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