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
GeneSetCart
CFDE GMT Crossing: GTEx Aging Signatures vs MoTrPAC Exercise Gene Sets (Blood)
Aging signatures are gene expression changes linked to aging. To investigate common biological aspects of aging and exercise and identify genes affected by both, the study matched aging signatures from GTEx with MoTrPAC rat endurance training gene sets.
Playbook Workflow Builder
Compounds to Reverse Disease Signatures
Using differential expression signatures from two independent sources, identify and rank Consensus L1000 Small Molecules capable of reversing the expression signatures. We consider a case study involving Aging signatures between GTEx and GEO, drugs proposed should be considered as potential treatments for aging.
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.
Playbook Workflow Builder
Predict Small Molecules that are Likely to Induce Specific Birth Defects
We obtain gene sets from MGI, HPO, GWAS, and PubMed associated with a given birth defect and independently find FDA Approved Drugs from LINCS Chemical Perturbations which on average down regulate the genes in the set.
@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