CTCFexplorer is a curated data resource encompassing 2,097 high-quality CTCF ChIP-seq datasets from NCBI GEO across 397 human cell types. We identified 531,851 high-confidence CTCF binding sites in the human genome. Among those, 24,614 sites were characterized as constitutive binding sites conserved across cell types. With its systematic approach and user-friendly interface, CTCFexplorer provides an invaluable resource for advancing research in 3D genomics and gene regulation. This framework can be extended to generate similar data resources for other DNA-binding proteins, facilitating broader insights into functional genomics and cancer research.

CTCFexplorer is implemented in Python and developed by the Chongzhi Zang Lab at the University of Virginia.


Search by Chromosomal Coordinate

Search by Gene Symbol

Search by GSM ID

Search by Cell Type

Search by Union ID