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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Detaylı Bibliyografya
Yayımlandı:Beilstein J Org Chem
Asıl Yazarlar: Lippold, Steffen, de Ru, Arnoud H, Nouta, Jan, van Veelen, Peter A, Palmblad, Magnus, Wuhrer, Manfred, de Haan, Noortje
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Beilstein-Institut 2020
Konular:
Full Research Paper
Online Erişim: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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