Source: https://github.com/aipoch/medical-research-skills

CRISPR Screen Analyzer

Analyze pooled CRISPR screening data to identify essential genes, drug resistance/sensitivity candidates, and screen quality metrics. Supports Robust Rank Aggregation (RRA) analysis, quality control assessment, and hit identification for functional genomics studies.

Key Capabilities:

• Quality Control Assessment: Calculate Gini index, read depth, and dropout metrics to evaluate screen quality
• Log Fold Change Calculation: Compute sgRNA-level fold changes between treatment and control conditions
• Statistical Analysis: Perform Robust Rank Aggregation (RRA) to identify significantly enriched or depleted sgRNAs
• Hit Identification: Apply FDR and fold change thresholds to identify candidate genes
• Multi-Sample Support: Process multiple replicates and treatment conditions simultaneously

When to Use

• Use this skill when the task needs Process CRISPR screening data to identify essential genes and hit candidates. Performs quality control, statistical analysis (RRA), and hit calling for pooled CRISPR screens including viability screens and drug resistance/sensitivity studies.
• Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.