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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260628T235656Z
UID:2ba90cd7-6246-4df7-a7cf-55b08d4f4f93
DTSTART:20260115T080000Z
DTEND:20260116T160000Z
DESCRIPTION:Educators:\nNihit Aggarwal\, Dr. Gilles Gasparoni\, Lukas Laufe
 r\, Prof. Dr. Jörn Walter\, (HD HuB)\n\nDate:\nJanuary 15th and 16th\, 20
 26.\n\nLocation:\nSaarbrücken and online (hybrid)\n\nContents:\nThe works
 hop aims to convey basic knowledge on the bioinformatic processing of DNA 
 methylation data. We will explore the important role of DNA methylation an
 d examine various methodologies for its measurement\, particularly emphasi
 zing methylation arrays. Participants will learn on how to access methylat
 ion data from online platforms and set up their analysis environment utili
 zing RStudio and RnBeads. The course will guide through the entire process
  of handling array-based methylation data\, starting from the initial impo
 rt to conducting thorough quality assessments\, and achieving standardizat
 ion. We will generate comprehensive methylation profiles and engage in bot
 h exploratory and comparative studies to detect methylation differences ac
 ross various biological sites\, cellular compositions\, and pathological c
 onditions (Neurodegenerative disease). The workshop will also touch advanc
 ed topics such as deconvolution methods to discern cell type and disease-s
 pecific methylation distinctions. Additionally\, participants will acquire
  the skills to apply these methodologies to their own array data after the
  workshop.\nLearning goals: \n- Importance and relevance of DNA methylatio
 n \n- Introduction to various technologies for DNA methylation measurement
 \, with a focus on methylation arrays - Retrieving array based methylation
  data. \n- Preparation of environment (Rstudio and RnBeads) \n- Processing
  of array based data \n        - data import \n        - quality c
 heck \n        - normalization \n- generating methylation matrix \n- P
 erforming exploratory analysis with ggplot \n- Differential analysis \n  
       - sites/regions \n        - cell types \n        - diseas
 e \n- Understanding cell type and disease specific differences \n- Referen
 ce-based deconvolution\n\nPrerequisites: \n- The course requires basic ski
 lls in R. \n- Laptop with at least 4GB RAM. (More information about the pa
 ckages needed will be provided in due time)\n\nKeywords: \nDNA methylation
 \, Methylation array\, RnBeads\, Neurodegenerative disease\, Deconvolution
  Tools: R\, Rstudio\, RnBeads
LOCATION:Saarbrücken
SUMMARY:DNA Methylation: Design to Discovery 2026
URL;VALUE=URI:https://www.denbi.de/training-courses-2026/1973-dna-methylati
 on-design-to-discovery-2026
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