Learn more about creating and testing advanced models for matching target peptides with chromatogram peaks in Skyline. With the 2.5 release, Skyline now supports creating linear combinations of individual peak scores using the mProphet semi-supervised learning algorithm.  In this tutorial, you will learn to generate decoy peptides and transitions, create and assess mProphet scoring models, and apply them to Skyline chromatogram peak picking, both for SRM and DIA/SWATH data.  You will learn about mProphet assigned q values (adjusted p values, based on FDR) and how you can associate them with your picked peaks and export them in a custom report. (28 pages)

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* - written on Skyline v2.5

On January 25, 2017, the Skyline Team produced Webinar #14: Large Scale DIA with Skyline which included a fairly lengthy section on current peak picking strategies in DIA.
[webinar]


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