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DTSTAMP:20260617T133911Z
UID:9a82080b-864b-4083-93a5-685311de5654
DTSTART:20240718T140000Z
DTEND:20240718T150000Z
DESCRIPTION:Our data visualisation mini-series continues!\n\nEffective comm
 unication of scientific results relies heavily on good data visualisation\
 , whether we aim to communicate with a lay audience or other scientists.\n
 \nEarlier this year\, we presented an introductory webinar about good data
  visualisation practice and techniques. And we followed up with a more pra
 ctical session\, teaching you the basics of data visualisation with both R
  and Python.\n\nThis month\, we want to take things a bit further and intr
 oduce you to some more R and Bioconductor packages\, that our speaker deve
 loped for visualising biological and omics datasets. The packages that he 
 will introduce include ComplexHeatmap\, EnrichedHeatmap\, InteractiveCompl
 exHeatmap\, circlize\, spiralize and HilbertCurve. Our speaker will introd
 uce both basic and advanced features of these different visualization tech
 niques with real-world examples and will demonstrate how they help to asso
 ciate multiple sources of information and reveal the unseen patterns in th
 e data.\n\nThe seminar will be given by Zuguang Gu\, bioinformatician\, bi
 oinformagician\, and R package developer at the DKFZ. The event is aimed a
 t anyone who would like to learn more about visualisation of biological da
 ta. Basic R knowledge will be helpful in following this webinar. We also r
 ecommend our two previous data visualisation webinars as mentioned above.\
 n\nThe event is in English and will be held on 18 July 2024\, 14:00 CEST (
 available afterwards on demand). Attendance is free\, but we ask for regis
 tration.
SUMMARY:GHGA Webinar: Biological Data Visualisation with R and Bioconductor
URL;VALUE=URI:https://www.ghga.de/events/detail/ghga-webinar-biological-dat
 a-visualisation-in-r-and-bioconductor
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