DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics

Abstract

Most data-independent acquisition (DIA) methods depend on mass spectral libraries for peptide identification but tools to assess library quality are lacking. Here, the authors develop DIALib- QC for the systematic evaluation and correction of spectral libraries.