KG-Hub—building and exchanging biological knowledge graphs

MOTIVATION: Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of KGs is lacking. RESULTS: Here we present KG-Hub, a platf...

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Detalles Bibliográficos
Autores principales: Caufield, J Harry, Putman, Tim, Schaper, Kevin, Unni, Deepak R, Hegde, Harshad, Callahan, Tiffany J, Cappelletti, Luca, Moxon, Sierra A T, Ravanmehr, Vida, Carbon, Seth, Chan, Lauren E, Cortes, Katherina, Shefchek, Kent A, Elsarboukh, Glass, Balhoff, Jim, Fontana, Tommaso, Matentzoglu, Nicolas, Bruskiewich, Richard M, Thessen, Anne E, Harris, Nomi L, Munoz-Torres, Monica C, Haendel, Melissa A, Robinson, Peter N, Joachimiak, Marcin P, Mungall, Christopher J, Reese, Justin T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336030/
https://www.ncbi.nlm.nih.gov/pubmed/37389415
http://dx.doi.org/10.1093/bioinformatics/btad418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336030/
https://www.ncbi.nlm.nih.gov/pubmed/37389415
http://dx.doi.org/10.1093/bioinformatics/btad418

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