BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260407T181333Z UID:5a02598b-957f-4cdd-af80-cd201bee4368 DTSTART:20260616T090000Z DTEND:20260618T170000Z DESCRIPTION:# Overview\n\nSingle-cell RNA sequencing (scRNAseq) allows rese archers to study gene expression at the single cell level. For example\, s cRNAseq can help to identify expression patterns that differ between condi tions within a cell type. To generate and analyze scRNAseq data\, several methods are available\, all with their strengths and weaknesses depending on the researchers’ needs.\n\nThis 3-day course will cover the main tech nologies as well as the main aspects to consider while designing a scRNAse q experiment. In addition\, it will cover the theoretical background of an alysis methods with hands-on practical data analysis sessions applied to d roplet-based methods.\n\n# Audience\nThis course is designed for PhD stude nts\, postdoctoral and other researchers in the life sciences from both ac ademia and industry who are familiar with next-generation sequencing (NGS) and want to acquire the necessary skills to analyse scRNA-seq gene expres sion data.\n\n# Learning outcomes\n\nAt the end of the course\, the partic ipants are expected to:\n\n* Distinguish advantages and pitfalls of scRNA- seq\, including its applications in experimental design.\n* Design their o wn scRNA-seq experiment\, by using common technologies like 10X Genomics.\ n* Apply quality control (QC) measures and utilize analysis tools to prepr ocess scRNA-seq data.\n* Apply normalization\, scaling\, dimensionality re duction\, and integration and clustering on single-cell transcriptomics da ta techniques using R.\n* Differentiate between cell annotation techniques to identify and characterize cell populations.\n* Use differential gene e xpression analysis methods on single-cell transcriptomics data to gain bio logical insights.\n* Select enrichment analysis methods appropriate to the biological question and data.\n* Develop a single-cell transcriptomics da ta analysis workflow from raw count matrix to differential gene expression with peer support and light guidance.\n \n\n# Prerequisites\n##### Knowl edge / competencies\n\n**Participants must have basic knowledge in UNIX\, R and Next-Generation Sequencing (NGS) techniques.**\n\nThis course is par t of the [Omics Data Analysis learning path](https://www.sib.swiss/trainin g/learning-paths?path=omics-data-analysis). To get the most out of this co urse\, you should meet the learning outcomes of [Introduction to bulk RNA- Seq: From Quality Control to Pathway Analysis](https://www.sib.swiss/train ing/course/IRNAS)\, [NGS - Quality control\, Alignment\, Visualisation](ht tps://www.sib.swiss/training/course/NGSQC)\, [First Steps with R in Life S ciences](https://www.sib.swiss/training/course/FSWRR) and [UNIX Fundamenta ls](https://edu.sib.swiss/pluginfile.php/2878/mod_resource/content/4/couse lab-html/content.html). Upon completion of this course\, you may wish to a ttend the [\nIntroduction to Sequencing-based Spatial Transcriptomics Data Analysis\n](https://www.sib.swiss/training/course/SBSRT).\n\nIn case of d oubt\, evaluate your **R skills** [here](https://docs.google.com/forms/d/e /1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_ link) and your **UNIX skills** [here](https://docs.google.com/forms/d/e/1F AIpQLSd2BEWeOKLbIRGBT_aDEGPce1FOaVYBbhBiaqcaHoBKNB27MQ/viewform?usp=sf_lin k).\n\n\n##### Technical\nAttendees should have a Wi-Fi enabled computer. **An online R and RStudio environment will be provided.** However\, in cas e you wish to perform the practical exercises on your own computer\, pleas e install an [R version >\; 4.0](https://www.r-project.org/) and the [la test RStudio version](https://www.rstudio.com/products/rstudio/download/#d ownload) (the free version is perfectly fine) before the course.\n\n\n\n# Schedule\nThe course schedule is found on [GitHub](https://sib-swiss.githu b.io/single-cell-training/course_schedule.html).\n\n# Application\n\n\n\n\ nThe registration fees for academics are **300 CHF** and **1500 CHF** for for-profit companies. While participants are registered on a first come\, first served basis\, exceptions may be made to ensure diversity and equity \, which may increase the time before your registration is confirmed.\n\nA pplications will close once the places will be filled. Deadline for regist ration and free-of-charge cancellation is set to **09/06/2026**. Cancellat ion after this date will not be reimbursed. Please note that participation in SIB courses is subject to our [general conditions](https://www.sib.swi ss/training/terms-and-conditions).\n\nYou will be informed by email of you r registration confirmation. Upon reception of the confirmation email\, pa rticipants will be asked to confirm attendance by paying the fees within 5 days.\n\n# Venue and Time\n\nThis course will take place in Zurich.\n\nIt will start at 9:00 and end around 17:00 every day.\n\nPrecise information will be provided to the participants in due time.\n\n\n# Additional info rmation\nCoordination: Monique Zahn\, SIB Training group.\n\nAt the end of the course\, we will provide a *Certificate of Attendance* or a *Certific ate of Achievement* recommending 0.75 ECTS credits (given a passed 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/mailman/listinfo/courses) .\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:Single-Cell Transcriptomics with R URL;VALUE=URI:https://www.sib.swiss/training/course/20260616_ISCTR END:VEVENT END:VCALENDAR