Chatspatial
Natural language-driven spatial transcriptomics analysis via MCP. Integrates 60+ analytical methods across 15 categories including preprocessing, visualization, spatial statistics, cell communication, deconvolution, and trajectory analysis.
Overview
What is ChatSpatial?
ChatSpatial is a natural language-driven platform for spatial transcriptomics analysis that integrates over 60 analytical methods across various categories, enabling researchers to perform complex analyses through conversational interactions.
How to use ChatSpatial?
To use ChatSpatial, set up a virtual environment, install the package, and interact with the system using natural language commands in either Claude Desktop or Claude Code.
Key features of ChatSpatial?
- Integrates 60+ analytical methods for spatial transcriptomics.
- Allows users to perform analyses through natural language queries.
- Provides instant visualizations and publication-ready outputs.
Use cases of ChatSpatial?
- Analyzing spatial transcriptomics data without coding.
- Identifying spatial domains and marker genes.
- Visualizing gene expression and cell communication in spatial contexts.
FAQ from ChatSpatial?
- Can ChatSpatial handle all types of spatial transcriptomics data?
Yes, it supports various data formats including 10x Genomics and Slide-seq.
- Is coding knowledge required to use ChatSpatial?
No, users can perform analyses using plain English commands.
- What are the system requirements for ChatSpatial?
Requires Python 3.10+, 8GB RAM, and 5GB storage for dependencies.
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