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dc.contributor.authorKahsay, Robel
dc.contributor.authorVora, Jeet
dc.contributor.authorNavelkar, Rahi
dc.contributor.authorMousavi, Reza
dc.contributor.authorFochtman, Brian C
dc.contributor.authorHolmes, Xavier
dc.contributor.authorPattabiraman, Nagarajan
dc.contributor.authorRanzinger, Rene
dc.contributor.authorMahadik, Rupali
dc.contributor.authorWilliamson, Tatiana
dc.contributor.authorKulkarni, Sujeet
dc.contributor.authorAgarwal, Gaurav
dc.contributor.authorMartin, Maria
dc.contributor.authorCampbell, Matthew P
dc.contributor.authoret al.
dc.date.accessioned2020-09-08T23:30:16Z
dc.date.available2020-09-08T23:30:16Z
dc.date.issued2020
dc.identifier.issn1367-4803
dc.identifier.doi10.1093/bioinformatics/btaa238
dc.identifier.urihttp://hdl.handle.net/10072/397207
dc.description.abstractGlycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access interfaces featuring programmatic use case example queries based on specific biological questions. The GlyGen project is a data integration, harmonization and dissemination project for carbohydrate and glycoconjugate-related data retrieved from multiple international data sources including UniProtKB, GlyTouCan, UniCarbKB and other key resources.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofpagefrom3941
dc.relation.ispartofpageto3943
dc.relation.ispartofissue12
dc.relation.ispartofjournalBioinformatics
dc.relation.ispartofvolume36
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode31
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsBiochemical Research Methods
dc.titleGlyGen data model and processing workflow
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationKahsay, R; Vora, J; Navelkar, R; Mousavi, R; Fochtman, BC; Holmes, X; Pattabiraman, N; Ranzinger, R; Mahadik, R; Williamson, T; Kulkarni, S; Agarwal, G; Martin, M; Campbell, MP; et al., GlyGen data model and processing workflow, Bioinformatics, 2020, 36 (12), pp. 3941-3943
dcterms.dateAccepted2020-04-16
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-09-08T23:11:55Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorCampbell, Matthew


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