BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260527T085052Z
UID:d886f4ca-df82-48a5-898d-0a89e584ba12
DTSTART:20260923T090000Z
DTEND:20260925T170000Z
DESCRIPTION:## Overview\n\nIntegrating multiple omics datasets allows resea
 rchers to gain a holistic view of biological systems. For example\, combin
 ing ATAC-seq\, RNA-seq\, ChIP-seq\, and Bisulfite-seq can reveal the inter
 play between chromatin accessibility\, gene expression\, histone modificat
 ions\, and DNA methylation.\n\nThis 2-day course focuses on the practical 
 application of R for integrating and visualizing such multi-omics data. Pa
 rticipants will learn to process and combine these datasets\, create overl
 ap matrices to identify regions of co-occurrence\, perform functional anal
 ysis of results\, and master visualization techniques to communicate compl
 ex findings effectively. The course emphasizes hands-on exercises and a pr
 oject-based approach\, enabling participants to directly apply these skill
 s to their own research questions.\n\n## Audience\n\nThis course is design
 ed for PhD students\, postdoctoral and other researchers in the life scien
 ces from both academia and industry who are seeking to understand and visu
 alize multi-omics data\, aiming to integrate and interpret high-throughput
  biological data using R.\n\n\n## Learning outcomes\n\nAt the end of the c
 ourse\, the participants are expected to:\n\n- Import and integrate pre-pr
 ocessed ATAC-seq\, RNA-seq\, ChIP-seq\, and Bisulfite-seq data using R and
  Bioconductor packages.\n- Generate and interpret overlap matrices to iden
 tify regions of co-occurrence and regulation.\n- Perform functional analys
 is of the results.\n- Create informative and visually appealing plots to r
 epresent multi-omics data.\n\n## Prerequisites\n\n### Knowledge / competen
 cies\n\nYou should meet the learning outcomes of [First Steps with R in Li
 fe Sciences](https://www.sib.swiss/training/course/20251013_FSWR).\n\nThis
  course is designed for beginners in multi-omics analysis\, thus no requir
 ement for prior experience in multi-omics analysis is needed. **A basic un
 derstanding of R programming** and fundamental biological concepts related
  to gene expression and epigenetics is highly recommended. Please evaluate
  your R skills [here](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_Z
 OWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) before regist
 ering.\n\n### Technical\n\nAttendees should have a Wi-Fi enabled computer.
  **An online R and RStudio-server environment will be provided**. \n\nIn c
 ase you wish to perform the practical exercises on your own computer\, ple
 ase make sure that your laptop contain over 8GB of RAM\, and please take a
  moment to install the following before the course:\n\n- [R version](https
 ://www.r-project.org/) &gt\; 4.2.\n- Latest [RStudio](https://www.rstudio.
 com/products/rstudio/download/#download) version\, the free version is per
 fectly fine.\n\n\n## Application\n\nThe registration fees for academics ar
 e **CHF 200** and **CHF 1000** for for-profit companies. While participant
 s are registered on a first come\, first served basis\, exceptions may be 
 made to ensure diversity and equity\, which may increase the time before y
 our registration is confirmed. \n\nYou will be informed by email of your r
 egistration confirmation. Upon reception of the confirmation email\, parti
 cipants will be asked to confirm attendance by paying the fees within 5 da
 ys.\n\nApplications close on *09/09/2026* or as soon as the places will be
  filled up. Deadline for free-of-charge cancellation is set to *09/09/2026
 *. Cancellation after this date will not be reimbursed. Please note that p
 articipation in SIB courses is subject to our [general conditions](https:/
 /www.sib.swiss/training/terms-and-conditions).\n\n## Venue and Time\n\nThe
  course will take at the University of Bern. \n\nThe course will start at 
 9:15 and end around 17:15. \n\nPrecise information will be provided to the
  participants in due time.\n\n\n## Additional information\n\nCoordination:
  Valeria Di Cola\, SIB Training Group.\n\nWe will recommend 0.5 ECTS credi
 ts for this course (given a passed exam at the end of the course).\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 important deadlines usin
 g the form [here](https://lists.sib.swiss/postorius/lists/courses.lists.si
 b.swiss/).\n\nPlease note that participation in SIB courses is subject to 
 our [general conditions](https://www.sib.swiss/training/terms-and-conditio
 ns).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.o
 rg/events/code-of-conduct). Participants of SIB courses are also required 
 to abide by the same code.\n\nFor more information\, please contact [train
 ing@sib.swiss](mailto:training@sib.swiss).
SUMMARY:Biology-informed Multiomics Data Integration and Visualization
URL;VALUE=URI:https://www.sib.swiss/training/course/20260923_BIMVZ
END:VEVENT
END:VCALENDAR