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GlyGen data model and processing workflow
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320628/ https://www.ncbi.nlm.nih.gov/pubmed/32324859 http://dx.doi.org/10.1093/bioinformatics/btaa238 |
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author | Kahsay, Robel 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 Vasudev, Preethi Garcia, Leyla Edwards, Nathan Zhang, Wenjin Natale, Darren A Ross, Karen Aoki-Kinoshita, Kiyoko F Campbell, Matthew P York, William S Mazumder, Raja |
author_facet | Kahsay, Robel 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 Vasudev, Preethi Garcia, Leyla Edwards, Nathan Zhang, Wenjin Natale, Darren A Ross, Karen Aoki-Kinoshita, Kiyoko F Campbell, Matthew P York, William S Mazumder, Raja |
author_sort | Kahsay, Robel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7320628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73206282020-07-01 GlyGen data model and processing workflow Kahsay, Robel 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 Vasudev, Preethi Garcia, Leyla Edwards, Nathan Zhang, Wenjin Natale, Darren A Ross, Karen Aoki-Kinoshita, Kiyoko F Campbell, Matthew P York, William S Mazumder, Raja Bioinformatics Applications Notes 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. Oxford University Press 2020-06-15 2020-04-23 /pmc/articles/PMC7320628/ /pubmed/32324859 http://dx.doi.org/10.1093/bioinformatics/btaa238 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Applications Notes Kahsay, Robel 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 Vasudev, Preethi Garcia, Leyla Edwards, Nathan Zhang, Wenjin Natale, Darren A Ross, Karen Aoki-Kinoshita, Kiyoko F Campbell, Matthew P York, William S Mazumder, Raja GlyGen data model and processing workflow |
title | GlyGen data model and processing workflow |
title_full | GlyGen data model and processing workflow |
title_fullStr | GlyGen data model and processing workflow |
title_full_unstemmed | GlyGen data model and processing workflow |
title_short | GlyGen data model and processing workflow |
title_sort | glygen data model and processing workflow |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320628/ https://www.ncbi.nlm.nih.gov/pubmed/32324859 http://dx.doi.org/10.1093/bioinformatics/btaa238 |
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