crispr-screen-analysis

Analyze pooled CRISPR screen data with MAGeCK and GSEA.

2|Updated Jun 4, 2026
One-click install
npx skills add https://github.com/Lord1Egypt/scientific-agent-toolkit --skill crispr-screen-analysis-lord1egypt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crispr-screen-analysis
Source: https://github.com/Lord1Egypt/scientific-agent-toolkit/tree/main/scientific-skills/crispr-screen-analysis
Command: npx skills add https://github.com/Lord1Egypt/scientific-agent-toolkit --skill crispr-screen-analysis-lord1egypt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mageck, pandas, numpy, matplotlib, scipy, gseapy, crispy.

What problem does it solve?

This skill automates the complex bioinformatics pipeline required to process pooled CRISPR genetic screens, transforming raw sequencing data into actionable biological insights.

Core Features & Use Cases

  • Hit Calling: Perform statistical testing using MAGeCK to identify essential genes or phenotypic drivers in positive and negative selection screens.
  • Quality Control: Evaluate sgRNA library representation, replicate correlation, and distribution metrics to ensure experimental integrity.
  • Pathway Enrichment: Automatically map screen hits to biological pathways using GSEA to interpret the functional impact of your genetic perturbations.

Quick Start

Use the crispr-screen-analysis skill to process my raw FASTQ files and generate a gene-level essentiality report using the MAGeCK workflow.

Frequently Asked Questions about crispr-screen-analysis

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

FAQPage Schema
How do I analyze pooled CRISPR screen data to identify essential genes?

Yes, you can perform CRISPR pathway enrichment using GSEA. This Skill automatically maps identified screen hits to biological pathways using gseapy, helping you interpret the functional impact of genetic perturbations on your phenotypic drivers.

What's the best way to run QC on sgRNA library representation for CRISPR screens?

For CRISPR screen QC, this Skill evaluates sgRNA library representation, replicate correlation, and distribution metrics. This ensures your pooled screen experimental integrity before proceeding with downstream statistical hit calling.

Does MAGeCK work with Python for genome-wide CRISPR knockout screen analysis?

Yes, MAGeCK works with Python for genome-wide CRISPR knockout screen analysis. This Skill requires MAGeCK for count processing and hit calling, while leveraging Python-based tools like pandas, numpy, and matplotlib for visualization.

Can I use this CRISPR screen pipeline for activation and interference screens?

Yes, you can use this CRISPR screen pipeline for activation and interference screens. The Skill supports genome-wide knockout, activation, and interference screens across various experimental designs to identify phenotypic hits.

Do I need raw FASTQ files to start CRISPR screen analysis with MAGeCK?

You need raw FASTQ files to start CRISPR screen analysis with MAGeCK. The Skill automates the bioinformatics pipeline to process these raw sequencing files into actionable biological insights and gene-level essentiality reports.