Generating high quality libraries for DIA MS with empirically corrected peptide predictions
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-specif...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2020
|
| Subjects: | |
| Online Access: | https://doaj.org/article/fb9023947e6a4fa1a16ec3f069b1e441 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|