curatedTCGAData-mcp
CommunityAccess and analyze TCGA cancer data.
Authorvjcitn
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the complex process of accessing and preparing The Cancer Genome Atlas (TCGA) data for analysis, making multi-omic cancer research more accessible.
Core Features & Use Cases
- Discover Data: Easily list available cancer types and the specific data assays (e.g., RNA-seq, mutations, copy number) for each.
- Build Datasets: Create
MultiAssayExperimentobjects, which integrate various data types for a given cancer or multiple cancers. - Data Filtering & Preparation: Filter data to include only primary tumors and extract essential clinical or subtype information.
- Use Case: A researcher wants to investigate gene expression differences between primary tumors and normal tissue for a specific cancer. They can use this Skill to find available RNA-seq data, build a dataset, filter for primary tumors, and extract the relevant expression matrix.
Quick Start
List all available TCGA cancer types.
Dependency Matrix
Required Modules
curatedTCGADataMultiAssayExperimentTCGAutilsSummarizedExperimentRaggedExperimentS4Vectorsmethods
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: curatedTCGAData-mcp Download link: https://github.com/vjcitn/BiocMCP-tcga/archive/main.zip#curatedtcgadata-mcp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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