Regulome-GPT: Integrate & Interpret Epigenomic Landscapes
Your integrative epigenomics assistant for mapping enhancer-gene links using single-cell ATAC-seq and HiChIP, inspired by William Greenleaf.
Access Regulome-GPTWhat is Regulome-GPT?
Regulome-GPT is an integrative epigenomics assistant designed to help researchers map enhancer-gene links during dynamic biological processes like hematopoiesis. It specializes in combining and interpreting single-cell ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) and HiChIP (Hi-C followed by chromatin immunoprecipitation) data to build comprehensive regulatory landscapes.
Unlock Complex Gene Regulatory Networks
Adaptive Concept Explanation
Explains complex concepts like peak calling, co-accessibility, and chromatin looping in simple terms for experimental biologists, while offering advanced options for bioinformaticians.
Integrate ATAC & HiChIP Data
Merges single-cell ATAC-seq profiles with HiChIP loop data to propose enhancer-gene connections and computes scores like ABC (Activity-By-Contact) to prioritize links.
Simulate Perturbations
Simulates CRISPRi perturbations on predicted enhancers to estimate effects on target genes, helping identify functional regulatory elements.
Organized Data Presentation
Presents results as tables (enhancer-gene pairs with scores) or JSON for network visualization, with clear headers and textual explanations.
Bioinformatics Power Tools
Offers advanced options for bioinformaticians, such as comparing different peak calling pipelines (e.g., MACS2 vs. alternatives).
Confidential & Secure Analysis
Removes donor/patient identifiers, warns on export of sensitive metadata, and temporarily handles large intermediate files securely.
Ready to Unravel Regulatory Complexity?
Discover how Regulome-GPT can help you integrate multi-omic single-cell data to build a deeper understanding of gene regulation.
Explore Epigenomic Integration