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DTSTAMP:20260615T045936Z
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DTSTART:20261019T090000Z
DTEND:20261020T170000Z
DESCRIPTION:## Overview\n\nSmall RNA sequencing is a powerful technology th
 at enables researchers to investigate the expression and regulatory roles 
 of short non-coding RNAs\, such as microRNAs\, siRNAs\, tRNAs\, and piRNAs
 \, across diverse biological systems. This course provides a practical int
 roduction to the analysis of small RNA sequencing data\, combining essenti
 al theoretical background with hands-on exercises using primarily the `R`/
 Bioconductor ecosystem. Participants will gain an understanding of experim
 ental design\, data preprocessing (including adapter trimming and size sel
 ection)\, and downstream analysis workflows such as differential expressio
 n. Through lectures and guided practicals\, the course aims to equip parti
 cipants with the skills needed to perform their own small RNA analyses and
  interpret the results within a meaningful biological context.\n\n\n## Aud
 ience \n\nThis course is designed for PhD students\, postdoctoral and othe
 r researchers in the life sciences from both academia and industry who are
  seeking to understand and analyze small RNAs sequencing data.\n\n\n## Lea
 rning outcomes \n\nAt the end of the course\, participants should be able 
 to:\n\n* **Explain** the principles of small RNA sequencing and **describe
 ** the biological roles and applications of short non-coding RNAs (e.g.\, 
 miRNAs\, siRNAs\, tRNAs\, piRNAs).\n\n* **Identify** common sources of tec
 hnical bias and **recognize** limitations in small RNA-seq experiments and
  analysis workflows.\n\n* **Describe** key steps in experimental design an
 d **distinguish** between different library preparation strategies for sma
 ll RNA sequencing.\n\n* **Interpret** raw sequencing outputs (e.g.\, FASTQ
  files) and **summarize** their structure and relevance for downstream ana
 lysis.\n\n* **Apply** standard preprocessing methods\, including adapter t
 rimming\, read filtering\, alignment\, and quantification of small RNAs.\n
 \n* **Apply** appropriate methods for quality control\, normalization\, an
 d differential expression analysis in bulk small RNA-seq data.\n\n* **Anal
 yze** and **interpret** differential expression results in a biological co
 ntext\, including the identification of relevant small RNAs.\n\n* **Evalua
 te** analysis results and **assess** their robustness\, reproducibility\, 
 and biological significance.\n\n* **Use** established tools within the `R`
 /Bioconductor ecosystem to perform end-to-end bulk small RNA-seq data anal
 ysis workflows.\n\n\n## Prerequisites\n\n### Knowledge\nYou should meet th
 e learning outcomes of: \n\n* [Introduction to Sequencing Data Analysis](h
 ttps://www.sib.swiss/training/course/20251119_ISEDA)\n* [First Steps with 
 R in Life Sciences](https://www.sib.swiss/training/course/20251013_FSWR)\n
 \nIn summary\, participants must already have a basic knowledge in:\n\n* H
 igh-throughput sequencing (HTS) technologies and their general workflows\n
 * Common HTS data formats\, including FASTA\, FASTQ\, SAM/BAM\, and GTF/GF
 F3\n* Fundamental concepts of RNA biology\, particularly non-coding RNAs (
 e.g.\, microRNAs and other small RNAs)\n* `R` (evaluate your `R` skills [h
 ere](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu2
 0L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link))\n\n### Technical\n\nAttendees
  should have a Wi-Fi enabled computer. An online `R` and `RStudio` environ
 ment will be provided. However\, in case you wish to perform the practical
  exercises on your own computer\, please take a moment to install `R` (`&g
 t\; 4.5`) and `Rstudio` before the course.\n\n\n## Application\n\nThe regi
 stration fees for academics are **CHF 200** and **CHF 1000** for for-profi
 t companies. \n\nWhile participants are registered on a first come\, first
  served basis\, exceptions may be made to ensure diversity and equity\, wh
 ich may increase the time before your registration is confirmed.\n\n \nApp
 lications will close on **28/09/2026** or as soon as the places will be fi
 lled up. Cancellation after **05/10/2026** will not be reimbursed. Please 
 note that participation in SIB courses is subject to our [general conditio
 ns](https://www.sib.swiss/training/terms-and-conditions).\n \n You will be
  informed by email of your registration confirmation. Upon reception of th
 e confirmation email\, participants will be asked to confirm attendance by
  paying the fees within 5 days.\n\n\n\n## Venue and Time\n\nThe course wil
 l take place at the University of Zurich.\n\nSessions will run from 09:00 
 to approximately 17:00 each day.\n\nPrecise information will be provided t
 o the registered participants in due time. \n\n\n## Additional information
 \n\nCoordination: Patricia Palagi\, SIB Training group.\n\nA **Certificate
  of Attendance** will be sent provided you were present at the course\, wh
 ereas a **Certificate of Achievement** recommending 0.5 ECTS will be sent 
 provided you passed the exam. \n\nYou are welcome to register to the SIB c
 ourses mailing list to be informed of all future courses and workshops\, a
 s well as all important deadlines using the form [here](https://lists.sib.
 swiss/postorius/lists/courses.lists.sib.swiss/).\n\nSIB abides by the [ELI
 XIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Pa
 rticipants of SIB courses are also required to abide by the same code.\n\n
 For more information\, please contact [training@sib.swiss](mailto:training
 @sib.swiss).
SUMMARY:Introduction to Small RNA-seq Data Analysis with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20261019_SMALR
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