{
  "abstract": "Single-cell Hi-C, spatial Hi-C and chromatin tracing measure the same genomes in incompatible formats. ChromData, one data model, indexes all three by cell and genomic bin; an open-source toolkit, linked browser and 22-dataset atlas build on it. Applied to ten mouse brain datasets of all three assays, the same calls rank cell types alike by short- over long-range proximity, and contact-based reconstructions largely place cell-type differences where imaging does.",
  "abstract_shown": true,
  "affiliations": [
    "Stanford University"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "L. Zhang"
    },
    {
      "name": "Y. Chen"
    },
    {
      "name": "Q. Zhong"
    },
    {
      "affs": [
        0
      ],
      "name": "W. Xu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9y9qd28g381eq.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.18.759996",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1.full",
  "id": "9y9qd28g381eq",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1312|Genomics and Chromatin Dynamics"
    ]
  ],
  "openalex": "W7222948013",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9y9qd28g381eq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:28:31Z",
      "native_id": "10.64898/2026.10.18.759996",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "U-Chrom: a unified framework for single-cell and spatial 3D genome data",
  "title_text": "U-Chrom: a unified framework for single-cell and spatial 3D genome data",
  "type": "preprint",
  "updated_at": "2026-10-30T12:28:31Z",
  "url": "https://research.draconitic.com/paper/9y9qd28g381eq",
  "venue": "bioRxiv",
  "versions": []
}