Generating high quality libraries for DIA MS with empirically corrected peptide predictions
oleh: Brian C. Searle, Kristian E. Swearingen, Christopher A. Barnes, Tobias Schmidt, Siegfried Gessulat, Bernhard Küster, Mathias Wilhelm
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-03-01 |
Deskripsi
Data-independent acquisition-mass spectrometry (MS) typically requires many preparatory MS runs to produce experiment-specific spectral libraries. Here, the authors show that empirical correction of in silico predicted spectral libraries enables efficient generation of high-quality experiment-specific libraries.