The project aims to refine and populate the biomarker data model through a close and dynamic external partnership with the NCI-supported Early Detection Research Network (EDRN) with built-in community input mechanisms.

The project aims to develop a transformative cloud-based integrative visualization platform to enable interactive exploration of multimodal biomedical data, using large omics and imaging datasets sourced from CFDE DCCs and external consortia.

This project aims to significantly enhance our understanding of the genetic links between childhood cancers and structural birth defects, which are among the leading causes of pediatric morbidity and mortality.

The project aims to define the Human Metabotype, which is human metabolic status defined through genetic, diet, environmental exposure, and exercise perturbations.

The partnership aims to support functional genomics towards fundamental biological systems understanding and the development of new diagnostics and therapies. This includes supporting data integration, reusing, and building new capabilities for interrogating and understanding complex biological systems and cell networks.

This partnership assembles a knowledge graph database by integrating assertions from across the CFDE DCCs to enable cross-DCC knowledge discovery.

This project developed methods to harmonize gene, protein, and variant identifiers across the CF DCCs by integrating DCC APIs and gene landing pages.

The Communication and Outreach to Maximize Product Adoption (COMPA) aims to maximize CFDE product adoption by carrying out market research, dissemination, and user recruitment for CFDE products.

The Biomarker Working Group (BWG) will produce a common, harmonized, integrated, biomarker definition and data model framework (all participating DCCs).

This project develops an interactive workflow engine that draws knowledge from across CF DCCs using their APIs.

This project developed a knowledge graph that connects genes, birth defects, and drugs to discover reproductive toxicity potential for preclinical compounds.

This project produces a standarized RNA-seq alignment pipeline for the CFDE to increase the FAIRness and interoperability of RNA datasets across the CFDE.

The goal of the CLOVoc project was to improve the querying clinical data across CF datasets enabling secondary analyses that drive insights about health and disease.

The project focuses on gene regulatory elements as the key “stepping stone” for connecting genes, pathways, and regulators in tissue-specific, developmental, and disease contexts.

The goal of the Kids First CFDE “Cloud Workspace Partnership Pilot” is to understand valuable data, tool and research use cases of other CFDE DCCs and collaboratively pilot integration of data and tool usage in the CAVATICA cloud workspace.