Vitessce:多模态和空间分辨单细胞数据的综合可视化。

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Mark S Keller, Ilan Gold, Chuck McCallum, Trevor Manz, Peter V Kharchenko, Nils Gehlenborg
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引用次数: 0

摘要

具有单细胞和空间分辨率的多组学技术使测量数百万个细胞的数千个特征成为可能。然而,同时对高维转录组学、蛋白质组学、基因组图谱和成像数据类型进行可视化分析仍然是一项挑战。在这里,我们介绍了 Vitessce,这是一个基于网络的交互式可视化框架,用于探索多模态和空间分辨单细胞数据。我们展示了数百万个数据点的综合可视化,包括跨多个协调视图的细胞类型注释、基因表达量、空间解析转录本和细胞分割。开源软件见 http://vitessce.io。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vitessce: integrative visualization of multimodal and spatially resolved single-cell data.

Multiomics technologies with single-cell and spatial resolution make it possible to measure thousands of features across millions of cells. However, visual analysis of high-dimensional transcriptomic, proteomic, genome-mapped and imaging data types simultaneously remains a challenge. Here we describe Vitessce, an interactive web-based visualization framework for exploration of multimodal and spatially resolved single-cell data. We demonstrate integrative visualization of millions of data points, including cell-type annotations, gene expression quantities, spatially resolved transcripts and cell segmentations, across multiple coordinated views. The open-source software is available at http://vitessce.io .

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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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