bio-single-cell-perturb-seq

Identify how pooled genetic perturbations influence transcriptional programs in single cells.

Updated Mar 30, 2026

Search Tags:#analysis #single-cell #scrna-seq #crispr #perturb-seq #pertpy

Ready to run

npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-single-cell-perturb-seq

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bio-single-cell-perturb-seq
Source: https://github.com/ya-way/cytoclaw-skills/tree/main/workspace/skills/bio-single-cell-perturb-seq
Command: npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-single-cell-perturb-seq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Biologists need to link pooled genetic perturbations to transcriptional outcomes in single cells, enabling function discovery from Perturb-seq and CROP-seq experiments.

Core Features & Use Cases

Differential perturbation analysis across single-cell profiles
Perturbation signature computation and clustering of perturbations by phenotype
Seamless integration with scRNA-seq workflows (Scanpy, Pertpy) and downstream enrichment analyses

Quick Start

Load your perturb-seq scRNA-seq data and run differential expression per perturbation to identify functional gene effects.

Frequently Asked Questions about bio-single-cell-perturb-seq

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

FAQPage Schema

How do I analyze CRISPR Perturb-seq data in single cells?▼

To analyze CRISPR Perturb-seq data in single cells, you map guide effects to gene expression and compute perturbation signatures using Python packages like pertpy and scanpy to process the scRNA-seq dataset.

What is the best way to map genetic perturbation effects to transcriptional programs?▼

Mapping genetic perturbation effects to transcriptional programs is done by calculating perturbation signatures and clustering perturbations by phenotype. This approach identifies distinct functional gene effects across single-cell profiles.

Can I use scanpy and pertpy for CROP-seq differential expression analysis?▼

Yes, you can use scanpy and pertpy for CROP-seq differential expression analysis. These Python packages integrate seamlessly to run differential expression per perturbation and map pooled genetic perturbations to single-cell transcriptional outcomes.

What Python packages do I need for pooled genetic perturbation analysis?▼

Python packages such as pertpy and scanpy are needed for pooled genetic perturbation analysis to preprocess data, perform differential expression, and generate perturbation scores from single-cell profiles.

How does perturbation signature computation work in scRNA-seq workflows?▼

Perturbation signature computation in scRNA-seq workflows works by clustering perturbations by phenotype to identify functional gene effects. It seamlessly integrates with downstream enrichment analyses to link genetic perturbations to transcriptional outcomes.