PreprintCC BYbioRxiv
U-Chrom: a unified framework for single-cell and spatial 3D genome data
- 1Stanford University
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.
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BibTeX
@misc{zhang2026uchrom,
title = {{U-Chrom: a unified framework for single-cell and spatial 3D genome data}},
author = {L. Zhang and Y. Chen and Q. Zhong and W. Xu},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.18.759996},
url = {https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - U-Chrom: a unified framework for single-cell and spatial 3D genome data
AU - L. Zhang
AU - Y. Chen
AU - Q. Zhong
AU - W. Xu
PY - 2026
DA - 2026/10/18
PB - bioRxiv
DO - 10.64898/2026.10.18.759996
UR - https://www.biorxiv.org/content/10.64898/2026.10.18.759996v1
AB - 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.
ER -