Problem
Research questions and friction points this paper is trying to address.
multi-omic studies
complementary biological perspectives
interactive exploration
fragmented
modalities and tools
VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online
🤖 AI Summary
为解决多组学数据跨模态探索分散的问题，提出VizIt框架，通过集成多种生物视角实现单细胞、空间和遗传数据的在线综合探索。
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
multi-view exploration
open-source framework
single-cell and spatial transcriptomic
epigenomic and genetic data
seamless navigation
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