BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260709T063336Z UID:ad5e7608-f8ce-49ca-b15c-3a29b5d971d0 DTSTART:20220317T090000Z DTEND:20220317T170000Z DESCRIPTION:**The course is now full with a long waiting list. If you do no t want to miss your chance to be part of the next session and remain infor med about all training activities at SIB\, we highly recommend you to keep an eye on our list of upcoming events (https://www.sib.swiss/training/upc oming-training-courses) and subscribe to our courses mailing list here (if not yet done): https://lists.sib.swiss/mailman/listinfo/courses. Thank yo u for your understanding.**\n\n# Overview\nExperiments designed to quantif y gene expression often yield hundreds of genes that show statistically si gnificant differences between two classes (two biological states\, two phe notype states\, two experimental conditions\, etc). Once differentially ex pressed genes are identified\, enrichment analysis (EA) methods can be con ducted to identify groups of genes (e.g. particular pathways) that are dif ferentially expressed\, and offer insights into biological mechanisms. One example of such a method is the Gene Set Enrichment Analysis (GSEA)\, whi ch is very popular and frequently used for high-throughput gene expression data analysis.\n\nThis course will cover GSEA and alternative enrichment tools. Since most of their implementations are directly linked to database s that annotate the function of genes in the cell\, the course will also i ntroduce GO enrichment analysis.\n\n\n# Audience\nBiologists eager to iden tify a statistically reliable set of genes that are differentially express ed.\n\n# Learning objectives\nAt the end of the course\, the participants will be able to:\n* identify statistical methods that could be used to pi npoint differentially expressed genes quantified by methods such as microa rrays or RNA sequencing\n* determine whether a set of genes shows statist ically significant differences between two classes or not\n* distinguish available enrichment analysis methods\n* apply GSEA using R\n* apply enr ichment analysis implementations using R\n* determine whether the genes o f a GO term have a statistically significant difference in expression or n ot\n* learn where to find other gene sets in databases (e.g. KEGG\, oncog enic gene sets) and use them in R. \n\n\n# Prerequisites\n*Knowledge / C ompetencies*\n* statistics beginner level (T-test\, multiple testing metho ds). \n* R beginner level (Rstudio\, install a library\, matrix manipulati on\, read files). [Test your R skills with the quiz here\, before register ing.](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu 20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) \n\n\n*Technical*\n* This cou rse will be streamed\, you are thus required to have your own computer wit h an internet connection\, and with latest [R](https://www.r-project.org/) and [RStudio](https://www.rstudio.com/products/rstudio/download/) version s installed. An online access to R will also be provided for the practical exercises. \n\n# Application\n\nRegistration fees for academics are **60 CHF** for academics and **300 CHF** for for-profit companies. While partic ipants are registered on a first come\, first served basis\, exceptions ma y be made to ensure diversity and equity\, which may increase the time bef ore your registration is confirmed.\n\nYou will be informed by email of yo ur registration confirmation. Upon reception of the confirmation email\, p articipants will be asked to confirm attendance by paying the fees within 5 days.\n\nApplications will close once the places are filled. Deadline fo r registration and free-of-charge cancellation is set to **03/03/2022**. C ancellation after this date will not be reimbursed. Please note that parti cipation in SIB courses is subject to our [general conditions](https://www .sib.swiss/training/terms-and-conditions).\n\n # Venue and Time\nThis cour se will be streamed. \n\nThe course will start at 9:00 and end around 17: 00. Precise information will be provided to the participants on due time.\ n# Additional information\nCoordination: Patricia Palagi\, SIB training g roup.\n\nWe will recommend 0.25 ECTS credits for this course (given a pass ed exam at the end of the course).\n\nYou are welcome to register to the S IB 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\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Participants o f SIB courses are also required to abide by the same code.\n\nFor more inf ormation\, please contact [training@sib.swiss](mailto:training@sib.swiss). LOCATION:SIB SUMMARY:Enrichment Analysis URL;VALUE=URI:https://www.sib.swiss/training/course/20220317_ENRIC END:VEVENT END:VCALENDAR