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bio-epitranscriptomics-modification-visualization

4.9

by majiayu000

194Favorites
93Upvotes
0Downvotes

Create metagene plots and browser tracks for RNA modification data. Use when visualizing m6A distribution patterns around genomic features like stop codons.

bioinformatics

4.9

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides practical code for visualizing RNA modification data using Guitar (R) and deepTools (bash), with clear examples for metagene plots, browser tracks, and heatmaps. The description adequately conveys the skill's purpose (m6A distribution visualization). Task knowledge is solid with working code snippets covering multiple approaches. Structure is reasonable for a focused skill, though it could benefit from more parameter explanations. Novelty is moderate: while epitranscriptomics is specialized, the techniques largely mirror ChIP-seq visualization workflows that a capable CLI agent could adapt. The skill saves tokens by providing domain-specific defaults (e.g., Guitar with transcript features, stop codon focus) but doesn't represent highly complex or unique logic.

LLM Signals

Description coverage7
Task knowledge8
Structure6
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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