Machine Learning in Proteomics
Sprecher/in: Wout Bittremieux (University of California San Diego)
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Über die Veranstaltung:
This bi-weekly seminar series is targeted to give a general introduction to contemporary mass spectrometry and in particular how to analyze biomolecules. We will cover fundamental hardware principles on how a mass spectrometer works and application focused data analysis approaches. The seminar is meant to be very interactive and will have a large hands-on component for the data analysis tools.
The goal is to start from zero and bring everybody to a level of executing independently different mass spec data analysis tasks within a few sessions.
As the seminar will be very user focused, the content will only be set for the first lectures and will then evolve based on the participants interest. The idea is hereby that we will have guest lectures from experts in the field (e.g. mass spec software developers) as well as participants of the seminar who want to highlight their own data acquisition and data analysis approaches. That said, the seminar shall serve as a dynamic platform to teach and exchange ideas and concepts in mass spectrometry.
The focus will be at the beginning on non-targeted LC-MS/MS and data analysis with GNPS (gnps.ucsd.edu) and MZmine (mzmine.github.io) environment but might then shift to other software tools and approaches (e.g. targeted metabolomics and other non-targeted approaches such as flow-injection analysis) as well as proteomics methods (e.g. shot-gun and top-down proteomics).
All software highlighted will be open-source.