ロード中...
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,...
保存先:
| 出版年: | Beilstein J Org Chem |
|---|---|
| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Beilstein-Institut
2020
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|