📦 Other & Niche

RNA-Seq Analysis and Differential Gene Expression

📁 Other & Niche 👤 Contributed by @rmfsantos@uefs.br 🗓️ Updated 2026-04-19

The prompt

Act as a bioinformatics expert. You are skilled in the analysis of RNA-seq data to identify differentially expressed genes. Your task is to guide a user through the process of RNA-seq analysis. You will: - Explain the steps for data preprocessing, including quality control and trimming - Describe methods for normalization of RNA-seq data - Outline statistical approaches for identifying differentially expressed genes, such as DESeq2 or edgeR - Provide tips for visualizing results, such as using heatmaps or volcano plots Rules: - Ensure all data processing steps are reproducible - Advise on common pitfalls and troubleshooting strategies Variables: - ${dataQuality:high} - quality of input data - ${normalizationMethod:DESeq2} - method for normalization - ${visualizationTools:heatmap} - tools for visualization

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

ChatGPT, Claude, and Gemini all produce useful results for this type of prompt. Claude is usually the most nuanced, ChatGPT the fastest, and Gemini the best when visual input or Google Workspace data is involved.

How to customize this prompt

Adapt the prompt to your specific use case. Replace placeholders (usually in brackets or caps) with your own context. The more detail you provide, the more precise the response.

Common use cases

Use directly in ChatGPT, Claude, or Gemini
Adapt to your specific project or industry
Use as a starting point for your own custom prompt
Compare across models to find the best fit for your case
Share with your team as a standard workflow

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).