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epitranscriptomics

Detect and interpret RNA modification signals from MeRIP-seq sequencing data.

25|5|Updated Mar 22, 2026
Search Tags:#bioinformatics#peak-calling#m6a#epitranscriptomics#rna-modification#transcript-visualization
One-click install
npx skills add https://github.com/zongtingwei/Bioclaw_Skills_Hub --skill epitranscriptomics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: epitranscriptomics
Source: https://github.com/zongtingwei/Bioclaw_Skills_Hub/tree/main/skills/epigenomics-and-regulation/epitranscriptomics
Command: npx skills add https://github.com/zongtingwei/Bioclaw_Skills_Hub --skill epitranscriptomics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Workflow for RNA modification analysis such as m6A peak calling, differential modification, and transcript-level visualization.

Core Features & Use Cases

  • RNA modification analysis: m6A peak calling, differential modification assessment, and transcript-level visualization.
  • Broad applicability: suitable for MeRIP-seq experiments and transcriptome-wide modification studies.
  • Use Case: researchers compare conditions to find differential RNA modification patterns and visualize modifications on representative transcripts.

Quick Start

Provide modification-enriched reads, input reads, and transcript annotations to start the workflow.

Frequently Asked Questions about epitranscriptomics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform m6A peak calling from MeRIP-seq data?▼

To perform m6A peak calling from MeRIP-seq data, you provide modification-enriched reads, input reads, and transcript annotations to start the workflow. This enables detection of transcriptome-wide RNA modification signals.

What is differential modification analysis for RNA modification studies?▼

Differential modification analysis compares RNA modification patterns across different experimental conditions. Researchers use it to identify significant changes in modification levels like m6A from normalized MeRIP-seq data.

Can I visualize RNA modification context within specific transcripts?▼

Yes, you can visualize RNA modification context within specific transcripts. The workflow generates visualization outputs that map detected modification signals directly onto representative transcript structures.

Do I need input reads and transcript annotations to start RNA modification analysis?▼

Yes, you need modification-enriched reads, input reads, and transcript annotations to start RNA modification analysis. These inputs are required for data normalization and accurate peak-calling.

Are reproducibility notes included when detecting transcriptome-wide RNA modifications?▼

Yes, reproducibility notes are included when detecting transcriptome-wide RNA modifications. The workflow provides visualization outputs with clear provenance to ensure data normalization results are traceable.

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