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

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.

Bibliographic Details
Main Authors: Mukul K. Midha, David S. Campbell, Charu Kapil, Ulrike Kusebauch, Michael R. Hoopmann, Samuel L. Bader, Robert L. Moritz
Format: Article
Language:English
Published: Nature Portfolio 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18901-y