GlyGen data model and processing workflow.

Autor:	Kahsay R; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Vora J; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Navelkar R; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Mousavi R; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Fochtman BC; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Holmes X; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Pattabiraman N; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA., Ranzinger R; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Mahadik R; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Williamson T; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Kulkarni S; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Agarwal G; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Martin M; European Bioinformatics Institute, Hinxton CB10 1SD, UK., Vasudev P; European Bioinformatics Institute, Hinxton CB10 1SD, UK., Garcia L; ZB MED Information Centre for Life Sciences, Cologne 50931, Germany., Edwards N; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA., Zhang W; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA., Natale DA; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA., Ross K; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA., Aoki-Kinoshita KF; Faculty of Science and Engineering, Soka University, Tokyo 192-8577, Japan., Campbell MP; Institute for Glycomics Griffith University, Southport QLD 4222, Australia., York WS; Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA., Mazumder R; Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA.
Jazyk:	angličtina
Zdroj:	Bioinformatics (Oxford, England) [Bioinformatics] 2020 Jun 01; Vol. 36 (12), pp. 3941-3943.
DOI:	10.1093/bioinformatics/btaa238
Abstrakt:	Summary: 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. Availability and Implementation: GlyGen web portal is freely available to access at https://glygen.org. The data portal, web services, SPARQL endpoint and GitHub repository are also freely available at https://data.glygen.org, https://api.glygen.org, https://sparql.glygen.org and https://github.com/glygener, respectively. All code is released under license GNU General Public License version 3 (GNU GPLv3) and is available on GitHub https://github.com/glygener. The datasets are made available under Creative Commons Attribution 4.0 International (CC BY 4.0) license. Supplementary Information: Supplementary data are available at Bioinformatics online. (© The Author(s) 2020. Published by Oxford University Press.)
Databáze:	MEDLINE
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