name: compbioagent-explorer description: scRNA-seq Explorer keywords: - single-cell - visualization - web-app - cellxgene - exploration measurable_outcome: Launch a local web instance for interactive scRNA-seq exploration and generate 3+ custom visualizations per session. license: MIT metadata: author: CompBioAgent Team version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - web_fetch
CompBioAgent (Single-Cell Explorer)
An LLM-powered web application for single-cell RNA-seq data exploration, integrating with CellDepot and Cellxgene VIP.
When to Use
- 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.
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:
compbioagent launch --port 8080 --data ./kidney_atlas.h5ad