Skip to content
alyn
Google DeepMind Official

Gtex Database skill

Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.

$npx skills add google-deepmind/science-skills --skill gtex-database
GitHub stars
3,445
Pack installs
91k
Alyn Score
72/99
Updated
5 h ago
License
Apache-2.0

Google DeepMind

Gtex Database

Install Gtex Database

Pick your agent. Every command is ready to paste.

$npx skills add google-deepmind/science-skills --skill gtex-database

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads gtex-database when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the gtex-database skill”. In Codex, type $gtex-database.

The skill itself

SKILL.md

GitHub

GTEx Database Integration

This skill retrieves transcriptomics data (RNA expression baselines) and expression Quantitative Trait Loci (eQTLs) from the GTEx Portal API V2. It provides access to median TPM (Transcripts Per Million) values for genes and significant eQTLs for variants across 54 human tissue sites.

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/gtex_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://gtexportal.org/home/license and https://gtexportal.org/home/documentationPage#gtexApi, then (2) create the file recording the notification text and timestamp.

When to Use

Use this skill when you need to:

  • Map a gene symbol to its Versioned GENCODE ID.
  • Retrieve the baseline median expression level (in TPM) of a gene across various tissues.
  • Find the top tissues where a particular gene is most highly expressed.
  • Fetch significant single-tissue eQTLs for a variant or within a chromosomal window.
  • Get all significant eQTLs associated with a specific gene.
  • Contextualise a variant within GWAS loci using eQTL data.

Do NOT use when you need to:

  • Query for protein-level expression or post-translational modifications (PTMs). GTEx only measures mRNA abundance.
  • Query gene expression in diseased tissues (e.g., tumor samples, cirrhosis). GTEx is a baseline atlas of normal, non-diseased tissues.
  • Query embryonic or fetal gene expression. GTEx donors are adults only.

Core Rules

CRITICAL: You MUST respect GTEx Portal API Terms of Use.

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.
  • Limit requests to maximum 250 items per page where applicable.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Command Selection Guide

Pick the right command on the first try. Match the user's input to the correct subcommand below.

  • Map a gene symbol to GENCODE ID: resolve-gencode-id
  • Get median expression (TPM) for a gene: get-median-expression
  • Find tissues with highest expression for a gene: get-top-expressed-tissues
  • Get all eQTLs for a specific gene: get-gene-eqtls
  • Find eQTLs within a chromosomal region: get-eqtls-in-region

Quick Start

# Map the TNF gene symbol to its GENCODE ID
uv run scripts/gtex_cli.py resolve-gencode-id TNF --output /tmp/tnf_id.json

# Get median expression of a gene by GENCODE ID
uv run scripts/gtex_cli.py get-median-expression ENSG00000232810.2 --output /tmp/tnf_expr.json

All subcommands write JSON to disk. Always save output in the /tmp/ directory. The default output file is /tmp/gtex_output.json if --output is not specified.

Commands

1. resolve-gencode-id — Gene Symbol → GENCODE ID

Maps a standard gene symbol (e.g., "JUN", "TNF") to its Versioned GENCODE ID. This ID is required for all other expression and eQTL calls.

uv run scripts/gtex_cli.py resolve-gencode-id TNF --output /tmp/tnf_id.json

Arguments:

  • gene_symbol (positional): The standard gene symbol (e.g., "TNF").
  • --output: Output file path (default: /tmp/gtex_output.json).

2. get-median-expression — Get Median Expression (TPM)

Retrieves the median TPM for a gene across all 54 GTEx tissue sites or specified tissues.

uv run scripts/gtex_cli.py get-median-expression ENSG00000232810.2 \
  --tissues "Whole Blood,Spleen" --output /tmp/expr.json

Arguments:

  • gencode_id (positional): The Versioned GENCODE ID.
  • --tissues: Comma-separated list of tissue IDs (optional, defaults to all 54 tissues).
  • --output: Output file path (default: /tmp/gtex_output.json).

3. get-top-expressed-tissues — Get Top Expressed Tissues

Returns the n tissues with the highest median expression for the target gene.

uv run scripts/gtex_cli.py get-top-expressed-tissues ENSG00000232810.2 \
  --n 5 --output /tmp/top_tissues.json

Arguments:

  • gencode_id (positional): The Versioned GENCODE ID.
  • --n: Number of top tissues to return (default: 5).
  • --output: Output file path.

4. get-gene-eqtls — Get All eQTLs for a Gene

Returns every significant eQTL associated with the gene across specified tissues.

uv run scripts/gtex_cli.py get-gene-eqtls ENSG00000232810.2 \
  --tissues "Whole Blood" --output /tmp/eqtls.json

Arguments:

  • gencode_id (positional): The Versioned GENCODE ID.
  • --tissues: Comma-separated list of tissue IDs (optional, defaults to all).
  • --output: Output file path.

5. get-eqtls-in-region — Get eQTLs in Chromosomal Region

Returns all significant single-tissue eQTLs within a chromosomal window (up to 8Mb).

uv run scripts/gtex_cli.py get-eqtls-in-region chr17 7000000 7100000 "Esophagus - Muscularis" \
  --output /tmp/region_eqtls.json

Arguments:

  • chromosome (positional): Chromosome name (e.g., chr17).
  • start (positional): Start position.
  • end (positional): End position (max 8Mb from start).
  • tissue_id (positional): The target tissue ID.
  • --output: Output file path.

Typical Workflows

Identify highest expressing tissues for a gene

# Step 1: Map symbol to GENCODE ID
uv run scripts/gtex_cli.py resolve-gencode-id GATA4 --output /tmp/gata4_id.json

# Step 2: Query for top tissues using the resolved ID
uv run scripts/gtex_cli.py get-top-expressed-tissues <gencode_id> --n 5 \
  --output /tmp/gata4_top.json

Tips for Gtex Database

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Gtex Database

What does the Gtex Database skill do?

Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.

How do I install Gtex Database?

Run "npx skills add google-deepmind/science-skills --skill gtex-database" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Gtex Database work in Cursor and Codex?

Yes. Gtex Database uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Gtex Database free?

Gtex Database is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Gtex Database?

Gtex Database is published by Google DeepMind in the google-deepmind/science-skills repository, together with 39 other skills.

Similar skills. From other creators.