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dc.contributor.authorCampbell, Matthew P.
dc.contributor.authorRoyle, Louise
dc.contributor.authorRudd, Pauline M.
dc.date.accessioned2017-09-13T01:47:30Z
dc.date.available2017-09-13T01:47:30Z
dc.date.issued2015
dc.identifier.issn1064-3745
dc.identifier.doi10.1007/978-1-4939-2343-4_2
dc.identifier.urihttp://hdl.handle.net/10072/346265
dc.description.abstractThe 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom17
dc.relation.ispartofpageto28
dc.relation.ispartofjournalMethods in Molecular Biology
dc.relation.ispartofvolume1273
dc.subject.fieldofresearchBiochemistry and Cell Biology not elsewhere classified
dc.subject.fieldofresearchOther Chemical Sciences
dc.subject.fieldofresearchBiochemistry and Cell Biology
dc.subject.fieldofresearchcode060199
dc.subject.fieldofresearchcode0399
dc.subject.fieldofresearchcode0601
dc.titleGlycobase and autoGU: Resources for interpreting HPLC-glycan data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorCampbell, Matthew


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