Tooluniverse Immune Repertoire Analysis
Analyzes immune repertoires from diverse datasets to identify biomarkers and therapeutic targets using advanced AI modeling.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add tooluniverse-immune-repertoire-analysis npx -- -y @trustedskills/tooluniverse-immune-repertoire-analysis
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"tooluniverse-immune-repertoire-analysis": {
"command": "npx",
"args": [
"-y",
"@trustedskills/tooluniverse-immune-repertoire-analysis"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The tooluniverse-immune-repertoire-analysis skill enables AI agents to analyze immune system repertoires by processing complex biological datasets. It facilitates the discovery of specific antibody or T-cell receptor sequences and their associated functional properties within immunological studies.
When to use it
- Investigating personalized vaccine responses based on individual patient immune profiles.
- Identifying rare antigen-specific B-cell clones in autoimmune disease research.
- Analyzing high-throughput sequencing data from single-cell RNA-seq experiments.
- Mapping epitope-binding specificities across diverse human populations.
Key capabilities
- Processes large-scale immunosequencing datasets to extract repertoire metrics.
- Identifies clonal expansions and contraction patterns within immune responses.
- Correlates sequence diversity with functional outcomes in experimental conditions.
- Supports analysis of both B-cell receptor (BCR) and T-cell receptor (TCR) repertoires.
Example prompts
- "Analyze the provided V(D)J sequencing data to identify dominant clonal families in this patient sample."
- "Compare immune repertoire diversity between control and treated groups using statistical metrics."
- "Extract unique CDR3 sequences from the dataset and predict their potential antigen binding specificities."
Tips & gotchas
Ensure input datasets are properly formatted for immunosequencing analysis to avoid parsing errors. This tool is specialized for biological data; do not use it for general text processing or non-immunological tasks.
Tags
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