Agent skill
bio-epitranscriptomics-modification-visualization
Install this agent skill to your Project
npx add-skill https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-epitranscriptomics-modification-visualization
SKILL.md
name: bio-epitranscriptomics-modification-visualization description: Create metagene plots and browser tracks for RNA modification data. Use when visualizing m6A distribution patterns around genomic features like stop codons. tool_type: r primary_tool: Guitar measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
Modification Visualization
Metagene Plots with Guitar
library(Guitar)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
# Load m6A peaks
peaks <- import('m6a_peaks.bed')
# Create metagene plot
# Shows distribution relative to transcript features
GuitarPlot(
peaks,
txdb = TxDb.Hsapiens.UCSC.hg38.knownGene,
saveToPDFprefix = 'm6a_metagene'
)
Custom Metagene with deepTools
# Create bigWig from IP/Input ratio
bamCompare -b1 IP.bam -b2 Input.bam \
--scaleFactors 1:1 \
--ratio log2 \
-o IP_over_Input.bw
# Metagene around stop codons
computeMatrix scale-regions \
-S IP_over_Input.bw \
-R genes.bed \
--regionBodyLength 2000 \
-a 500 -b 500 \
-o matrix.gz
plotProfile -m matrix.gz -o metagene.pdf
Browser Tracks
# Create normalized bigWig for genome browser
bamCoverage -b IP.bam \
--normalizeUsing CPM \
-o IP_normalized.bw
# Peak BED to bigBed
bedToBigBed m6a_peaks.bed chrom.sizes m6a_peaks.bb
Heatmaps
library(ComplexHeatmap)
# m6A signal around peaks
Heatmap(
signal_matrix,
name = 'm6A signal',
cluster_rows = TRUE,
show_row_names = FALSE
)
Related Skills
- epitranscriptomics/m6a-peak-calling - Generate peaks for visualization
- data-visualization/genome-tracks - IGV, UCSC integration
- chip-seq/chipseq-visualization - Similar techniques
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