FEATURED
Cell Surface Targets for Individual Cancer Patients Analyzed with Common Fund Datasets
Given RNA-seq samples from a patient tumor, we screen for targets which are highly expressed in the tumor but lowly expressed across all healthy human tissues in GTEx. Detailed information about the selected target are queried from several DCCs.
FEATURED
Cell Surface Targets for Individual Cancer Patients Analyzed with Common Fund Datasets
Given RNA-seq samples from a patient tumor, we screen for targets which are highly expressed in the tumor but lowly expressed across all healthy human tissues in GTEx. Detailed information about the selected target are queried from several DCCs.
FEATURED
Cell Surface Targets for Individual Cancer Patients Analyzed with Common Fund Datasets
Given RNA-seq samples from a patient tumor, we screen for targets which are highly expressed in the tumor but lowly expressed across all healthy human tissues in GTEx. Detailed information about the selected target are queried from several DCCs.
All Use Cases
Explore different use cases that utilizes data from different CFDE participating programs
Data Distillery Knowledge Graph
MW2Disease
For a specific disease in Metabolomics Workbench, find all IDG and GTEx assertions that may be related to the disease in a specific tissue type.
GeneSetCart
Analysis of Alexander Disease Gene Sets
Alexander disease (AxD) is caused by a GFAP gene mutation, leading to an accumulation of GFAP protein. This excess GFAP leads to Rosenthal fibers (RFs) in astrocytes. We use the G2SG pipeline to analyze gene sets created by comparing gene expression samples obtained from GEO of wild type (WT) or controls to Alexander disease samples.
@CFDE Workbench 2026
The CFDE Workbench is actively being developed and maintained by the CFDE Data Resource Center (DRC).The DRC is funded by OT2OD036435 from the Common Fund at the National Institutes of Health.
The CFDE Workbench is actively being developed and maintained by the CFDE Data Resource Center (DRC).The DRC is funded by OT2OD036435 from the Common Fund at the National Institutes of Health.
@CFDE Workbench 2026