사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/google-deepmind/science-skills --skill jaspar-database시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
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
- `uv`: Read the
uvskill and follow its Setup instructions to ensure
uv is installed and on PATH.
- User Notification: If .licenses/jaspardatabaseLICENSE.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, andget_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_idto 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 96062. 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 meme3. 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 yaml4. 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 0.15. 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) toget_tf_motif. You must pass
the MA... Matrix ID.
- DON'T forget the
--tax-idwhen 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.


