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PreprintCC BY 4.0arXiv

VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online

  • Chenhang Christopher Zhang
  • Yanqing Lou
  • Jie Yuan
  • Mingming Lu
  • Jacob Parker
  • Himanshu Chintalapudi
  • Zechuan Lin
  • Clemens R. Scherzer
  • Yuxuan Hu
  • Ruifeng Hu
  • Xianjun Dong
Open at sourcePDFDOICite

Abstract

Multi-omic studies increasingly require data to be examined from complementary biological perspectives, yet interactive exploration remains fragmented across modalities and tools. We present VizIt, an open-source framework for multi-view exploration of single-cell and spatial transcriptomic, epigenomic and genetic data. VizIt connects gene-, cell type-, condition-, spatial-, genomic region- and variant-centered views, enabling seamless navigation across biological perspectives. We demonstrate VizIt through the Parkinson's Cell Atlas, a customizable interactive multi-omic resource.

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Cite

BibTeXRIS
BibTeX
@misc{zhang2026vizit,
  title = {{VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online}},
  author = {Chenhang Christopher Zhang and Yanqing Lou and Jie Yuan and Mingming Lu and Jacob Parker and Himanshu Chintalapudi and Zechuan Lin and Clemens R. Scherzer and Yuxuan Hu and Ruifeng Hu and Xianjun Dong},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.04658},
  eprint = {2609.04658},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.04658},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online
AU  - Chenhang Christopher Zhang
AU  - Yanqing Lou
AU  - Jie Yuan
AU  - Mingming Lu
AU  - Jacob Parker
AU  - Himanshu Chintalapudi
AU  - Zechuan Lin
AU  - Clemens R. Scherzer
AU  - Yuxuan Hu
AU  - Ruifeng Hu
AU  - Xianjun Dong
PY  - 2026
DA  - 2026/09/04
PB  - arXiv
DO  - 10.48550/arxiv.2609.04658
UR  - https://arxiv.org/abs/2609.04658
AB  - Multi-omic studies increasingly require data to be examined from complementary biological perspectives, yet interactive exploration remains fragmented across modalities and tools. We present VizIt, an open-source framework for multi-view exploration of single-cell and spatial transcriptomic, epigenomic and genetic data. VizIt connects gene-, cell type-, condition-, spatial-, genomic region- and variant-centered views, enabling seamless navigation across biological perspectives. We demonstrate VizIt through the Parkinson's Cell Atlas, a customizable interactive multi-omic resource.
ER  -