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Research PaperResearchia:202609.07019

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

Chenhang Christopher Zhang

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 Vi...

Submitted: September 7, 2026Subjects: Biology; Biotechnology

Description / Details

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.


Source: arXiv:2609.04658v1 - http://arxiv.org/abs/2609.04658v1 PDF: https://arxiv.org/pdf/2609.04658v1 Original Link: http://arxiv.org/abs/2609.04658v1

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Submission Info
Date:
Sep 7, 2026
Topic:
Biotechnology
Area:
Biology
Comments:
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