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DTSTAMP:20260618T145259Z
UID:a0fe7373-07fa-4759-b811-b5999af8b035
DTSTART:20240919T090000Z
DTEND:20240920T170000Z
DESCRIPTION:# Overview\nThis two-day course will present the theory and bio
 informatics tools required to analyze RNA-seq gene expression data. The co
 urse will present the theory and bioinformatics tools required to analyse 
 RNA-seq gene expression data\, from the raw data until the biological inte
 rpretation. The following topics will be discussed:\n* Quality control\n* 
 Mapping to genomes &amp\; transcriptomes\n* Read counting\, gene different
 ial expression analysis\n* GO enrichment and pathway analysis\n\n# Audienc
 e\nThis course is addressed to life scientists or bioinformaticians famili
 ar with "Next Generation Sequencing" who wish to acquire the necessary ski
 lls to analyse RNA-seq gene expression data.\n\n# Learning outcomes\nAt th
 e end of the course\, the participants are expected to:\n* Describe advant
 ages and pitfalls of RNA sequencing\n* Design their own experiment\n* Perf
 orm the downstream analysis using command line software (QC\, mapping\, co
 unting\, differential expression analysis\, pathway analysis\, etc)\n* Cri
 tically assess the quality of their results at each step of the downstream
  analysis\n\n# Prerequisites\n##### Knowledge / competencies\nParticipants
  should already have a basic knowledge in Next Generation Sequencing (NGS)
  techniques.\n\nBasic knowledge of the R statistical software and completi
 on of the [UNIX fundamentals](https://edu.sib.swiss/pluginfile.php/2878/mo
 d_resource/content/4/couselab-html/content.html) e-learning module or equi
 valent knowledge is also required.\n##### Technical\nYou are required to h
 ave your own Wi-Fi enabled laptop.\n\nYou should also have access to a ter
 minal on your computer: \n\n macOS / Linux: you can use the default termin
 al. If you are unfamiliar with scp\, you may want to install a graphical c
 lient for file transfer\, such as fileZilla \nWindows\, you should install
  a terminal which lets you do ssh (for instance mobaXterm).\n\n\n# Schedul
 e\n\nThis course will be held ONLY in person in Zurich. It will start at 9
 :00 and end around 17:00.\n\nThe schedule and course materials are on the 
 dedicated [GitHub page](https://sib-swiss.github.io/RNAseq-introduction-tr
 aining/course_schedule/).\n\n\n# Application\n\n\n\n\nThe registration fee
 s for academics are **200 CHF** and **1000 CHF** for for-profit companies.
   \nWhile participants are registered on a first come\, first served basis
 \, exceptions may be made to ensure diversity and equity\, which may incre
 ase the time before your registration is confirmed.\n\nApplications will c
 lose as soon as the places will be filled up. Deadline for free-of-charge 
 cancellation is set to **05/09/2024**. Cancellation after this date will n
 ot be reimbursed. Please note that participation in SIB courses is subject
  to our [general conditions](https://www.sib.swiss/training/terms-and-cond
 itions).\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\n#  Additional in
 formation\n\nCoordination: Valeria Di Cola\, SIB Training Group\, in colla
 boration with the Chemistry | Biology | Pharmacy Information Center\n\nWe 
 will recommend 0.5 ECTS credits for this course (given a passed exam at th
 e end of the course).\n\nYou are welcome to register to the SIB courses ma
 iling list to be informed of all future courses and workshops\, as well as
  all important deadlines using the form [here](https://lists.sib.swiss/pos
 torius/lists/courses.lists.sib.swiss/).\n\nSIB abides by the [ELIXIR Code 
 of Conduct](https://elixir-europe.org/events/code-of-conduct). Participant
 s of SIB courses are also required to abide by the same code.\n\nFor more 
 information\, please contact [training@sib.swiss](mailto:training@sib.swis
 s).\n\n\n\n![](https://infozentrum.ethz.ch/typo3conf/ext/theme/Resources/P
 ublic/Logos/logo-retina.png)
SUMMARY:Introduction to Bulk RNA-Seq: From Quality Control to Pathway Analy
 sis
URL;VALUE=URI:https://www.sib.swiss/training/course/20240919_IRNAS
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