Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:
- Run on a laptop, on-premise server, cloud VM, or Google App Engine
- View spatial transcriptomics data overlaid on an image
- Share the current visualization state in a URL
- Share datasets securely with collaborators
- Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression
- Explore complete differential expression results generated by Scanpy or Pegasus/Cumulus
- Interactively create and share “AND” or “OR” filters
- Collaboratively annotate cell types in real time
- Quickly load multiple features from predefined lists
- Explore multiple features and embeddings simultaneously
- Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools
- Save publication quality images
- Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points
- Visualize datasets in h5ad, loom, Seurat, or STAR-Fusion formats
Install the package:
pip install cirrocumulus
Launch cirrocumulus via the command line:
cirro launch <path_to_dataset>
- Datasets can be provided in h5ad, loom, Seurat, or STAR-Fusion formats
- Launch accepts more than one dataset to enable quick dataset switching or to combine modalities (e.g gene fusions and expression) stored in separate files.
- Predefined marker lists can be provided in JSON format (see example) to quickly browse features of interest.
Download 3k PBMCs from a healthy donor data and launch:
cirro launch pbmc3k.h5ad --markers markers.json
Download human lymph node spatial data and launch:
cirro launch V1_Human_Lymph_Node/V1_Human_Lymph_Node.h5ad --spatial V1_Human_Lymph_Node/spatial
Complete documentation available at https://cirrocumulus.readthedocs.io