install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bio-clip-seq-binding-site-annotation" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-bio-clip-seq-binding-site-annotation && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bio-clip-seq-binding-site-annotation" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-bio-clip-seq-binding-site-annotation && rm -rf "$T"
manifest:
skills/bio-clip-seq-binding-site-annotation/SKILL.mdsource content
<!--
# 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
-->
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