BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260618T090158Z
UID:f4971066-8d23-4414-a5c1-a651c9d362be
DTSTART:20201207T090000Z
DTEND:20201207T170000Z
DESCRIPTION:Educators:\nMarkus Stepath\, Karin Schork\, Nils Hoffmann (BioI
 nfra.Prot / LIFS)\n\nDate:\nMonday\, 7th Dec 2020\n\nLocation:\nOnline tra
 ining\n\nContents:\nIn this course you will learn how to use the ggplot2 p
 ackage in R to create informative and beautiful figures to communicate you
 r 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 graphics and when to use th
 em\n- Customization of graphics\n\nPlease be aware that basic knowledge of
  R is taught in our course “Differential analysis of quantitative proteo
 mics data” on Monday\, 2nd Nov 2020 (http://goo.gl/forms/mpKHnbT1Um).\n\
 nLearning goals:\n- Using the ggplot2 R package to create graphics for omi
 cs data\n- Decide which type of graph is appropriate for the given data\n-
  Ability to costumize the graphics using ggplot2\n\nPrerequisites:\n- Basi
 c understanding of high-dimensional data sets from quantitative proteomics
  or other life sciences\;\n- Basic knowledge of R (e.g. data import\, basi
 c plots. This can for example be gained from our course “Differential an
 alysis of quantitative proteomics data” (Monday\, 2nd Nov 2020\, http://
 goo.gl/forms/mpKHnbT1Um).\n- Computer with stable internet connection\, he
 adset and camera\n\nKeywords:\nR\; tidyverse\; ggplot2\; high-throughput d
 ata\; omics\; proteomics\; data analysis\, graphics\, data preprocessing\n
 \nTools: \nDownload and more information on R here:\nhttps://cran.r-projec
 t.org/\n\nWe recommend using an editor such as RStudio\, see\nwww.rstudio.
 com
SUMMARY:Data visualization using R
URL;VALUE=URI:https://www.denbi.de/training/965-data-visualization-using-r
END:VEVENT
END:VCALENDAR