Vitessce: integrative visualization of multimodal and spatially resolved single-cell data.
Where this comes from
- Record sourced from PubMed, PMID 39333268.
- Also identified by DOI 10.1038/s41592-024-02436-x and PMC identifier 11725496.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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 .
Medical subject headings
- Single-Cell Analysis
- Software