Vitessce
Vitessce enables integrative visualization of millions of data points across multiple coordinated views for exploration of multimodal and spatially resolved single-cell data.
Key Features:
- Multimodal data integration: Simultaneously visualizes high-dimensional transcriptomic, proteomic, genome-mapped and imaging data types.
- Spatially resolved data support: Displays spatially resolved transcripts and cell segmentations.
- Coordinated multiple views: Links multiple visualization views for synchronized exploration of data.
- Scalable visualization: Handles millions of data points including cell-type annotations and gene expression quantities.
Scientific Applications:
- Single-cell data exploration: Enables visual analysis of single-cell multiomics datasets with spatial resolution.
- Spatial transcriptomics: Supports visualization of spatially resolved transcriptomic data in tissue contexts.
- Multimodal data analysis: Facilitates integrative analysis of combined transcriptomic, proteomic and imaging measurements.
Methodology:
The sources do not provide explicit computational methodology details beyond web-based interactive visualization with multiple coordinated views.
Topics
Details
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026
Operations
Publications
Links
Repository
https://pypi.org/project/vitessce