Full datasets that can be used with our repository

  1. tissue pcHi-C (282MB)
  2. tissue Hi-C (221MB)
  3. blood cell pcH-C (63MB)

Directed GRCh38 graphs

  1. tissue pcHi-C GRCh38, directed (290MB)
  2. tissue Hi-C GRCh38 (214MB)

References

  1. Jung, I., Schmitt, A., et al.: A compendium of promoter-centered long-range chromatin interactions in the human genome. Nature Genetics 51(10), 1442-1449 (2019). https://doi.org/10.1038/s41588-019-0494-8
  2. Kim, K., Jang, I., et al.: 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome. Nucleic Acids Research 49(D1), D38-D46 (2021). https://doi.org/10.1093/nar/gkaa1078
  3. Javierre, B.M., Sewitz, S., et al.: Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters. Cell 167(5), 1369-1384.e19 (2016). https://doi.org/10.1016/j.cell.2016.09.037
  4. Schwarzer W et al., Two independent modes of chromatin organization revealed by cohesin removal, in Nature, vol. 551, no. 7678, pp. 51–56, 2017. [Online] Available: https://doi.org/10.1038/nature24281

Other files for calculating enrichment in chromatin annotations

  1. Tissue Hi-C ZIPs
  2. Tissue PCHi-C ZIPs
  3. PCHiC_peak_matrix_cutoff5.txt
  4. RegBuild_BLUEPRINT_annotations.txt
  5. 18states.all.mnemonics.bedFiles [copy from https://egg2.wustl.edu/roadmap/web_portal/chr_state_learning.html]
  6. Normal_HiC(hg19,3DIV_legacy)_selection [from http://3div.kr/download]
  7. pcHi-C(hg19)

    8. Assigning additional data to Hi-C graphs

    This data is for https://github.com/IMCS-Bioinformatics/HiCCliqueGraphs/tree/main/processDifferentDB

    1. processDifferentDB ZIP

    Hi-C datasets seperated by chromosome

    This archive contains 4 Hi-C datasets in the format used in our repositories, with seperate files for each chromsome

    1. Hi-C seperated by chr ZIP