BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260717T123616Z UID:f73d1ea4-a978-4751-9495-d14e7a1385f0 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 practical application of `R` to integrate and visualise such multiomics data. Parti cipants will learn to import and combine pre-processed datasets\, create o verlap matrices to identify regions of co-occurrence\, perform functional analysis of results\, and master visualisation techniques to communicate c omplex findings effectively. Throughout\, the emphasis is on *why* each st ep matters and *what biological questions* it answers. The course emphasiz es hands-on exercises and a project-based approach\, enabling participants to directly apply these skills to their own research questions. Participa nts will work on group projects with published multiomics research data.\n \n>\; **Please note:** this course starts from pre-processed data (e.g. count matrices and peak calls). It does not cover data pre-processing hand s-on\, that is\, the steps from raw reads to counts/peaks (quality control \, alignment\, and peak calling).\n\n## Audience\n\nThis course is designe d for PhD students\, postdoctoral and other researchers in the life scienc es from both academia and industry who wish to integrate\, analyse\, inter pret\, and visualise high throughput multiomics data using `R`.\n\n\n## Le arning outcomes\n\nAt the end of the course\, the participants are expecte d to:\n\n- **Explain** the conceptual basis and necessary data structures for integrating ATAC-seq\, RNA-seq\, ChIP-seq\, and bisulphite-seq.\n\n- * *Execute** the full pipeline to import\, normalize\, and integrate pre-pro cessed multiomics data using `R` and [Bioconductor](https://www.bioconduct or.org) packages.\n\n- **Differentiate** and **compare** the results obtai ned from functional analysis methods to identify key regulated regions.\n\ n- **Design** and **develop** advanced visualisations\, for example enrich ed heatmaps\, to effectively communicate the complex findings of multiomic s data integration.\n\n- **Lead** the analysis and biological interpretati on of a multiomics dataset\, functioning as a culminating\, challenging ap plication of the entire workflow.\n\n\n## Prerequisites\n\n\n### Knowledge / competencies\n\nThis course is designed for beginners in multiomics dat a integration\, but it assumes familiarity with the underlying molecular b iology and a working level of `R`.\n\nThis course is part of the SIB [**Om ics Data Analysis**](https://www.sib.swiss/training/learning-paths?path=om ics-data-analysis) learning path. To get the most out of this course\, you should meet the learning outcomes of [First Steps with R in Life Sciences ](https://www.sib.swiss/training/course/FSWRR).\n \n\n### Technical \n\n## ## Biology\nWhile this course is designed for beginners in multiomics data integration\, knowledge of fundamental biological concepts related to gen e expression (RNA-seq)\, chromatin accessibility (ATAC-seq)\, histone modi fications (ChIP-seq)\, and DNA methylation is highly recommended. Particip ants are encouraged to refresh these concepts beforehand\; preparatory rea ding materials can be provided to registered attendees upon request.\n\n## ## `R` programming\nBasic to intermediate `R` skills are required\, as par ticipants will be challenged with coding and interpretation exercises. You should be able to confidently handle data manipulation and basic function s in `R`. **Test your `R` skills [here](https://docs.google.com/forms/d/e/ 1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_l ink) 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 you wish to perform the practical exercises on your own computer\, please make sure that your laptop contain over 16 GB o f RAM\, and please take a moment to install the following before the cours e:\n\n- `R` version `>\; 4.6`.\n\n- Latest [RStudio](https://www.r-proje ct.org/) version\, the free version is perfectly fine.\n\n- Specific packa ges to be installed information will be provided to registered participant s.\n\n\n## Application\n\nThe registration fees for academics are **CHF 30 0** and **CHF 1500** for for-profit companies. While participants are regi stered on a first come\, first served basis\, exceptions may be made to en sure diversity and equity\, which may increase the time before your regist ration is confirmed. \n\nYou will be informed by email of your registratio n confirmation. Upon reception of the confirmation email\, participants wi ll be asked to confirm attendance by paying the fees within 5 days.\n\nApp lications 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**. Can cellation after this date will not be reimbursed. Please note that partici pation in SIB courses is subject to our [general conditions](https://www.s ib.swiss/training/terms-and-conditions).\n\n## Venue and Time\n\nThis cour se will take place in Bern. \n\nIt will start at 9:15 and end around 17:1 5 every day. \n\nPrecise information will be provided to the participants in due time.\n\n\n## Additional information\n\nCoordination: Valeria Di Co la\, SIB Training Group.\n\nA **Certificate of Attendance** will be sent p rovided you were present at the course\, whereas a **Certificate of Achiev ement** recommending 0.75 ECTS will be sent provided you passed the exam.\ n\nYou are welcome to register to the SIB courses mailing list to be infor med of all future courses and workshops\, as well as all important deadlin es using the form [here](https://lists.sib.swiss/postorius/lists/courses.l ists.sib.swiss/).\n\nPlease note that participation in SIB courses is subj ect to our [general conditions](https://www.sib.swiss/training/terms-and-c onditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-e urope.org/events/code-of-conduct). Participants of SIB courses are also re quired to abide by the same code.\n\nFor more information\, please contact [training@sib.swiss](mailto:training@sib.swiss). SUMMARY:Biology-informed Integration and Visualisation of Multiomics Data URL;VALUE=URI:https://www.sib.swiss/training/course/20260923_BIVMD END:VEVENT END:VCALENDAR