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DTSTAMP:20260711T114628Z
UID:99211989-794e-4242-b038-2839784945a2
DTSTART:20251006T070000Z
DTEND:20251007T110000Z
DESCRIPTION:Educators:\nKarin Schork\, Nils Hoffmann (BioInfra.Prot / LIFS)
 \n\nDate:\n6th Oct + 7th Oct 2025\, 1:00 pm – 5:00 pm\, UTC+1\n\nLocatio
 n:\nOnline training\n\nContents:\nIn this course you will learn how to use
  the ggplot2 package in R to create informative and beautiful figures to c
 ommunicate your (prote-)omics data and analysis results.\n\nWe will cover 
 the following topics:\n- Usage of the tidyverse for data preprocessing\n- 
 Usage of the ggplot2 R package\n- Presentation of different types of graph
 ics and when to use them\n- Customization of graphics\n\nWe will explain t
 he concepts in general\, while the hands-on exercises will be focused on v
 isualizing proteomics data.\n\nLearning goals:\n- Using the ggplot2 R pack
 age to create graphics for omics data\n- Decide which type of graph is app
 ropriate for the given data\n- Ability to customize the graphics using ggp
 lot2\n\nPrerequisites:\n- Basic understanding of high-dimensional data set
 s from quantitative proteomics or other life sciences\;\n- Basic knowledge
  of R (e.g. data import\, basic plots. This can for example be gained from
  our course “Differential analysis of quantitative proteomics data” (1
 6th and 17thSeptember 2025\, https://forms.gle/wCpP3kJqjLGMyosZ9).\n- Comp
 uter with stable internet connection\, headset and camera\n\nKeywords:\nR\
 ; tidyverse\; ggplot2\; high-throughput data\; omics\; proteomics\; data a
 nalysis\, graphics\, data preprocessing\n\nTools: \nDownload and more info
 rmation on R here:\nhttps://cran.r-project.org/\n\nWe recommend using an e
 ditor such as RStudio\, see\nwww.rstudio.com
SUMMARY:Visualization of proteomics data using R
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1914-visualization
 -of-proteomics-data-using-r
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