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DTSTAMP:20260407T175000Z
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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 bisulphite-seq can reveal the inte
 rplay between chromatin accessibility\, gene expression\, histone modifica
 tions\, and DNA methylation. \n\nThis 3-day course focuses on the practica
 l application of R to integrate and visualise such multiomics data. Partic
 ipants will learn to process and combine these datasets\, create overlap m
 atrices to identify regions of co-occurrence\, perform functional analysis
  of results\, and master visualisation techniques to communicate complex f
 indings effectively. The course emphasizes hands-on exercises and a projec
 t-based approach\, enabling participants to directly apply these skills to
  their own research questions. Participants will work on group projects wi
 th published multiomics research data.\n\n## Audience\n\nThis course is de
 signed for PhD students\, postdoctoral and other researchers in the life s
 ciences from both academia and industry who wish to integrate\, analyse\, 
 interpret\, and visualise high throughput multiomics data using R.\n\n\n##
  Learning outcomes\n\nAt the end of the course\, the participants are expe
 cted to:\n\n* Explain the conceptual basis and necessary data structures f
 or integrating ATAC-seq\, RNA-seq\, ChIP-seq\, and bisulphite-seq.\n* Exec
 ute the full pipeline to import\, normalize\, and integrate pre-processed 
 multiomics data using R and Bioconductor packages.\n* Differentiate and co
 mpare the results obtained from functional analysis methods to identify ke
 y regulated regions.\n* Design and generate advanced visualisations\, for 
 example enriched heatmaps\, to effectively communicate the complex finding
 s of multiomics data integration.\n* Lead the analysis and biological inte
 rpretation of a multiomics dataset\, functioning as a culminating\, challe
 nging application of the entire workflow. \n\n\n## Prerequisites\n\n### Kn
 owledge / competencies\n\nYou should meet the learning outcomes of [First 
 Steps with R in Life Sciences](https://www.sib.swiss/training/course/FSWRR
 ).\n\nWhile this course is designed for beginners in multiomics data integ
 ration\, knowledge of fundamental biological concepts related to gene expr
 ession (RNA-seq)\, chromatin accessibility (ATAC-seq)\, histone modificati
 ons (ChIP-seq)\, and DNA methylation is highly recommended. Basic to inter
 mediate R programming skills are required as participants will be challeng
 ed with more coding and interpretation exercises. We recommend you can con
 fidently handle data manipulation and basic functions in R. **Test your R 
 skills [here](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MW
 HapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) before registering.**
 \n\n### Technical\n\nAttendees should have a Wi-Fi enabled computer. **An 
 online R and RStudio-server environment will be provided**. \n\nIn case yo
 u wish to perform the practical exercises on your own computer\, please ma
 ke sure that your laptop contain over 8GB of RAM\, and please take a momen
 t 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/pr
 oducts/rstudio/download/#download) version\, the free version is perfectly
  fine.\n\n\n## Application\n\nThe registration fees for academics are **CH
 F 300** and **CHF 1500** for for-profit companies. While participants are 
 registered on a first come\, first served basis\, exceptions may be made t
 o ensure diversity and equity\, which may increase the time before your re
 gistration is confirmed. \n\nYou will be informed by email of your registr
 ation confirmation. Upon reception of the confirmation email\, participant
 s will be asked to confirm attendance by paying the fees within 5 days.\n\
 nApplications close on **09/09/2026** or as soon as the places will be fil
 led up. Deadline for free-of-charge cancellation is set to **09/09/2026**.
  Cancellation after this date will not be reimbursed. Please note that par
 ticipation in SIB courses is subject to our [general conditions](https://w
 ww.sib.swiss/training/terms-and-conditions).\n\n## Venue and Time\n\nThis 
 course will take place in Bern.  \n\nIt will start at 9:15 and end around 
 17:15 every day. \n\nPrecise information will be provided to the participa
 nts in due time.\n\n\n## Additional information\n\nCoordination: Valeria D
 i Cola\, SIB Training Group.\n\nWe will recommend 0.75 ECTS credits for th
 is course (given a passed exam at the end of the course).\n\nYou are welco
 me to register to the SIB courses mailing list to be informed of all futur
 e courses and workshops\, as well as all important deadlines using the for
 m [here](https://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/)
 .\n\nPlease note that participation in SIB courses is subject to our [gene
 ral conditions](https://www.sib.swiss/training/terms-and-conditions).\n\nS
 IB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events
 /code-of-conduct). Participants of SIB courses are also required to abide 
 by the same code.\n\nFor more information\, please contact [training@sib.s
 wiss](mailto:training@sib.swiss).
SUMMARY:Biology-informed Integration and Visualisation of Multiomics Data
URL;VALUE=URI:https://www.sib.swiss/training/course/20260923_BIVMD
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