BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260407T181224Z
UID:52d26164-58da-40fb-85ce-31142aa8450d
DTSTART:20260708T090000Z
DTEND:20260710T170000Z
DESCRIPTION:## Overview\n\nSpatial transcriptomics is a rapidly evolving te
 chnology that allows researchers to study gene expression within the spati
 al context of tissue architecture. This course provides a practical introd
 uction to the analysis of sequencing-based spatially resolved transcriptom
 ics (SRT) data\, combining theoretical background with hands-on exercises 
 using mostly the R/[Bioconductor](https://www.bioconductor.org/) ecosystem
 . Participants will gain an understanding of experimental design\, data pr
 eprocessing\, and downstream analysis workflows. Through lectures and guid
 ed practicals\, the course aims to equip participants with the skills need
 ed to perform their own spatial transcriptomics analyses and interpret the
  results in a biological context.\n\n\n## Audience\nThis course is designe
 d for PhD students\, postdoctoral and other researchers in the life scienc
 es from both academia and industry who are seeking to understand and analy
 ze spatial transcriptomics data.\n\n## Learning outcomes\n\nAt the end of 
 the course\, the participants are expected to:\n\n- Explain the principles
  and describe applications of sequencing-based spatially-resolved transcri
 ptomics (SRT).\n- Define the differences between sequencing-based SRT meth
 ods and imaging-based SRT methods.\n- Identify potential pitfalls and limi
 tations of sequencing-based SRT experiments and analysis workflows.\n- Ass
 ess and interpret raw sequencing outputs and spatial metadata files\, unde
 rstanding their structure and relevance for downstream analyses.\n- Define
  important aspects of quality control\, feature selection\, dimensionality
  reduction and differentail gene expression to SRT data and apply those. \
 n- Clarify various spatial statistics and their application to biological 
 questions.\n- Use frequently-used methods to analyze multi-sample SRT expe
 riments.\n\n\n## Prerequisites\n\n### Knowledge\nYou should meet the learn
 ing outcomes of: \n\n- [Introduction to bulk RNA-Seq: From Quality Control
  to Pathway Analysis](https://www.sib.swiss/training/course/IRNAS)\n- [Int
 roduction to Sequencing Data Analysis](https://www.sib.swiss/training/cour
 se/ISEDA)\n- [First Steps with R in Life Sciences](https://www.sib.swiss/t
 raining/course/FSWRR)\n- [Single-Cell Transcriptomics with R](https://www.
 sib.swiss/training/course/SCTR)\n\nIn summary\, participants must already 
 have a basic knowledge in:\n- Next Generation Sequencing (NGS) techniques\
 n- Analyzing gene expression data\n- Dimensionality reduction (PCA\, UMAP)
 \n- Graph-based clustering \n- `R` (evaluate your `R` skills [here](https:
 //docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiW
 npmkpujyOg/viewform?usp=sf_link))\n- `UNIX` (self-assess your skills with 
 the e-learning course [`UNIX` Fundamentals](https://www.sib.swiss/training
 /course/2012_UNIXF)\, and this [quiz](https://docs.google.com/forms/d/e/1F
 AIpQLSd2BEWeOKLbIRGBT_aDEGPce1FOaVYBbhBiaqcaHoBKNB27MQ/viewform?usp=sf_lin
 k))\n\n### Technical\n\nAttendees should have a Wi-Fi enabled computer. An
  online R and RStudio environment will be provided. However\, in case you 
 wish to perform the practical exercises on your own computer\, please take
  a moment to install R (&gt\; 4.5) and Rstudio before the course.\n\n## Ap
 plication\n\nThe registration fees for academics are **CHF 200** and **CHF
  1000** for for-profit companies. While participants are registered on a f
 irst come\, first served basis\, exceptions may be made to ensure diversit
 y and equity\, which may increase the time before your registration is con
 firmed. \n\nYou will be informed by email of your registration confirmatio
 n. Upon reception of the confirmation email\, participants will be asked t
 o confirm attendance by paying the fees within 5 days.\n\nApplications clo
 se on *25/06/2026* or as soon as the places will be filled up. Deadline fo
 r free-of-charge cancellation is set to *25/06/2026*. Cancellation after t
 his date will not be reimbursed. Please note that participation in SIB cou
 rses 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 Un
 iversity of Zurich. \n\nThe course will start at 9:00 and end around 17:00
 . \n\nPrecise information will be provided to the participants in due time
 .\n\n\n## Additional information\n\nCoordination: Valeria Di Cola\, SIB Tr
 aining Group.\n\nWe will recommend 0.5 ECTS credits for this course (given
  a passed exam at the end of the course).\n\nYou are welcome to register t
 o the SIB courses mailing list to be informed of all future courses and wo
 rkshops\, as well as all important deadlines using the form [here](https:/
 /lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note
  that participation in SIB courses is subject to our [general conditions](
 https://www.sib.swiss/training/terms-and-conditions).\n\nSIB 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.swiss](mailto:tra
 ining@sib.swiss).
SUMMARY:Introduction to Sequencing-based Spatial Transcriptomics Data Analy
 sis
URL;VALUE=URI:https://www.sib.swiss/training/course/20260708_SBSRT
END:VEVENT
END:VCALENDAR