Skip to content
Research
Skill

/jaspar_database

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

BOOST
From plugin
science-skills
3.2k40 skills
Install
$ npx -y skills add google-deepmind/science-skills --skill jaspar_database --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/jaspar_database

Context preview

The summary Claude sees to decide when to auto-load this 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

SKILL.md

jaspar_database.SKILL.md
name: jaspar-database
description: >
    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).

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.

Read more
Ships withscience-skills

A collection of agent skills for scientific research tasks, spanning genomics, structural biology, cheminformatics, literature search, and more.

Get the whole plugin

Other skills on science-skills.