arxiv-database
This skill provides Python tools for searching and retrieving preprints from arXiv.org via its public Atom API. It supports keyword search,…
Maintainer FreedomIntelligence · Last updated April 1, 2026
MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout) for pooled CRISPR screen analysis. Covers count normalization, gene ranking, and pathway analysis. Use when identifying essential genes, drug targets, or resistance mechanisms from dropout or enrichment screens.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-crispr-screens-mageck-analysis
Skill Snapshot
Source Doc
Goal: Quantify sgRNA representation from raw sequencing data.
Approach: Map FASTQ reads to the sgRNA library sequences with MAGeCK count, producing a normalized count matrix and QC summary across all samples.
## library.csv (tab-separated)
sgRNA_ID Gene Sequence
BRCA1_1 BRCA1 ATGGATTTATCTGCTCTTCG
BRCA1_2 BRCA1 CAGCAGATACTTGATGCATC
TP53_1 TP53 CCATTGTTCAATATCGTCCG
...
Goal: Identify genes significantly enriched or depleted between treatment and control conditions.
Approach: Run MAGeCK test with robust rank aggregation, which ranks sgRNAs by fold change, tests whether per-gene sgRNA rankings deviate from uniform, and reports gene-level significance with FDR correction.
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