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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260710T225036Z
UID:0e96011d-7cd7-4005-a3fd-0fdc882ef4dc
DTSTART:20251109T090000Z
DTEND:20251109T130000Z
DESCRIPTION:Educators:\nTimo Sachsenberg\, Sam Wein (CIBI)\n\nDate:\nNovemb
 er 9th\, 2025 (10:00 AM – 2:00 PM)\n\nLocation:\nMyhal Centre for Engine
 ering Innovation and Entrepreneurship (MY) University of Toronto\, Room #4
 30\n\nContents:\nThe OpenMS Training &amp\; Open House provides a practica
 l introduction to open-source computational mass spectrometry using the Op
 enMS ecosystem. Participants will learn how to analyze proteomics and meta
 bolomics data with OpenMS\, pyOpenMS\, and related tools\, and will have t
 he opportunity to discuss their own data and workflows with developers and
  experienced users.\n\nThrough short tutorials\, poster sessions\, and inf
 ormal discussions\, participants will:\n\nGain an overview of computationa
 l mass spectrometry workflows in OpenMS\nLearn how to use pyOpenMS for scr
 ipting and automation\nExplore pyOpenMS_viz for quick visualization of mas
 s spectrometry data\nGet hands-on with OpenMS WebApps for web-based data a
 nalysis\nLearn about library-free DIA analysis with OpenSWATH and DIAWeave
 r\nDiscuss quantification and data integration with QuantMS\nReceive feedb
 ack on their own datasets\, ideas\, or analysis challenges\nPrerequisites:
 \nBasic knowledge of proteomics or metabolomics workflows is helpful\, but
  not required. No prior programming experience is necessary.\n\nAudience:\
 nResearchers\, students\, and developers interested in learning how to use
  OpenMS and pyOpenMS for computational mass spectrometry data analysis.\n\
 nLearning goals:\n\nUnderstanding the OpenMS ecosystem and its core tools\
 nPerforming basic and advanced analyses using pyOpenMS and OpenMS WebApps\
 nApplying library-free DIA methods with OpenSWATH and DIAWeaver\nEngaging 
 with the OpenMS community and learning how to contribute\nKeywords:\nCompu
 tational mass spectrometry\, OpenMS\, pyOpenMS\, proteomics\, metabolomics
 \, DIA\, data visualization\, reproducible research\n\nTools:\nOpenMS\, py
 OpenMS\, pyOpenMS_viz\, OpenMS WebApps\, OpenSWATH\, DIAWeaver\, QuantMS
LOCATION:Toronto
SUMMARY:OpenMS Training & Open House 2025
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1965-openms-traini
 ng-open-house-2025
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