scientific-regulatory-genomics

Integrate RegulomeDB, ReMap, and 4DN data to score noncoding variants.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-regulatory-genomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-regulatory-genomics
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-regulatory-genomics
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-regulatory-genomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Regulatory genomics information is scattered across RegulomeDB, ReMap, and 4D Nucleome data sources; this pipeline unifies scoring, TF binding mapping, and 3D genome analysis for noncoding variant interpretation.

Core Features & Use Cases

  • RegulomeDB variant scoring to prioritize regulatory potential.
  • ReMap TF binding mapping to identify transcription factor occupancy in regions of interest.
  • 4D Nucleome based 3D genome structure analysis to contextualize regulatory variants.
  • End-to-end regulatory-variant integration pipeline that outputs consolidated results for downstream interpretation.

Quick Start

Invoke regulatory_variant_pipeline with a list of variants to compute RegulomeDB scores, map TF bindings, and retrieve 4D Nucleome interactions.

Frequently Asked Questions about scientific-regulatory-genomics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score noncoding variants for regulatory potential using RegulomeDB?

You can score noncoding variants for regulatory potential by invoking the regulatory_variant_pipeline with a list of variants to automatically compute RegulomeDB scores.

What is the best way to map transcription factor binding sites near genetic variants?

ReMap TF binding mapping identifies transcription factor occupancy in regions of interest by retrieving ReMap peaks alongside variant scores in a consolidated regulatory pipeline.

Can I analyze 3D genome structure and 4D Nucleome data for variant interpretation?

Yes, 4D Nucleome experiment search retrieves 3D genome structure data to contextualize regulatory variants within higher-order chromatin interactions during noncoding variant interpretation.

How do I integrate regulatory genomics data from RegulomeDB, ReMap, and 4DN in one workflow?

The regulatory_variant_pipeline integrates RegulomeDB, ReMap, and 4DN data sources into an end-to-end workflow that outputs consolidated regulatory-variant results for downstream interpretation.

Does this regulatory genomics pipeline require specific input formats for variant lists?

This regulatory genomics pipeline requires a list of variants as input to compute RegulomeDB scores, map TF bindings, and retrieve 4D Nucleome interactions without external dependencies.

When do I need regulatory genomics analysis for noncoding variant interpretation?

Regulatory genomics analysis is needed when interpreting noncoding variants to elucidate regulatory mechanisms by scoring variant potential, mapping TF bindings, and analyzing 3D genome structure.