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Bits & Bites # 02: Introduction to the GNPS Ecosystem – Tools, Visualizations, and Data

February 9

This is the 2nd course (for 2023) and is taught by Dr. Mingxun Wang from UC Riverside. No programming experience is necessary. This short course focuses on how to look at the data using classical molecular networking on GNPS by reanalyzing public MassIVE data with classical molecular networking, visualizing raw mass spec data with GNPS Dashboard, and searching/contextualizing MS/MS data with MASST.

The goals of the short course are to:

  • Select spectrum files and metadata from MassIVE public dataset;
  • Run classical molecular network workflow;
  • Qualitatively comparison of cohorts with molecular networks;
  • Visualize LC/MS Data Interactively – GNPS Dashboard;
  • Search Public Data with MASSTIdentify putative compounds;
  • Visualize your molecular families.