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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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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | 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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