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compbioagent-explorer
Maintainer FreedomIntelligence · Last updated April 1, 2026
Computational biology exploration agent for multi-omics dataset analysis.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/compbioagent-explorer
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- An LLM-powered web application for single-cell RNA-seq data exploration, integrating with CellDepot and Cellxgene VIP.
- Interactive Exploration: When you need to visually explore a dataset without writing code.
- Hypothesis Generation: Quickly checking expression of specific markers across clusters.
- Sharing: Presenting data to non-computational collaborators.
- Interactive Exploration: When you need to visually explore a dataset without writing code. Hypothesis Generation: Quickly checking expression of specific markers across clusters. * Sharing: Presenting data to non-computational collaborators.
Source Doc
Excerpt From SKILL.md
Core Capabilities
- Natural Language Querying: "Show me the expression of TP53 in the B-cell cluster."
- Cellxgene Integration: Leverages robust visualization tools.
- Data Integration: Connects with CellDepot for dataset retrieval.
Workflow
- Setup:
pip install compbioagent. - Launch:
compbioagent start --data ./data.h5ad. - Interact: Open the local URL (e.g., http://localhost:8050) and chat with the agent to generate plots.
Example Usage
User: "Launch the explorer for my kidney dataset."
Agent Action:
Use cases
- Use compbioagent-explorer for single-cell or spatial omics analysis.
- Apply compbioagent-explorer to clustering, integration, or trajectory workflows.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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