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Google DeepMind Official

Jaspar Database skill

Query the JASPAR database for Transcription Factor (TF) binding profiles. Use when retrieving Position Frequency Matrices (PFMs) or Position Weight Matrices (PWMs) for specific TFs, resolving gene symbols to JASPAR Matrix IDs, or getting TF metadata. Supports multiple output formats (MEME, TRANSFAC, PFM, JASPAR, YAML).

$npx skills add google-deepmind/science-skills --skill jaspar-database
GitHub stars
3,445
Pack installs
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Alyn Score
70/99
Updated
5 h ago
License
Apache-2.0

Google DeepMind

Jaspar Database

Install Jaspar Database

Pick your agent. Every command is ready to paste.

$npx skills add google-deepmind/science-skills --skill jaspar-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 jaspar-database when the request matches its description.

03

Name it if needed

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

The skill itself

SKILL.md

GitHub

JASPAR Skill

JASPAR is the definitive open-access database for Transcription Factor (TF) binding profiles, stored as Position Frequency Matrices (PFMs).

Use this skill to map abstract sequence motifs or genomic regions to specific biological regulators (e.g., "what TFs bind here?" or "what is the motif for CTCF?").

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/jaspar_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://jaspar.elixir.no/ and https://jaspar.elixir.no/api/, then (2) create the file recording the notification text and timestamp.

Core Rules

CRITICAL: You MUST respect the JASPAR API Terms of Use by adhering to the following:

  • 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.
  • Maximum API Window Size: The genomic window for a single API query MUST NOT exceed 100,000 bp (100kb). The jaspar_api.py script automatically chunks larger requests for you to bypass this limitation when querying larger regions.
  • Valid Matrix IDs: get_tf_motif, get_tf_metadata, and get_tf_pwm require a stable JASPAR Matrix ID (e.g., MA0488.2). If a user provides a gene symbol (e.g., JUN), you must resolve it first using resolve_tf_id.
  • Taxonomy Required: Resolving IDs requires a tax_id to ensure targeted searches. Common IDs: Human=9606, Mouse=10090.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Utility Scripts

Run all commands using the bundled Python script:

1. Resolve TF to Matrix ID

Maps a transcription factor name to a stable Matrix ID. Required step before fetching motifs if only a gene name is provided.

uv run scripts/jaspar_api.py resolve_tf_id --name "JUN" --tax-id 9606

2. Get TF Motif (PFM)

Retrieves the raw Position Frequency Matrix for a specific TF. Supports --format flag.

uv run scripts/jaspar_api.py get_tf_motif --matrix-id "MA0488.2"
uv run scripts/jaspar_api.py get_tf_motif --matrix-id "MA0488.2" --format meme

3. Get TF Metadata

Retrieves TF class, family, and links to external databases (e.g., UniProt). Supports --format flag.

uv run scripts/jaspar_api.py get_tf_metadata --matrix-id "MA0488.2"
uv run scripts/jaspar_api.py get_tf_metadata --matrix-id "MA0488.2" --format yaml

4. Compute PWM (Position Weight Matrix)

Fetches the PFM for a matrix and converts it to log-odds scores (PWM).

uv run scripts/jaspar_api.py get_tf_pwm --matrix-id "MA0488.2"
uv run scripts/jaspar_api.py get_tf_pwm --matrix-id "MA0488.2" --pseudocount 0.1

5. Infer Matrix from Protein Sequence

Infers potential JASPAR matrix profiles from a raw transcription factor protein sequence.

uv run scripts/jaspar_api.py infer_from_sequence --sequence "QAQLLPSHHVG"

6. Get TF Flexible Model (TFFM)

Retrieves metadata for a JASPAR TF Flexible Model. (Note: The JASPAR TFFM endpoints occasionally experience 500 Internal Server errors).

uv run scripts/jaspar_api.py get_tffm --tffm-id "TFFM0001.1"

Output Formats

The get_tf_motif and get_tf_metadata commands accept an optional --format flag. Supported formats: json (default), jsonp, jaspar, meme, transfac, pfm, yaml.

Anti-Patterns

  • DON'T pass gene symbols (e.g., JUN) to get_tf_motif. You must pass the MA... Matrix ID.
  • DON'T forget the --tax-id when resolving a TF name.
  • DON'T use this skill for determining tissue-specific epigenetic availability (JASPAR shows potential binding, not actual tissue expression context).
  • DON'T use this skill to model how a specific protein mutation affects binding.

Tips for Jaspar 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 Jaspar Database

What does the Jaspar Database skill do?

Query the JASPAR database for Transcription Factor (TF) binding profiles. Use when retrieving Position Frequency Matrices (PFMs) or Position Weight Matrices (PWMs) for specific TFs, resolving gene symbols to JASPAR Matrix IDs, or getting TF metadata. Supports multiple output formats (MEME, TRANSFAC, PFM, JASPAR, YAML).

How do I install Jaspar Database?

Run "npx skills add google-deepmind/science-skills --skill jaspar-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 Jaspar Database work in Cursor and Codex?

Yes. Jaspar 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 Jaspar Database free?

Jaspar 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 Jaspar Database?

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

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