collaborators

5 papers

q-bio.QM2025

Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery

Katherina Cortes, Daniel Korn, Sarah Gehrke +12

Research done using model organisms has been fundamental to the biological understanding of human genes, diseases and phenotypes. Model organisms provide tractable systems for expe…

q-bio.OT2025

Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective

Harry Caufield, Satrajit Ghosh, Sek Wong Kong +6

AI-readiness describes the degree to which data may be optimally and ethically used for subsequent AI and Machine Learning (AI/ML) methods, where those methods may involve some com…

cs.DB2025

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX

Daniel R Korn, Patrick Golden, Aaron Odell +10

Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancie…

q-bio.OT2025

Improving Biomedical Knowledge Graph Quality: A Community Approach

Katherina G Cortes, Shilpa Sundar, Sarah Gehrke +13

Biomedical knowledge graphs (KGs) are widely used across research and translational settings, yet their design decisions and implementation are often opaque. Unlike ontologies that…

cs.CL2024

CurateGPT: A flexible language-model assisted biocuration tool

Harry Caufield, Carlo Kroll, Shawn T O'Neil +10

Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validatin…