Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph
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| Publicado en: | Scientific Data vol. 12, no. 1 (2025), p. 1100 |
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| Otros Autores: | , , , , |
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Nature Publishing Group
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 2052-4463 | ||
| 024 | 7 | |a 10.1038/s41597-025-05183-6 |2 doi | |
| 035 | |a 3226282023 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 274935 |2 nlm | ||
| 100 | 1 | |a Bueckle, Andreas |u Luddy School of Informatics, Computing, and Engineering, Indiana University, Department of Intelligent Systems Engineering, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) | |
| 245 | 1 | |a Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph | |
| 260 | |b Nature Publishing Group |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The Human Reference Atlas (HRA) for the healthy, adult body is being developed by a team of international, interdisciplinary experts across 25+ consortia. It provides standard terminologies and data structures for describing specimens, biological structures, and spatial positions of experimental datasets and ontology-linked reference anatomical structures (ASs), cell types (CTs), and biomarkers (Bs). This paper introduces the HRA Knowledge Graph (KG) as central data resource for the HRA, supporting cross-scale, biological queries to Resource Description Framework graphs using SPARQL. In May 2025, the HRA KG v2.2 covers 71 organs with 5,800 ASs, 2,268 CTs, 2,531 Bs; it has 10,064,033 nodes, 171,250,177 edges, and a size of 125.84 GB. The HRA KG comprises 13 types of Digital Objects (DOs) using the Common Coordinate Framework Ontology to standardize core concepts and relationships across DOs. This work (1) provides data and code for HRA KG construction; (2) details HRA KG deployment as Linked Open Data; and (3) illustrates HRA KG usage via application programming interfaces, user interfaces, and data products. A companion website is at <ext-link xlink:href="https://cns-iu.github.io/hra-kg-supporting-information" ext-link-type="uri">cns-iu.github.io/hra-kg-supporting-information</ext-link>. | |
| 653 | |a Biomarkers | ||
| 653 | |a Open data | ||
| 653 | |a Metadata | ||
| 653 | |a Semantic web | ||
| 653 | |a Application programming interface | ||
| 653 | |a Linked Data | ||
| 653 | |a Resource Description Framework-RDF | ||
| 653 | |a Ontology | ||
| 653 | |a Knowledge | ||
| 653 | |a Interfaces | ||
| 653 | |a Semantics | ||
| 700 | 1 | |a Herr, Bruce W. |u Luddy School of Informatics, Computing, and Engineering, Indiana University, Department of Intelligent Systems Engineering, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) | |
| 700 | 1 | |a Hardi, Josef |u Stanford University, Stanford Center for Biomedical Informatics Research, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) | |
| 700 | 1 | |a Quardokus, Ellen M. |u Luddy School of Informatics, Computing, and Engineering, Indiana University, Department of Intelligent Systems Engineering, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) | |
| 700 | 1 | |a Musen, Mark A. |u Stanford University, Stanford Center for Biomedical Informatics Research, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) | |
| 700 | 1 | |a Börner, Katy |u Luddy School of Informatics, Computing, and Engineering, Indiana University, Department of Intelligent Systems Engineering, Bloomington, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) | |
| 773 | 0 | |t Scientific Data |g vol. 12, no. 1 (2025), p. 1100 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3226282023/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3226282023/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3226282023/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |