Episode 06: Integrating Biomedical Knowledge at Scale with Petagraph

Description

In this episode, Allissa Dillman and Ben Stear discuss knowledge graphs and why they are useful. Tune in as they explore how these tools integrate vast and diverse datasets into unified, queryable networks that support discovery and predictive modeling. Ben shares how knowledge graphs like Petagraph are advancing FAIR data principles, enabling new research insights, and laying the foundation for future integration with large language models.

More information on Petagraph can be found on the project GitHub or in the recently published article: Petagraph: a large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data.  

Guest Bio

Ben Stear is a bioinformatics scientist at Children’s Hospital of Philadelphia. His recent work has focused on large data integration and analysis using graphs. He is also working on a PhD at Drexel University focusing on how to detect pleiotropy using graph machine learning and graph analysis.

Learn more about the CFDE podcast here (https://orau.org/cfde-trainingcenter/podcast.html).