The CFDE has funded collaborative DCC partnership projects that will develop approaches and tools to harmonize data and workflows from multiple Common Fund programs enabling cross-dataset analysis. These partnerships are meant to enhance DCC-DCC interactions. In addition, these partnerships aim to demonstrate the utility of their data integration tools and approaches for CF datasets to the broader scientific community.
This project develops an interactive workflow engine that draws knowledge from across CF DCCs using their APIs.
This project developed methods to harmonize gene, protein, and variant identifiers across the CF DCCs by integrating DCC APIs and gene landing pages.
Publication:
10.1093/bioadv/vbac013
This project developed a knowledge graph that connects genes, birth defects, and drugs to discover reproductive toxicity potential for preclinical compounds.
Publication:
10.1038/s43856-023-00329-2