<!-- COPYRIGHT NOTICE This file is part of the "Universal Biomedical Skills" project. Copyright c 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu All Rights Reserved. This code is proprietary and confidential. Unauthorized copying of this file, via any medium is strictly prohibited. Provenance:
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "bio-clip-seq-binding-site-annotation" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills /tmp/OpenClaw-Medical-Skills && cp -r /tmp/OpenClaw-Medical-Skills/skills/bio-clip-seq-binding-site-annotation ~/.claude/skills/bio-clip-seq-binding-site-annotationThis skill is a directory: SKILL.md is the entry point; the files below ship with it.
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# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
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---
name: bio-clip-seq-binding-site-annotation
description: Annotate CLIP-seq binding sites to genomic features including 3'UTR, 5'UTR, CDS, introns, and ncRNAs. Use when characterizing where an RBP binds in transcripts.
tool_type: mixed
primary_tool: ChIPseeker
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
---
# Binding Site Annotation
## Using ChIPseeker (R)
```r
library(ChIPseeker)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg38.knownGene
peaks <- readPeakFile('peaks.bed')
anno <- annotatePeak(peaks, TxDb = txdb)
plotAnnoPie(anno)
```
## Using BEDTools
```bash
# Annotate to UTRs
bedtools intersect -a peaks.bed -b 3utr.bed -wa -wb > peaks_3utr.bed
```
## Python Annotation
```python
import pandas as pd
def annotate_peaks(peaks_bed, annotation_gtf):
'''Annotate peaks to genomic features'''
# Load peaks and annotations
# Intersect and categorize
pass
```
## Related Skills
- clip-peak-calling - Get peaks
- genome-intervals/interval-arithmetic - Intersect peaks with genomic features
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