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DTSTAMP:20260715T174059Z
UID:7aab5c8c-7afd-4bf6-815a-2bc8fde5cf8d
DTSTART:20231201T090000Z
DTEND:20231201T170000Z
DESCRIPTION:# Overview\nExperiments designed to quantify gene expression of
 ten yield hundreds of genes that show statistically significant difference
 s between groups of interest. Once differentially expressed genes are iden
 tified\, enrichment analysis (EA) methods can be used to explore the biolo
 gical functions associated with these genes. EA methods allow us to identi
 fy groups of genes (e.g. particular pathways) that are over-represented\, 
 thereby offering insights into biological mechanisms. One of the EA method
 s frequently used for high-throughput gene expression data analysis is Gen
 e Set Enrichment Analysis (GSEA). This course will cover GSEA and alternat
 ive enrichment methods. Because the implementation of GSEA is directly lin
 ked to databases that annotate the function of genes in a cell\, the cours
 e will also give an overview of functional annotation databases such as Ge
 ne Ontology. All course material can be found on the [GitHub course web pa
 ge](https://sib-swiss.github.io/enrichment-analysis-training/).\n\n\n# Aud
 ience\nBiologists who are eager to perform functional annotation of a set 
 of differentially expressed genes.\n\n# Learning objectives\nAt the end of
  the course\, participants will be able to:\n*  Distinguish available enri
 chment analysis methods.\n*  Apply GSEA and over-representation analysis u
 sing R.\n*  Determine whether the genes of a GO term have a statistically 
 significant difference in expression or not.\n*  Learn where to find other
  gene sets in databases (e.g. KEGG\, oncogenic gene sets) and use them in 
 R.\n\n\n# Prerequisites\n***Knowledge / Competencies***\n* Statistics\, be
 ginner level (T-test\, multiple testing methods). \n* R\, beginner level (
 Rstudio\, how to install a library\, matrix and data frame manipulation\, 
 import and export data from text files). [Test your R skills with the quiz
  here\, before registering.](https://docs.google.com/forms/d/e/1FAIpQLSdIy
 euabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) \n\n**
 *Technical***\n* This course will be streamed. You are thus required to ha
 ve an internet connection and your own computer with the latest [R](https:
 //www.r-project.org/) and [RStudio](https://www.rstudio.com/products/rstud
 io/download/) versions installed.\n\n# Application\n\n\nRegistration fees 
 are **100 CHF** for academics and **500 CHF** for for-profit companies. Wh
 ile participants are registered on a first come\, first served basis\, exc
 eptions may be made to ensure diversity and equity\, which may increase th
 e time before your registration is confirmed.\n\nApplications will close a
 s soon as the places will be filled up. Deadline for free-of-charge cancel
 lation is set to **24/11/2023**. Cancellation after this date will not be 
 reimbursed. Please note that participation to SIB courses is subject to ou
 r [general conditions](https://www.sib.swiss/training/terms-and-conditions
 ).\n\nYou will be informed by email of your registration confirmation. Upo
 n reception of the confirmation email\, participants will be asked to conf
 irm attendance by paying the fees within 5 days.\n\n # Venue and Time\nThi
 s course will be streamed.  \n\nThe course will start at 9:00 CET and end 
 around 17:00 CET.\n\nPrecise information will be provided to the participa
 nts on due time.\n#  Additional information\nCoordination: Monique Zahn\, 
 SIB Training Group.\n\nWe will recommend 0.25 ECTS credits for this course
  (given a passed exam at the end of the course).\n\nYou are welcome to reg
 ister 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](
 https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that par
 ticipation in SIB courses is subject to our [general conditions](https://w
 ww.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR 
 Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Partic
 ipants of SIB courses are also required to abide by the same code.\n\n\nFo
 r more information\, please contact [training@sib.swiss](mailto:training@s
 ib.swiss).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20231201_ENRIC
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