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Document type:
Zeitschriftenaufsatz
Author(s):
Searle, Brian C.; Swearingen, Kristian E.; Barnes, Christopher A.; Schmidt, Tobias; Gessulat, Siegfried; Küster, Bernhard; Wilhelm, Mathias
Title:
Generating high quality libraries for DIA MS with empirically corrected peptide predictions
Abstract:
Data-independent acquisition approaches typically rely on experiment-specific spectrum libraries, requiring offline fractionation and tens to hundreds of injections. We demonstrate a library generation workflow that leverages fragmentation and retention time prediction to build libraries containing every peptide in a proteome, and then refines those libraries with empirical data. Our method specifically enables rapid, experiment-specific library generation for non-model organisms, which we demon...    »
Journal title:
Nature Communications
Year:
2020
Journal volume:
11
Journal issue:
1
Publisher:
Springer Science and Business Media LLC
E-ISSN:
2041-1723
Notes:
Prosit
Date of publication:
25.03.2020
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