Bio Epitranscriptomics Modification Visualization
- 4 installs
- 1.1k repo stars
- Updated July 25, 2026
- gptomics/bioskills
Create metagene plots and browser tracks for RNA modification data using Guitar to visualize m6A distribution around genomic features.
About
Generates metagene plots and browser tracks for RNA modification data with the Guitar package. A developer uses it when visualizing m6A distribution patterns around features like stop codons.
- Guitar metagene plots for RNA modifications
- Browser tracks showing m6A distribution
Bio Epitranscriptomics Modification Visualization by the numbers
- 4 all-time installs (skills.sh)
- Ranked #1,625 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 4 |
|---|---|
| repo stars | ★ 1.1k |
| Last updated | July 25, 2026 |
| Repository | gptomics/bioskills ↗ |
What it does
Create metagene plots and browser tracks for RNA modification data using Guitar to visualize m6A distribution around genomic features.
Files
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.pdfBrowser 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.bbHeatmaps
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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