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,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Beilstein-Institut
2020-12-01
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| Series: | Beilstein Journal of Organic Chemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.3762/bjoc.16.253 |