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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260618T114534Z
UID:027dd40c-556c-4693-987c-295b8bc483a7
DTSTART:20190721T090000Z
DTEND:20190726T170000Z
DESCRIPTION:Educators:\nWolfgang Huber\, Mike Smith\, Vincent J. Carey\, La
 urent Gatto\, Robert Gentleman\, Martin Morgan\, Johannes Rainer\, Lori Sh
 epherd\, Charlotte Soneson\, Levi Waldron Simone Bell (HD-HuB)\n\nDate:\n2
 1 to 26 July 2019\n\nLocation:\nBrixen\, Italy\n\nContents:\nThe one-week 
 intensive course Statistical Data Analysis for Genome-Scale Biology teache
 s statistical and computational analysis of multi-omics studies in biology
  and biomedicine. It covers the underlying theory and state of the art (th
 e morning lectures) and practical hands-on exercises based on the R / Bioc
 onductor environment (the afternoon labs).\n\nLearning goals:\nAt the end 
 of the course\, you should be able to run analysis workflows on your own (
 multi-)omic data\, adapt and combine different tools\, and make informed a
 nd scientifically sound choices about analysis strategies.\n\nPrerequisite
 s:\nThe course is intended researchers who have basic familiarity with the
  experimental technologies and their applications in biology\, and who are
  interested in making the step from a user of bioinformatics software towa
 rds adapting or developing their own analysis workflows.\n\nKeywords:\nSta
 tistics\, biology\, RNASeq\, Bioconductor\, R\, RStudio human genetics.\n\
 nTools:\nR / Bioconductor
LOCATION:Brixen
SUMMARY:CSAMA 2019 - Statistical Data Analysis for Genome-Scale Biology 
URL;VALUE=URI:https://www.denbi.de/training/483-statistical-data-analysis-f
 or-genome-scale-biology
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