bio-clip-seq-binding-site-annotation

SkillDev tools

Gives your agent access to an open-source library of medical AI skills for healthcare tasks.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the bio-clip-seq-binding-site-annotation skill

About this capability

The largest open-source medical AI skills library for OpenClaw🦞.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-clip-seq-binding-site-annotation/SKILL.md and read by ahel’s review.


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)

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

# Annotate to UTRs
bedtools intersect -a peaks.bed -b 3utr.bed -wa -wb > peaks_3utr.bed

Python Annotation

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

Signals

GitHub stars
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Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
bio-clip-seq-binding-site-annotation
Source
github.com/freedomintelligence/openclaw-medical-skills