GlyGen data model and processing workflow
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Vora, Jeet
Navelkar, Rahi
Mousavi, Reza
Fochtman, Brian C
Holmes, Xavier
Pattabiraman, Nagarajan
Ranzinger, Rene
Mahadik, Rupali
Williamson, Tatiana
Kulkarni, Sujeet
Agarwal, Gaurav
Martin, Maria
Campbell, Matthew P
et al.
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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.
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Bioinformatics
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36
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12
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© 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.
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Mathematical sciences
Biological sciences
Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Biochemical Research Methods
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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