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DTSTAMP:20260715T201146Z
UID:45727735-8b7a-4f42-8833-48c87ff5b277
DTSTART:20261127T090000Z
DTEND:20261127T170000Z
DESCRIPTION:## Overview\n\nExperiments designed to quantify gene expression
  often yield hundreds of genes that exhibit statistically significant diff
 erences between groups of interest. After identifying differentially expre
 ssed genes\, enrichment analysis (EA) methods can be used to explore the b
 iological functions associated with them. These methods allow us to identi
 fy groups of genes (e.g.\, grouped into pathways) that are overrepresented
 \, thereby offering insights into biological mechanisms. Gene Set Enrichme
 nt Analysis (GSEA) is one of the EA methods frequently used for high-throu
 ghput gene expression data analysis. This course will cover GSEA and alter
 native enrichment methods. Because GSEA implementation is directly linked 
 to databases that annotate gene function in cells\, the course will also p
 rovide an overview of functional annotation databases\, such as Gene Ontol
 ogy. All course materials are available on the [GitHub course web page](ht
 tps://sib-swiss.github.io/enrichment-analysis-training/).\n\n## Audience\n
 \nThis course is designed for PhD students\, postdoctoral and other resear
 chers in the life sciences from both academia and industry who are eager t
 o perform functional annotation of a set of differentially expressed genes
 .\n\n## Learning outcomes\n\nAt the end of the course\, the participants s
 hould be able to:\n\n* **Distinguish** available enrichment analysis metho
 d\n* **Apply** overrepresentation and Gene Set Enrichment Analysis methods
  using R\n* **Determine** whether the genes of a Gene Ontology term have a
  statistically significant difference in expression or not\n* **Find** gen
 e sets in databases (e.g. KEGG\, oncogenic gene sets) and use them in R\n\
 n## Prerequisites\n\n### Knowledge / competencies\n\nThis course is part o
 f the [Omics Data Analysis](https://www.sib.swiss/training/learning-paths?
 path=omics-data-analysis) learning path. To get the most out of this cours
 e\, you should meet the learning outcomes of [First Steps with R in Life S
 ciences](https://www.sib.swiss/training/course/FSWRR) or [Introduction to 
 Statistics and Data Visualisation with R](https://www.sib.swiss/training/c
 ourse/STATR) courses.\n\nIn case of doubt\, evaluate your R skills [here](
 https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ES
 kLDZiWnpmkpujyOg/viewform?usp=sf_link).\n\n### Technical\n\nYou are requir
 ed to have an internet connection and your own computer with the latest [R
 ](https://www.r-project.org/) and [RStudio](https://www.rstudio.com/produc
 ts/rstudio/download/) versions installed.\n\n## Schedule – CE(S)T time z
 one\n\n## Application\n\nThe registration fees for academics are **100 CHF
 ** and **500 CHF** for for-profit companies.\n\nWhile participants are reg
 istered on a first come\, first served basis\, exceptions may be made to e
 nsure diversity and equity\, which may increase the time before your regis
 tration is confirmed.\n\nApplications will close on **12/11/2026** or as s
 oon as the places will be filled up. Cancellation after **12/11/2026** wil
 l not be reimbursed. Please note that participation in SIB courses is subj
 ect to our [general conditions](https://www.sib.swiss/legal-documents).\n\
 nYou will be informed by email of your registration confirmation. Upon rec
 eption of the confirmation email\, participants will be asked to confirm a
 ttendance by paying the fees within **5 working days**.\n\n## Venue and Ti
 me\n\nThis course will be streamed.\n\nThe course will start at 9:00 CET a
 nd end around 17:00 CET.\n\nPrecise information will be provided to the re
 gistered participants in due time.\n\n## Additional information\n\nCoordin
 ation: Diana Marek\, SIB Training group.\n\nA **Certificate of Attendance*
 * will be sent provided you were present at the course\, whereas a **Certi
 ficate of Achievement** recommending 0.25 ECTS will be sent provided you p
 assed the exam.\n\nYou are welcome to register to the SIB courses mailing 
 list to be informed of all future courses and workshops\, as well as all i
 mportant deadlines using the form [here](https://lists.sib.swiss/mailman/l
 istinfo/courses).\n\nSIB abides by the [ELIXIR Code of Conduct](https://el
 ixir-europe.org/events/code-of-conduct). Participants of SIB courses are a
 lso required to abide by the same code.\n\nFor more information\, please c
 ontact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20261127_ENRIC
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