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.