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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\nThe course is inte
 nded for those who are already have a basic knowledge in:\n\n* High-throug
 hput sequencing (HTS) technologies and their general workflows\n* Common H
 TS data formats\, including FASTA\, FASTQ\, SAM/BAM\, and GTF/GFF3\n* Fund
 amental concepts of RNA biology\, particularly non-coding RNAs (e.g.\, mic
 roRNAs and other small RNAs)\n* `R` (evaluate your `R` skills [here](https
 ://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZi
 WnpmkpujyOg/viewform?usp=sf_link))\n\n\nParticipants who have already foll
 owed the SIB course ["Introduction to Sequencing Data Analysis"](https://w
 ww.sib.swiss/training/course/20251119_ISEDA) and ["First Steps with R in L
 ife Sciences"](https://www.sib.swiss/training/course/20251013_FSWR)\, or a
 n equivalent courses should fit this prerequisite. \n\n\n\n### Technical\n
 \nYou will need access to a Wi-Fi enabled computer. An online `R` and `RSt
 udio` environment will be provided. However\, in case you wish to perform 
 the practical exercises on your own computer\, please take a moment to ins
 tall `R` (`&gt\; 4.5`) and `Rstudio` before the course.\n\n\n## Applicatio
 n\n\nThe registration fees for academics are **CHF 200** and **CHF 1000** 
 for for-profit companies. \n\nWhile participants are registered on a first
  come\, first served basis\, exceptions may be made to ensure diversity an
 d equity\, which may increase the time before your registration is confirm
 ed.\n\n \nApplications will close on **28/09/2026** or as soon as the plac
 es will be filled up. Cancellation after **05/10/2026** will not be reimbu
 rsed. Please note that participation in SIB courses is subject to our [gen
 eral conditions](https://www.sib.swiss/training/terms-and-conditions).\n \
 n You will be informed by email of your registration confirmation. Upon re
 ception of the confirmation email\, participants will be asked to confirm 
 attendance by paying the fees within 5 days.\n\n\n\n## Venue and Time\n\nT
 he course will take place in Zurich.\n\nThe course will start at 9:00 CET 
 and end around 17:00 CET each day.\n\nPrecise information will be provided
  to the registered participants in due time. \n\n\n## Additional informati
 on\n\nCoordination: Patricia Palagi\, SIB Training group.\n\nA **Certifica
 te of Attendance** will be sent provided you were present at the course\, 
 whereas a **Certificate of Achievement** recommending 0.5 ECTS will be sen
 t provided you passed the exam. \n\nYou are welcome to register to the SIB
  courses mailing list to be informed of all future courses and workshops\,
  as well as all important deadlines using the form [here](https://lists.si
 b.swiss/postorius/lists/courses.lists.sib.swiss/).\n\nSIB abides by the [E
 LIXIR 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:traini
 ng@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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