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DTSTAMP:20260629T185432Z
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DTSTART:20210909T140000Z
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DESCRIPTION:Educators:\nTimo Sachsenberg (CIBI)\n\nDate:\n09.09.2019\n\nLoc
 ation:\nGCB 2021 - Online\n\nContents:\nThe course introduces key concepts
  of non-targeted label-free proteomics. Non-targeted methods are ideal for
  unbiased discovery studies and scale well for large-scale studies (e.g.\,
  clinical proteomics). Based on example datasets we will then introduce se
 veral open-source software tools for proteomics primarily focusing on Open
 MS (www.openms.org). We will demonstrate how these tools can be combined i
 nto complex data analysis workflows including visualization of results. Pa
 rticipants will have the opportunity to design custom analysis workflows t
 ogether with instructors.\n\nPrerequisites:\nTarget audience are computati
 onal scientists interested in working with raw mass spectrometric data.\n\
 nLearning goals:\n- Introduction to computational mass spectrometry proteo
 mics\n- OpenMS and the integration platform KNIME\n- Hands-on: Identificat
 ion and Quantification workflow for Label-free quantitative proteomics\n- 
 Optional: Developing tools with the OpenMS library\n- Optional: Large scal
 e data processing with OpenMS (nextflow or galaxy)\n\nSoftware Requirement
 s:\nInstaller versions of required software will be made available.\n\nKey
 words:\nLC-MS based proteomics\, OpenMS\, workflows\, KNIME\, data analysi
 s\n\nTools:\nOpenMS/pyOpenMS\, KNIME
SUMMARY:Non-targeted label-free Proteomics - GCB 2021
URL;VALUE=URI:https://www.denbi.de/training/1273-non-targeted-label-free-pr
 oteomics-gcb-2021
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