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DTSTAMP:20260708T220912Z
UID:822071df-80b2-4df6-a90c-4457aa2d9f2f
DTSTART:20240628T090000Z
DTEND:20240628T170000Z
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 have
  an internet connection and your own computer with the latest [R](https://
 www.r-project.org/) and [RStudio](https://www.rstudio.com/products/rstudio
 /download/) versions installed.\n\n# Application\n\n\nRegistration fees ar
 e **100 CHF** for academics and **500 CHF** for for-profit companies. \n\n
 While participants are registered on a first come\, first served basis\, e
 xceptions may be made to ensure diversity and equity\, which may increase 
 the time before your registration is confirmed.\n\nApplications will close
  as soon as the places will be filled up\, until **07/06/2024**. Deadline 
 for free-of-charge cancellation is set to **14/06/2024**. Cancellation aft
 er this date will not be reimbursed. \n\nYou 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 withi
 n 5 days.\n\n # Venue and Time\nThis course will be streamed.  \n\nThe cou
 rse will start at 9:00 CEST and end around 17:00 CEST.\n\nPrecise informat
 ion will be provided to the participants on due time.\n\n#  Additional inf
 ormation\nCoordination: Diana Marek\, SIB Training Group.\n\nWe will recom
 mend 0.25 ECTS credits for this course (given a passed exam at the end of 
 the course).\n\nYou are welcome to register to the SIB courses mailing lis
 t to be informed of all future courses and workshops\, as well as all impo
 rtant deadlines using the form [here](https://lists.sib.swiss/mailman/list
 info/courses).\n\nPlease note that participation in SIB courses is subject
  to our [general conditions](https://www.sib.swiss/training/terms-and-cond
 itions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-euro
 pe.org/events/code-of-conduct). Participants of SIB courses are also requi
 red to abide by the same code.\n\nFor more information\, please contact [t
 raining@sib.swiss](mailto:training@sib.swiss).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20240628_ENRIC
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