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bio-crispr-screens-mageck-analysis

维护者 FreedomIntelligence · 最近更新 2026年4月1日

bio-crispr-screens-mageck-analysis:MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout) ,用于 pooled CRISPR screen analysis。 Covers count normalization,gene ranking,、 pathway analysis。 适合在identifying essential genes,drug targets,或 resistance mechanisms ,面向 dropout 或 enrichment screens时使用。

OpenClawNanoClaw分析处理复现实验bio-crispr-screens-mageck-analysis🧬 bioinformatics (gptomics bio-* suite)bioinformatics — epidemiological & causal genomicsmageck

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-crispr-screens-mageck-analysis

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • CLI:mageck count → mageck test ,用于 standard analysis。
  • CLI:mageck mle ,用于 multi-condition designs。
  • 分析 my pooled CRISPR screen ,支持 MAGeCK" → Count sgRNA reads,normalize across samples,、 rank genes by enrichment 或 depletion ,使用 MAGeCK robust rank aggregation algorithm. CLI:mageck count → mageck test ,用于 standard analysis CLI:mageck mle ,用于 multi-condition designs。
  • mageck count \ -l 库.csv \ -n experiment \ --sample-label Day0,Treated1,Treated2,Control1,Control2 \ --fastq Day0.fastq.gz Treated1.fastq.gz Treated2.fastq.gz Control1.fastq.gz Control2.fastq.gz \ --norm-method median。

原始文档

SKILL.md 摘录

Count sgRNAs from FASTQ

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
...

MAGeCK Test (RRA Algorithm)

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.

适用场景

  • 适合在identifying essential genes,drug targets,或 resistance mechanisms ,面向 dropout 或 enrichment screens时使用。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

上游相关技能

  • screen-qc - Quality control before MAGeCK
  • hit-calling - Alternative hit calling methods
  • pathway-analysis/gsea - Downstream enrichment analysis

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