Integrated Visualization Platform for Spatial & Single-Cell Transcriptomics
A web-based tool to visualize, analyze, and download single-cell and spatial transcriptomics data — with interactive exploration of gene expression, clustering, and tissue organization.
1 Overview
The Integrated Visualization Platform for Spatial & Single-Cell Transcriptomics is a web-based tool designed to help researchers visualize, analyze, and download single-cell and spatial transcriptomics data. Our platform supports interactive exploration of gene expression patterns, clustering results, and spatial organization in tissues.
Key Features
Interactive Data Visualization
Explore UMAP, t-SNE, and spatial maps with gene expression overlays.
Multi-Tool Gene Visualization
Compare gene expression using violin plots, heatmaps, and dot plots.
Data Download
Export processed datasets in multiple formats for further analysis.
Literature Integration
Link visualizations to relevant publications for easy citation.
2 Data Visualization
2.1 Dimensionality Reduction Plots
- Supported methods: UMAP, t-SNE
- Color by: clusters, sample group, metadata (e.g., cell type, condition)
2.2 Gene Expression Visualization
| Plot Type | Description |
|---|---|
| Violin plots | Compare gene expression across clusters. |
| Heatmaps | Compare gene expression levels across different cell clusters. |
| Dot plots | Show gene expression frequency vs. average expression. |
| Spatial gene maps | Overlay gene expression on tissue images. |
High-resolution images are available in .png and .svg formats.
2.3 Open the Visualization Tools
Jump straight into an interactive viewer to explore the datasets:
3 Data Download
3.1 Available Download Formats
Processed Data
Others
3.2 How to Download
- Browse the datasets on the Download page.
- Select a dataset and click Download.
4 Literature & Citation
4.1 Linked Publications
- Each dataset is associated with its original research article.
- Click How to Cite to generate a BibTeX citation.
4.2 How to Cite This Platform
If you use our platform in your work, please cite: