Skip to content
Data
Skill

/jaspar-motifs

Guide for using JASPAR transcription factor binding profiles with ENCODE ChIP-seq data. Use when users need to find TF binding motifs in ENCODE peaks, validate ChIP-seq targets with known motifs, or scan regulatory regions for TF binding potential. Trigger on: JASPAR, motif

From plugin
encode-toolkit
2047 skills7 agents10 commands1 MCP

Claude Code

$ npx -y skills add ammawla/encode-toolkit --skill jaspar-motifs --agent claude-code

SKILL.md

jaspar-motifs.SKILL.md
name: jaspar-motifs
description: "Guide for using JASPAR transcription factor binding profiles with ENCODE ChIP-seq data. Use when users need to find TF binding motifs in ENCODE peaks, validate ChIP-seq targets with known motifs, or scan regulatory regions for TF binding potential. Trigger on: JASPAR, motif database, binding profile, PWM, position weight matrix, TF motif, motif enrichment, motif scanning, binding site prediction."

Using JASPAR Transcription Factor Binding Profiles with ENCODE ChIP-seq Data

Integrate JASPAR position weight matrices (PWMs) with ENCODE ChIP-seq peaks to validate TF binding targets, discover co-binding partners, and scan regulatory elements for TF binding potential.

Scientific Rationale

**The question**: "Does the expected TF binding motif appear in my ENCODE ChIP-seq peaks, and what other TF motifs are enriched?"

ENCODE TF ChIP-seq experiments identify where a transcription factor binds in the genome, but the peak coordinates alone do not confirm direct DNA binding or reveal the binding sequence specificity. JASPAR provides curated position weight matrices (PWMs) — mathematical representations of TF binding preferences — that enable two critical analyses:

1. **Target validation**: If CTCF ChIP-seq peaks are enriched for the CTCF motif (JASPAR MA0139.1), the experiment worked correctly. If they are NOT enriched, something may be wrong with the antibody, crosslinking, or peak calling.

2. **Co-factor discovery**: Motif enrichment analysis in ChIP-seq peaks often reveals motifs for co-binding TFs that were not the ChIP target, uncovering regulatory complexes.

What JASPAR Provides

  • **900+ curated TF binding profiles** across 7 taxonomic groups
  • **Position Frequency Matrices (PFMs)**, Position Weight Matrices (PWMs), and sequence logos
  • **Multiple profile versions** reflecting binding mode diversity
  • **Quality scores** (based on validation evidence)
  • **Taxonomic classification** and TF structural class annotation
  • **REST API** for programmatic access

The ENCODE-JASPAR Synergy

| ENCODE provides | JASPAR provides | Together | |----------------|----------------|---------| | Where a TF binds (peak coordinates) | How a TF recognizes DNA (binding motif) | Validated binding sites with sequence specificity | | TF binding in specific tissues | Universal binding preferences | Tissue-specific motif usage | | Co-occupancy data (multiple ChIP-seq) | Co-factor motif profiles | Regulatory complex architecture | | Chromatin context (accessibility, marks) | Motif sequence requirements | Context-dependent binding rules |

Key Literature

  • **Castro-Mondragon et al. 2022** "JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles" (Nucleic Acids Research, ~1,400 citations). The current JASPAR release with 1,956 profiles across 7 taxonomic groups, including unvalidated (UNVALIDATED collection) profiles. Introduced TFBSTools integration and improved REST API. [DOI: 10.1093/nar/gkab1113](https://doi.org/10.1093/nar/gkab1113)
  • **Sandelin et al. 2004** "JASPAR: an open-access database for eukaryotic transcription factor binding profiles" (Nucleic Acids Research, ~2,000 citations). The founding JASPAR publication establishing the curated, open-access model for TF binding profiles. [DOI: 10.1093/nar/gkh012](https://doi.org/10.1093/nar/gkh012)
  • **Grant et al. 2011** "FIMO: scanning for occurrences of a given motif" (Bioinformatics, ~2,500 citations). FIMO (Find Individual Motif Occurrences) — the standard tool for scanning sequences with PWMs. Part of the MEME Suite. [DOI: 10.1093/bioinformatics/btr064](https://doi.org/10.1093/bioinformatics/btr064)
  • **Heinz et al. 2010** "Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities" (Molecular Cell, ~5,000 citations). Introduced HOMER motif analysis — the most widely used tool for de novo and known motif enrichment in ChIP-seq peaks. [DOI: 10.1016/j.molcel.2010.05.004](https://doi.org/10.1016/j.molcel.2010.05.004)
  • **ENCODE Project Consortium 2020** (Nature, ~1,656 citations). The TF ChIP-seq experiments that JASPAR motifs validate and enrich. [DOI: 10.1038/s41586-020-2493-4](https://doi.org/10.1038/s41586-020-2493-4)

When to Use This Skill

| Scenario | How JASPAR Helps | |---------|-----------------| | Validating ENCODE TF ChIP-seq | Check if target TF motif is enriched in peaks | | Finding co-binding TFs | Scan peaks for additional enriched motifs | | Interpreting ENCODE enhancers | Identify which TFs can bind enhancer sequences | | Variant in TF binding site | Check if variant disrupts a JASPAR motif | | Comparing TF binding across tissues | Determine if same motif is used in different contexts | | Planning CRISPR validation | Identify core motif bases to mutate |

JASPAR REST API Reference

**Base URL**: `https://jaspar.genereg.net/api/v1/`

No authentication required. Responses are JSON.

Key Endpoints

| Endpoint | Purpose | Key Parameters | |---------|---------|---------------| | `/matrix/` | List/search all profiles | `name`, `collection`, `tax_group`, `tf_class` | | `/matrix/{id}/` | Get specific profile | Matrix ID (e.g., MA0139.1) | | `/matrix/{id}/?format=pfm` | Get PFM (counts) | — | | `/matrix/{id}/?format=pwm` | Get PWM (log-odds) | — | | `/matrix/{id}/?format=jaspar` | Get JASPAR format | — | | `/matrix/{id}/?format=meme` | Get MEME format | Ready for FIMO scanning | | `/taxon/` | List taxonomic groups | — | | `/tfclass/` | List TF structural classes | — |

Common Matrix IDs for ENCODE TFs

| TF | JASPAR ID | Class | Notes | |----|----------|-------|-------| | CTCF | MA0139.1 | C2H2 zinc finger | Most common ENCODE TF ChIP-seq target | | TP53 (p53) | MA0106.3 | p53 family | Tumor suppressor | | SP1 | MA0079.5 | C2H2 zinc finger | GC-rich promoter binding | | FOXA1 | MA0148.4 | Forkhead | Pioneer factor | | FOXA2 | MA0047.3 | Forkhead | Liver, p

Read more
@ammawla
Ships withencode-toolkit

Search ENCODE, cross-reference 14 databases, run 7 analysis pipelines, and generate publication-ready methods — all from natural language in Claude Code.

2047 skills7 agents1 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
20
Star history of ammawla/encode-toolkit on GitHub, a chart by star-history.com

Other skills on encode-toolkit.

batch-analysis

batch-analysis

Guide for multi-experiment batch operations: QC screening, batch download, comparison, and report generation across many ENCODE…

cellxgene-context

cellxgene-context

Guide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when users need cell-type-specific…

cite-encode

cite-encode

Generate proper ENCODE citations for publications, grants, and presentations. Use when the user needs to cite ENCODE data, create…

clinvar-annotation

clinvar-annotation

Guide for annotating ENCODE regulatory variants with ClinVar clinical significance. Use when users need to check if variants in…

More skills from other plugins.

context-loader
Auto-invoked

context-loader

Search memories from earlier Pi sessions in this repository. Use it when earlier work may already explain the code, error,…

mem05d69k
@mem0ai@mem0aiInstall Skill
analyzing-ai-citations

analyzing-ai-citations

Answer AI citation and answer engine optimization (AEO) questions in PostHog: whether AI answer engines (ChatGPT, Claude, and an…

posthog11d41k
@posthog@posthogInstall Skill

Questions about jaspar-motifs.

Which coding agents can use jaspar-motifs?
jaspar-motifs installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.