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Generating high quality libraries for DIA MS with empirically corrected peptide predictions

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...

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Publicat a:Nat Commun
Autors principals: Searle, Brian C., Swearingen, Kristian E., Barnes, Christopher A., Schmidt, Tobias, Gessulat, Siegfried, Küster, Bernhard, Wilhelm, Mathias
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7096433/
https://ncbi.nlm.nih.gov/pubmed/32214105
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15346-1
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