Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard

Clarisse Gotti1,2, Florence Roux-Dalvai1,2, Charles Joly-Beauparlant2

  • 1Proteomics Platform, CHU de Québec - Université Laval Research Centre, Québec City, Québec G1V 4G2, Canada.

Summary

This study compares 36 data-independent acquisition (DIA) workflows for LC-MS/MS proteomics. It provides guidelines for selecting optimal DIA parameters and software for identifying low-abundance proteins in complex proteomes.

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