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1 be derivatized fluorescently for functional glycomics.
2 may have an important impact on the field of glycomics.
3 is technique is widely used, particularly in glycomics.
4 array data for the Consortium for Functional Glycomics.
5 ical toolbox that is currently available for glycomics.
6 ther progress in the areas of proteomics and glycomics.
7 udies including proteomics, metabolomics and glycomics.
8 ct prediction applied to the three levels of glycomics.
9 reports have demonstrated its potential for glycomics.
10 the fields of proteomics, metabolomics, and glycomics.
11 e, provided by the Consortium for Functional Glycomics.
12 Core H of the NIH Consortium for Functional Glycomics.
13 developed a general strategy termed shotgun glycomics.
14 oviding a needed advancement in the field of glycomics.
15 on, such as in proteomics, metabolomics, and glycomics, a final mass calibration is possible for ever
16 ification (GlyQ-IQ) is a biologically guided glycomics analysis tool for identifying N-glycans in liq
19 lycan array of the Consortium for Functional Glycomics and binding and their release from erythrocyte
22 oresis-mass spectrometry methods (CE-MS) for glycomics and glycoproteomics is limited by the lack of
24 tasets, namely epigenomics, transcriptomics, glycomics and metabolomics, with a comprehensive set of
28 er define these responses, we used a shotgun glycomics approach in which N-glycans from schistosome e
33 tagging approach for producing high-quality glycomics compositional profiling and fine structural an
36 ution into constituent pieces is critical in glycomics data sets because chromatographic peaks corres
37 scription Framework (RDF) representation for glycomics data, focused on glycan sequences and related
39 se confidence in structure assignments, most glycomics databases allow storing of only a single type
41 ical strategy, Dual Reactions for Analytical Glycomics (DRAG), to quantitatively compare neutral and
44 ty of hPIV2 on the Consortium for Functional Glycomics' glycan array and found that hPIV2 binds to ol
45 genomics and proteomics, the advancement of glycomics has faced unique challenges in the pursuit of
46 up of bioinformatics experts in the field of glycomics have worked together to create a standard Reso
47 oteomics, transcriptomics, metabolomics, and glycomics--have a strong record in several areas of biom
50 urdle in studying glycans through functional glycomics is the lack of methods to release glycans from
53 odologies that facilitate the integration of glycomics measurements together with other 'omics data s
55 his work presents the first application of a glycomics platform for the quantification of CS oligosac
57 nology will enable quantitative, comparative glycomics profiling of extended GAG oligosaccharide doma
59 roved methods are combined together with the Glycomics Quintavariate Informed Quantification (GlyQ-IQ
61 ems biology methods in the emerging field of glycomics requires the collection and integration of gly
67 wer contemporary questions in proteomics and glycomics, specifically with respect to biological noise
69 compounds are likely valuable for functional glycomics studies to unveil new functions of both glycan
70 glycoproteins highly demanded for functional glycomics studies, but its generality relies on the avai
74 work represents a significant improvement in glycomics technology and sets the stage for the systemat
79 ic parameters, gene-based detection methods, glycomics, use of peptide markers, electrophoresis, isoe
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