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Semiautomated glycoproteomics data analysis workflow for maximized glycopeptide identification and reliable quantification

Glycoproteomic data are often very complex, reflecting the high structural diversity of peptide and glycan portions. The use of glycopeptide-centered glycoproteomics by mass spectrometry is rapidly evolving in many research areas, leading to a demand in reliable data analysis tools. In recent years,...

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Dades bibliogràfiques
Publicat a:Beilstein J Org Chem
Autors principals: Lippold, Steffen, de Ru, Arnoud H, Nouta, Jan, van Veelen, Peter A, Palmblad, Magnus, Wuhrer, Manfred, de Haan, Noortje
Format: Artigo
Idioma:Inglês
Publicat: Beilstein-Institut 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7736696/
https://ncbi.nlm.nih.gov/pubmed/33363672
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3762/bjoc.16.253
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