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<p>Nuclear DNA is organized into a three-dimensional (3D) structure that impacts critical cellular processes. However, the integrative analysis of 3D structure (measured by high-throughput chromosome conformation capture (Hi-C)) and associated epigenomic regulation (for example, assay for transposase-accessible chromatin using sequencing (ATAC−seq) and chromatin immunoprecipitation followed by sequencing (ChIP−seq)) remains challenging due to the differences in data format, resolution and analytical pipelines. Here we propose HiCFoundation, a foundation model trained on massive Hi-C data for integrative analysis linking chromatin structure to downstream regulatory function. The model achieves state-of-the-art performance and generalizability across species on various 3D genome analysis, including reproducibility analysis, resolution enhancement and loop detection. Additionally, HiCFoundation can predict various epigenomic activities from Hi-C to reveal how 3D structure links to regulatory function. Finally, HiCFoundation can easily adapt to single-cell Hi-C data. HiCFoundation thus offers a general, interpretable framework for studying the 3D genome and its functional roles across cell types and species.</p>

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A generalizable Hi-C foundation model for chromatin architecture, single-cell and multiomics analysis across species

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Xiao Wang,
  • Yuanyuan Zhang,
  • Suhita Ray,
  • Anupama Jha,
  • Tangqi Fang,
  • Shengqi Hang,
  • Sergei Doulatov,
  • William S. Noble,
  • Sheng Wang

摘要

Nuclear DNA is organized into a three-dimensional (3D) structure that impacts critical cellular processes. However, the integrative analysis of 3D structure (measured by high-throughput chromosome conformation capture (Hi-C)) and associated epigenomic regulation (for example, assay for transposase-accessible chromatin using sequencing (ATAC−seq) and chromatin immunoprecipitation followed by sequencing (ChIP−seq)) remains challenging due to the differences in data format, resolution and analytical pipelines. Here we propose HiCFoundation, a foundation model trained on massive Hi-C data for integrative analysis linking chromatin structure to downstream regulatory function. The model achieves state-of-the-art performance and generalizability across species on various 3D genome analysis, including reproducibility analysis, resolution enhancement and loop detection. Additionally, HiCFoundation can predict various epigenomic activities from Hi-C to reveal how 3D structure links to regulatory function. Finally, HiCFoundation can easily adapt to single-cell Hi-C data. HiCFoundation thus offers a general, interpretable framework for studying the 3D genome and its functional roles across cell types and species.