title: GlycoBase and autoGU: resources for interpreting HPLC-glycan data.
abstract: The biological relevance of protein glycosylation has made glycomics, the comprehensive study to identify all glycans in an organism, indispensable in many research fields. Determining the structure and functional relationship of glycoproteins requires the comprehensive characterization of glycan structures by a range of analytical methods. High performance liquid chromatography (HPLC) is a well-established technology commonly used for the complete structural elucidation of N- and O-linked glycans; however, the analysis of data is a major bottleneck and robust bioinformatic solutions are required. This chapter describes the availability of databases and tools, GlycoBase and autoGU developed in conjunction with the EUROCarbDB initiative, to assist the interpretation of HPLC-glycan data collections.
authors.affiliation: Biomolecular Frontiers Research Centre, Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia, matthew.campbell@mq.edu.au.
authors.forename: Matthew P
authors.initials: MP
authors.lastname: Campbell
authors.forename: Lousie
authors.initials: L
authors.lastname: Royle
authors.forename: Pauline M
authors.initials: PM
authors.lastname: Rudd
mesh_terms: D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D019295:Computational Biology; D016208:Databases, Factual; D011134:Polysaccharides / Q000032:analysis*; D012984:Software; D013223:Statistics as Topic
chemical_list: D011134:Polysaccharides