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

Autor: Mukul K. Midha, David S. Campbell, Charu Kapil, Ulrike Kusebauch, Michael R. Hoopmann, Samuel L. Bader, Robert L. Moritz
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-020-18901-y
Popis: 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.
Databáze: Directory of Open Access Journals