Algorithms and design strategies towards automated glycoproteomics analysis.
about
Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.Computational Methods in Mass Spectrometry-Based Proteomics.Quantitative glycomics using liquid phase separations coupled to mass spectrometry.Use of an informed search space maximizes confidence of site-specific assignment of glycoprotein glycosylation.Integral membrane proteins: bottom-up, top-down and structural proteomics.pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identificationA Comprehensive, Open-source Platform for Mass Spectrometry-based Glycoproteomics Data Analysis.PepSweetener: A Web-Based Tool to Support Manual Annotation of Intact Glycopeptide MS Spectra.Large-scale intact glycopeptide identification by Mascot database search.Glycoprotein Enrichment Analytical Techniques: Advantages and Disadvantages.Dissecting the Dissociation Patterns of Fucosylated Glycopeptides Undergoing CID: A Case Study in Improving Automated Glycopeptide Analysis Scoring Algorithms.Glycomics@ExPASy: Bridging the gap
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P2860
Algorithms and design strategies towards automated glycoproteomics analysis.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Algorithms and design strategies towards automated glycoproteomics analysis.
@en
type
label
Algorithms and design strategies towards automated glycoproteomics analysis.
@en
prefLabel
Algorithms and design strategies towards automated glycoproteomics analysis.
@en
P2860
P356
P1476
Algorithms and design strategies towards automated glycoproteomics analysis
@en
P2093
P2860
P304
P356
10.1002/MAS.21487
P577
2016-01-04T00:00:00Z