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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T233946Z
UID:30c85145-fa65-438a-9edf-cca1e3b26e44
DTSTART:20241205T080000Z
DTEND:20241206T160000Z
DESCRIPTION:Educators:\nNihit Aggarwal\, Dr. Gilles Gasparoni\, Dr. Thomas 
 Hentrich\, Prof. Dr. Jörn Walter\, (HD HuB)\n\nDate:\nDecember 5th and 6t
 h\, 2024.\n\nLocation:\nSaarbrücken\n\nContents:\nThe workshop aims to co
 nvey basic knowledge on the bioinformatic processing of DNA methylation da
 ta. We will explore the important role of DNA methylation and examine vari
 ous methodologies for its measurement\, particularly emphasizing methylati
 on arrays. Participants will learn on how to access methylation data from 
 online platforms and set up their analysis environment utilizing RStudio a
 nd RnBeads. The course will guide through the entire process of handling a
 rray-based methylation data\, starting from the initial import to conducti
 ng thorough quality assessments\, and achieving standardization. We will g
 enerate comprehensive methylation profiles and engage in both exploratory 
 and comparative studies to detect methylation differences across various b
 iological sites\, cellular compositions\, and pathological conditions (Neu
 rodegenerative disease). The workshop will also touch advanced topics such
  as deconvolution methods to discern cell type and disease-specific methyl
 ation distinctions. Additionally\, participants will acquire the skills to
  apply these methodologies to their own array data after the workshop.\n\n
 Learning goals:\n- Importance and relevance of DNA methylation\n- Introduc
 tion to various technologies for DNA methylation measurement\, with a focu
 s on methylation arrays - Retrieving array based methylation data.\n- Prep
 aration of environment (Rstudio and RnBeads)\n- Processing of array based 
 data\n        - data import\n        - quality check\n        - normalizat
 ion\n- generating methylation matrix\n- Performing exploratory analysis wi
 th ggplot\n- Differential analysis\n        - sites/regions\n        - cel
 l types\n        - disease\n- Understanding cell type and disease specific
  differences\n- Reference-based deconvolution\n\nPrerequisites:\n- The cou
 rse requires basic skills in R.\n- Laptop with at least 4GB RAM. (More inf
 ormation about the packages needed will be provided in due time)\n\nKeywor
 ds:\nDNA methylation\, Methylation array\, RnBeads\, Neurodegenerative dis
 ease\, Deconvolution Tools: R\, Rstudio\, RnBeads
SUMMARY:DNA Methylation: Design to Discovery 2024
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1809-dna-methylati
 on-design-to-discovery-2024
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