bio-crispr-screens-hit-calling
OfficialRobust CRISPR hit calling with trio methods.
Authorstellaromics
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Identify significant genes from CRISPR screens by applying multiple statistical methods and compiling consensus results for robust hit calling.
Core Features & Use Cases
- Apply MAGeCK, BAGEL2, and DrugZ to CRISPR screen data to identify significant genes.
- Integrate custom Python-based hit calling and robust aggregation approaches for cross-method validation.
- Use the time-course analysis and visualization options to track and present depletion or enrichment trends across experiments.
Quick Start
Run MAGeCK, BAGEL2, and DrugZ on your CRISPR screen data to identify consensus hits across methods.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bio-crispr-screens-hit-calling Download link: https://github.com/stellaromics/fast-bioinfo/archive/main.zip#bio-crispr-screens-hit-calling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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