lobster-visualization
Publication-quality plots and interactive visualizations for bioinformatics data analysis.
Installation
pip install lobster-visualization
Agents
| Agent | Description |
|---|---|
visualization_expert |
General-purpose visualization agent for creating publication-ready figures across all omics data types. |
Services
| Service | Purpose |
|---|---|
| VisualizationService | Core plotting engine with Plotly-based interactive visualizations |
Features
- UMAP plots with automatic point size scaling based on cell count
- PCA plots with variance explained annotations
- t-SNE visualizations for dimensionality reduction
- Violin plots for gene expression distribution by cluster
- Feature plots showing expression intensity on embeddings
- Dot plots for marker gene comparison across clusters
- Heatmaps with optional row and column standardization
- Elbow plots for PCA variance analysis and component selection
- Cluster composition stacked bar charts for sample contribution
- QC plots with scientific validation (skips inappropriate modalities)
- Interactive Plotly figures with zoom, pan, and hover tooltips
- Static PNG export for publication and presentation use
- Consistent color palettes across related visualizations
- Automatic figure sizing based on data dimensions
Requirements
- Python 3.12+
- lobster-ai >= 1.0.0
- plotly
Documentation
Full documentation: docs.omics-os.com/docs/agents/visualization
License
AGPL-3.0-or-later
Metadata
Release files for lobster-visualization 1.1.427
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lobster_visualization-1.1.427.tar.gz | 40.4 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lobster_visualization-1.1.427-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 81.1 kB
Release files / lobster_visualization-1.1.427.tar.gz
| Download URL | lobster_visualization-1.1.427.tar.gz |
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| Size | 40.4 kB |
| Tags | Source |
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| Size | 40.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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