functional-screen-analysis

Analyze ENCODE CRISPR, MPRA, and STARR-seq screens to validate regulatory elements.

26|5|Updated Mar 8, 2026

Search Tags:#data analysis #genomics #CRISPR #regulatory elements #ENCODE #MPRA #STARR-seq

Ready to run

npx skills add https://github.com/ammawla/encode-toolkit --skill functional-screen-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: functional-screen-analysis
Source: https://github.com/ammawla/encode-toolkit/tree/main/plugin/skills/functional-screen-analysis
Command: npx skills add https://github.com/ammawla/encode-toolkit --skill functional-screen-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

It helps researchers analyze ENCODE's functional genomics screens, such as CRISPR, MPRA, and STARR-seq, to identify validated regulatory elements and understand their biological significance.

Core Features & Use Cases

Identify functional regulatory elements through ENCODE screen data.
Integrate screen results with epigenomic annotations like histone marks and chromatin accessibility.
Use Case: A researcher investigats whether candidate enhancers are functionally validated and how they relate to disease-associated variants by overlaying CRISPR screen hits with epigenomic data.

Quick Start

Search for CRISPR screen experiments in ENCODE and analyze the significant enhancer hits by intersecting with chromatin marks and 3D contact data.

Frequently Asked Questions about functional-screen-analysis

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

FAQPage Schema

How do I analyze ENCODE functional genomics screens to validate regulatory elements?▼

Yes, you can integrate CRISPR screen hits with epigenomic data. You achieve this by intersecting significant enhancer hits with epigenomic annotations like histone marks and chromatin accessibility to understand their relationship with disease-associated variants.

What is the best way to use MPRA and STARR-seq data for identifying functional regulatory elements?▼

The best way to use MPRA and STARR-seq data is by processing the raw assay outputs through dedicated data processing scripts. This identifies functionally validated regulatory elements and provides contextual understanding when integrated with existing literature references.

Do I need data processing scripts to interpret CRISPR screen results from ENCODE?▼

Yes, you need data processing scripts to interpret CRISPR screen results from ENCODE. These scripts are required to process assay data, identify significant hits, and integrate them with epigenomic annotations for validating candidate regulatory elements.

How does integrating epigenomic annotations help with functional genomics screen analysis?▼

Integrating epigenomic annotations helps functional genomics screen analysis by adding contextual understanding. Overlaying screen hits with histone marks and 3D contact data reveals how validated regulatory elements influence gene regulation and relate to disease variants.