diff-visualizer

Community

Visualize RNA-seq and scRNA differential expression results with ease.

AuthorMubasherMohammed
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the process of visualizing RNA-seq and single-cell RNA-seq differential expression results, enabling users to quickly generate publication-quality figures and reports.

Core Features & Use Cases

  • Bulk RNA Visualization: Generate volcano plots, MA plots, top-gene bars, and heatmaps for bulk RNA-seq differential expression.
  • scRNA Visualization: Create dataset-level contrast volcanoes, within-cluster comparison panels, marker ranking bars, and AnnData-based enhancement plots for single-cell RNA-seq.
  • Reporting: Automatically generate HTML/Markdown reports, including report.md, report.html, result.json, and reproducibility files.
  • Use Case: Suppose you have completed a bulk RNA-seq analysis and want to visualize the results. You can use this Skill to automatically generate a comprehensive report with all relevant figures and tables.

Quick Start

Run the diff-visualizer skill with the input file 'de_results.csv' and output the report to 'output_report'.

Dependency Matrix

Required Modules

pandasnumpymatplotlibanndatascanpypypdfpdfplumberpdf2image

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: diff-visualizer
Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#diff-visualizer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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