bio-clip-seq-binding-site-annotation
SkillDev toolsGives 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.
No other account needed.
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
- 3k
- Forks
- 407
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
bio-clip-seq-binding-site-annotation- Source
- github.com/freedomintelligence/openclaw-medical-skills