While originally developed for targeted proteomics applications, Skyline is now a rapidly evolving tool for method development and data analysis of small molecule mass spectrometry data. Skyline supports workflows including MRM, PRM, and high-resolution DDA, DIA, and IMS-MS measurement of virtually any molecule. In this course, users will learn how to expand their Skyline horizons beyond those of amino-acid based peptides, to include virtually any molecule. The course will include but not necessarily be limited to the following topics: setting up new methods from transition lists and spectral libraries, building and evaluating metabolomics system suitability tests, performing collision energy and method optimization, mining high-resolution metabolomics data, ion mobility MS of lipids and building spectral libraries, analysis of GCMS data, analysis of isotope flux high-resolution MS data, and multiplexed calibrated quantitative methods.
This course assumes students will have a basic working knowledge of the Skyline software and how to use it, either through experience or by attending the Intro to Skyline course.
Instructors: Will Thompson, Kendra Adams, Pawel Sadowski, Erin Baker, Kaylie Kirkwood, Lisa St. John Williams
Day 1 - Thursday, April 15, 2021
Day 2 - Friday, April 16, 2021