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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260617T172415Z
UID:5b7be909-f9cb-4348-9f2c-74e156d4c1e0
DTSTART:20190916T090000Z
DTEND:20190916T170000Z
DESCRIPTION:Educators:\nJulianus Pfeuffer\, Timo Sachsenberg\n\nDate:\n16.0
 9.2019\n\nLocation:\nGCB 2019.\nHeidelberg\n\nContents:\nComputational mas
 s spectrometry provides important tools and bioinformatic solutions for th
 e analysis of proteomics data. Different methods for label-free quantifica
 tion have been developed in recent years and were successfully applied in 
 a wide range of studies. Targeted approaches for label-free quantification
 \, like SWATH-MS\, achieve deep proteome coverage over a large number of s
 amples while non-targeted methods have shown great potential in unbiased d
 iscovery studies. This de.NBI training event introduces key concepts of bo
 th targeted SWATH-MS and non-targeted label-free analysis using workflow-b
 ased processing of real-life datasets. We will introduce several open-sour
 ce software tools for proteomics\, primarily focusing on OpenMS (http://ww
 w.OpenMS.org). In a hands-on session\, we will demonstrate how to combine 
 these tools into complex data analysis workflows including visualization o
 f the results. Participants will have the opportunity to bring their own d
 ata and design custom analysis workflows together with instructors. For pa
 rticipants interested in developing their own algorithms and methods withi
 n the OpenMS framework\, we provide a brief introduction to pyOpenMS – t
 he python interface to the OpenMS development library.\nTraining material 
 and handouts will be prepared for both users that want to design proteomic
  workflows\, as well as training material for algorithm and tool developer
 s.\n\nSoftware Requirements:\nThe participants should bring their own lapt
 op computers. Installer versions of required software will be made availab
 le.\n\nKeywords:\nLC-MS based proteomics\, OpenMS\, workflows\, KNIME\, da
 ta analysis\n\nTools:\nOpenMS/pyOpenMS\, KNIME
LOCATION:Heidelberg
SUMMARY:Proteomics and metabolomics with OpenMS and pyOpenMS - GCB2019
URL;VALUE=URI:https://www.denbi.de/training/666-proteomics-and-metabolomics
 -with-openms-and-pyopenms
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