bio-crispr-screens-screen-qc
Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosing poor screen performance.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-crispr-screens-screen-qc --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: MAGeCK 0.5+, matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scikit-learn 1.4+, seaborn 0.13+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # CRISPR Screen Quality Control **"Check the quality of my CRISPR screen"** → Assess screen quality through library representation, Gini index, replicate correlation, and essential gene recovery metrics before hit calling. - Python: `pandas` + `matplotlib` for QC metrics and diagnostic plots ## Load Count Data ```python import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns # Load MAGeCK count output counts = pd.read_csv('screen.count.txt', sep='\t', index_col=0) genes = counts['Gene'] count_matrix = counts.drop('Gene', axis=1) print(f'sgRNAs: {len(count_matrix)}') print(f'Genes: {genes.nunique()}') print(f'Samples: {count_matrix.columns.tolist()}') ``` ## Library Representation **Goal:*
- Version Compatibility
- Load Count Data
- Library Representation
- Read Distribution (Gini Index)
- Read Count Distribution
- Replicate Correlation
- Essential Gene Recovery
- sgRNA Performance
- Sample Normalization Check
- QC Summary Report
- Related Skills
What does the bio-crispr-screens-screen-qc skill do?
Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosing poor screen performance.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-crispr-screens-screen-qc --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.