# inter3D **Repository Path**: hi-c_baseline/inter3D ## Basic Information - **Project Name**: inter3D - **Description**: https://github.com/bm2-lab/inter3D - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-03-11 - **Last Updated**: 2026-03-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Inter3d: A ready-to-use pipeline for CTCF-mediated interactome identification with 3D genomics and high-throughput sequencing ------------- ## Data required - samples/cells of two or more conditions. - RNA-seq, HiC and CTCF ChIP-seq, ATAC-seq or DNase-seq required. - H3K4me3 and H3K27ac ChIP-seq. (optional) ## Inter3d biology mechanism ![inter3d mechanism](mech.png) ## Inter3d workflow - **Before Inter3d** 1. Preprocessing RNA-seq - Mapping and gene quantification. (not included) - DEG identification.(not included) 2. Preprocessing ChIP-seq and ATAC-seq - Mapping to reference genome.(not included) - Consensus peak calling.(not included) 3. Preprocessing Hi-C. ** We recommend using ENCODE uniform processing pipeline for your raw data preprocessing. [https://www.encodeproject.org/pipelines/](https://www.encodeproject.org/pipelines/) - **Using Inter3d** 4. Identify CTCF-mediated TAD alterations. 5. Identify candidate genes regulated by CTCF binding. 6. Find Enhancer-Promoter pairs regulated by CTCF binding. ## Inter3d quick guide - Input files: - DEG list with Log2FoldChange of Case1/Case2 - ATAC-seq/DNase-seq peaks in Case1 and Case2 - CTCF ChIP-seq peaks in Case1 and Case2 - Genome-wide TAD boundary of Case1 and Case2 - Output files: - Genome coordinates of candidate enhancers and linked promoters. - for etc: ctcf_gain_case1_high_gene_CRE.xls - Genome coordinates of candidate CTCF binding sites. - for etc: ctcf_gain_case1_high_gene.xls **Run Inter3d with demo dataset used in manuscript** ```bash cd demo bash run_demo.sh ``` Reference: Inter3D: Capture of TAD Reorganization Endows Variant Patterns of Gene Transcription. Genomics, Proteomics & Bioinformatics. 2024 (online)