case of doubt, evaluate your R skills with this quiz before registering.

Technical

This course will be streamed. You are thus required to have an internet connection and your own computer with the latest R and RStudio versions installed.

Application

Registration fees are 100 CHF for academics and 500 CHF for for-profit companies.

While participants are registered on a first come, first served basis, exceptions may be made to ensure diversity and equity, which may increase the time before your registration is confirmed.

Applications will close as soon as the places will be filled up. Deadline for free-of-charge cancellation is set to 20/11/2025. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Venue and Time

This course will be streamed.

The course will start at 9:00 CEST and end around 17:00 CEST.

Precise information will be provided to the participants in due time.

Additional information

Coordination: Grégoire Rossier, SIB Training Group.

We will recommend 0.25 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

Please note that participation in SIB courses is subject to our general conditions.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

For more information, please contact training@sib.swiss.