PB-DiffHiC: a statistical framework for detecting differential chromatin interactions from high resolution pseudo-bulk Hi-C data.

ABSTRACT: Single-cell Hi-C (scHi-C) data provide unprecedented opportunities for analyzing differential chromatin interactions, essential for understanding genome structure-function relationships across various biological conditions. However, biologically meaningful differential chromatin interaction analysis at high resolution (e.g., 10 Kb) remains challenging due to the inherent sparsity of scHi-C data. Existing approaches typically rely on single cell imputation, which is computationally intensive and lacks validation, or apply conventional bulk Hi-C tools to pseudo-bulk matrices aggregated from individual cells. The sparsity of high-resolution pseudo-bulk data limits the effectiveness of bulk-oriented methods. Here, we present PB-DiffHiC, an optimized parametric statistical framework that direct

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC12512566 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature