RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine

Abstract Background Biomedical translational science is increasingly using computational reasoning on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome, DrugBank, and SMPDB in order to facilitate discovery of new therapeutic targets and modalities. The NCATS Biomedical D...

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Bibliographic Details
Main Authors: E. C. Wood, Amy K. Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Bioinformatics
Subjects:
Knowledge graph
Biomedical knowledge integration
Semantic normalization
Online Access:https://doi.org/10.1186/s12859-022-04932-3

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