dc.contributor.author | Kahsay, Robel | |
dc.contributor.author | Vora, Jeet | |
dc.contributor.author | Navelkar, Rahi | |
dc.contributor.author | Mousavi, Reza | |
dc.contributor.author | Fochtman, Brian C | |
dc.contributor.author | Holmes, Xavier | |
dc.contributor.author | Pattabiraman, Nagarajan | |
dc.contributor.author | Ranzinger, Rene | |
dc.contributor.author | Mahadik, Rupali | |
dc.contributor.author | Williamson, Tatiana | |
dc.contributor.author | Kulkarni, Sujeet | |
dc.contributor.author | Agarwal, Gaurav | |
dc.contributor.author | Martin, Maria | |
dc.contributor.author | Campbell, Matthew P | |
dc.contributor.author | et al. | |
dc.date.accessioned | 2020-09-08T23:30:16Z | |
dc.date.available | 2020-09-08T23:30:16Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1367-4803 | |
dc.identifier.doi | 10.1093/bioinformatics/btaa238 | |
dc.identifier.uri | http://hdl.handle.net/10072/397207 | |
dc.description.abstract | Glycoinformatics 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.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Oxford University Press | |
dc.relation.ispartofpagefrom | 3941 | |
dc.relation.ispartofpageto | 3943 | |
dc.relation.ispartofissue | 12 | |
dc.relation.ispartofjournal | Bioinformatics | |
dc.relation.ispartofvolume | 36 | |
dc.subject.fieldofresearch | Mathematical sciences | |
dc.subject.fieldofresearch | Biological sciences | |
dc.subject.fieldofresearchcode | 49 | |
dc.subject.fieldofresearchcode | 31 | |
dc.subject.keywords | Science & Technology | |
dc.subject.keywords | Life Sciences & Biomedicine | |
dc.subject.keywords | Physical Sciences | |
dc.subject.keywords | Biochemical Research Methods | |
dc.title | GlyGen data model and processing workflow | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dcterms.bibliographicCitation | Kahsay, 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.dateAccepted | 2020-04-16 | |
dcterms.license | http://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2020-09-08T23:11:55Z | |
dc.description.version | Version 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.hasfulltext | Full Text | |
gro.griffith.author | Campbell, Matthew | |