MCP server for CNV analysis using infercnv
Overview
What is Infercnv-MCP?
Infercnv-MCP is a natural language interface designed for Copy Number Variation (CNV) inference from single-cell RNA sequencing (scRNA-Seq) data using the infercnvpy library through the MCP framework.
How to use Infercnv-MCP?
To use Infercnv-MCP, install it via PyPI with the command pip install infercnv-mcp, and run it locally or remotely by configuring your MCP client accordingly.
Key features of Infercnv-MCP?
- IO module for reading and writing scRNA-Seq data and loading gene positions.
- Preprocessing module for neighbor computation and data preparation.
- Tool module for CNV inference and CNV scoring.
- Plotting module for visualizations including chromosome heatmaps, UMAP, and t-SNE.
Use cases of Infercnv-MCP?
- Inferring CNVs from scRNA-Seq data for research purposes.
- Integrating CNV analysis into AI applications and plugins.
- Visualizing CNV data through advanced plotting techniques.
FAQ from Infercnv-MCP?
- Who can use Infercnv-MCP?
Researchers and developers looking to analyze CNVs from scRNA-Seq data using a natural language interface.
- How do I install Infercnv-MCP?
You can install it using the command
pip install infercnv-mcp.
- Can I run Infercnv-MCP on a server?
Yes, you can run it remotely by configuring your MCP client to connect to the server.