发表机构
Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network; Adams Center for Parkinson’s Disease Research, Yale School of Medicine; Department of Neurology, Yale School of Medicine; Concord Academy; College of Engineering, Northeastern University; Department of Genetics, Yale School of Medicine; Department of Neuroscience, Yale School of Medicine（帕金森病科学对齐协作研究网络; 耶鲁医学院亚当斯帕金森病研究中心; 耶鲁医学院神经学系; 康科德学院; 东北大学工程学院; 耶鲁医学院遗传学系; 耶鲁医学院神经科学系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对多组学研究中交互式探索碎片化的问题，提出开源多视图框架VizIt，连接多类核心视图实现跨视角无缝导航，并以帕金森细胞图谱演示其应用。
AI 中文摘要
多组学研究日益需要从互补的生物学视角检查数据，但交互式探索在不同模态和工具间仍呈碎片化。我们提出VizIt，一个用于多组学（单细胞转录组、空间转录组、表观基因组及遗传数据）多视图探索的开源框架，它连接以基因、细胞类型、条件、空间、基因组区域及变异为中心的视图，实现生物学视角间的无缝导航，我们通过帕金森细胞图谱（一个可定制的交互式多组学资源）演示了VizIt。
英文摘要
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.
