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DTSTAMP:20260912T173116Z
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DTSTART:20260323T080000Z
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DESCRIPTION:National course open for PhD students\, postdocs\, researchers 
 and other employees in all Swedish universities\, in need of metabolomics 
 data analysis skills. We also welcome applications from outside of Sweden 
 and from the non-academic sector\, for more info contact us! \n\n**[Apply 
 here!](https://forms.gle/mvQFpdrxjucfeKR99)**\n\nWe will go through study 
 design\, familiarize ourselves with principles of LCMS\, GCMS and NMR expe
 riments\, pre-process the raw data acquired from analytical instruments an
 d perform downstream data analysis and interpretation using multivariate m
 ethods such as PCA\, (O)PLS and (O)PLS-DA. The course will include lecture
 s and hands-on exercises.\n\n**Important dates and information**\n---\nApp
 lication opens: 2025-09-19\nApplication closes: 2026-02-16\nConfirmation t
 o accepted students: 2026-02-20\nCourse Leader and teachers: Elena Drachev
 a\, Katie Bennett\, Carl Brunius\, Hans Stenlund\, Stefano Papazian\, Ilon
 a Dudka.\nIn case you miss information on any of the above dates\, please 
 contact: Elena Dracheva\nEmail: edu.metabolomics@nbis.se\n\n**Course fee**
 \n---\nA course fee of 2000 SEK  for academic participants and 9500 SEK fo
 r non-academic participants will be invoiced to accepted participants. \nT
 he fee includes lunches and coffee.\n\n*Please note that NBIS cannot invoi
 ce individuals*\n\n**Topics covered will include:**\n---\n- Designing a me
 tabolomics experiment\n- Principles of LCMS\, GCMS and NMR techniques\n- P
 re-processing (peak picking\, alignment\, annotation) of raw metabolomics 
 and exposomics data with MS-Dial\n- Quality controls of raw data\n- Analys
 is of metabolomics and exposomics data using PCA\, (O)PLS and (O)PLS-DA in
  R and SIMCA software\n- Assessment of model performance and selection of 
 differential metabolites\n\nDue to limited space the course can accommodat
 e a maximum of 20 participants. If we receive more applications\, particip
 ants will be selected based on selection criteria\, including (but not lim
 ited to) correct entry requirements\, motivation to attend the course\, as
  well as gender and geographical balance.
LOCATION:Umeå University\, KBC-huset\, room KBC-Glasburen
SUMMARY:Introduction to Metabolomics Data Analysis
URL;VALUE=URI:https://uppsala.instructure.com/courses/116668
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