数据与复现统计与数据分析FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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bio-chipseq-peak-annotation

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

bio-chipseq-peak-annotation:Annotate ChIP-seq peaks to genomic features 、 genes ,使用 ChIPseeker。 Assign peaks to promoters,exons,introns,、 intergenic regions。 适合在annotating ChIP-seq peaks to genomic features时使用。

OpenClawNanoClaw分析处理复现实验bio-chipseq-peak-annotation🧬 bioinformatics (gptomics bio-* suite)bioinformatics — epigenomics & chromatinannotate

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-chipseq-peak-annotation

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

  • R:ChIPseeker::annotatePeak(peaks,TxDb=txdb)。
  • Annotate my ChIP-seq peaks to genes" → Assign peaks to genomic features (promoter,exon,intron,intergenic),find nearest genes,、 calculate TSS distances. R:ChIPseeker::annotatePeak(peaks,TxDb=txdb)。
  • peaks <- readPeakFile('sample_peaks.narrowPeak')。

原始文档

SKILL.md 摘录

Load Peaks and Annotations

library(ChIPseeker)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
library(org.Hs.eg.db)

txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene

## Annotate Peaks

**Goal:** Assign each ChIP-seq peak to its nearest gene and genomic feature category.

**Approach:** Use annotatePeak with a TxDb annotation database to classify peaks as promoter, exon, intron, or intergenic and retrieve the nearest gene symbol.

```r

## Annotate with default settings

peak_anno <- annotatePeak(
    peaks,
    TxDb = txdb,
    annoDb = 'org.Hs.eg.db'
)

适用场景

  • 适合在annotating ChIP-seq peaks to genomic features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

  • peak-calling - Generate peak files with MACS3
  • differential-binding - Find differential peaks
  • pathway-analysis - Functional enrichment
  • chipseq-visualization - Additional visualizations

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