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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T192127Z
UID:2ac898fc-69e8-45ef-9786-5609a795f40e
DTSTART:20170606T123000Z
DTEND:20170607T210000Z
DESCRIPTION:Using high-throughput technologies\, life science researchers c
 an identify and characterize all the small molecules or metabolites in a g
 iven cell\, tissue\, or organism. The CBW course covers many topics rangin
 g from understanding metabolomics technologies\, data collection and analy
 sis\, using pathway databases\, performing pathway analysis\, conducting u
 nivariate and multivariate statistics\, working with metabolomic databases
 \, and exploring chemical databases. Hands-on practical tutorials using va
 rious data sets and tools will assist participants in learning metabolomic
 s analysis techniques.\n\nParticipants will gain practical experience and 
 skills to be able to:\n\nDesign appropriate metabolome-focused experiments
 \nUnderstand the advantages and limitations of metabolomic data analysis\n
 Devise an appropriate bioinformatics workflow for processing and analyzing
  metabolomic data\nApply appropriate statistics to undertake rigorous data
  analysis\nVisualize datasets to gain intuitive insights into the composit
 ion and/or activity of their metabolome
LOCATION:Toronto
SUMMARY:Informatics and Statistics for Metabolomics
URL;VALUE=URI:https://bioinformatics.ca/workshops/2017/informatics-and-stat
 istics-metabolomics-2017
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