|01 Dec 2023||Streamed|
Experiments designed to quantify gene expression often yield hundreds of genes that show statistically significant differences between groups of interest. Once differentially expressed genes are identified, enrichment analysis (EA) methods can be used to explore the biological functions associated with these genes. EA methods allow us to identify groups of genes (e.g. particular pathways) that are over-represented, thereby offering insights into biological mechanisms. One of the EA methods frequently used for high-throughput gene expression data analysis is Gene Set Enrichment Analysis (GSEA). This course will cover GSEA and alternative enrichment methods. Because the implementation of GSEA is directly linked to databases that annotate the function of genes in a cell, the course will also give an overview of functional annotation databases such as Gene Ontology. All course material can be found on the GitHub course web page.
Biologists eager to identify a statistically reliable set of genes that are differentially expressed.
At the end of the course, participants will be able to:
Knowledge / Competencies
Registration fees are 60 CHF for academics and 300 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 09/06/2023. 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.
This course will be streamed.
The course will start at 9:00 CET and end around 17:00 CET.
Precise information will be provided to the participants on due time.
Coordination: Patricia Palagi, 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.
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