🧬 CleanVizBio

CleanVizBio is a web-based bioinformatics and data visualization tool built with Python and Streamlit. Designed for researchers, students, and data analysts, it simplifies the process of exploring, visualizing, and reporting scientific data — no coding required.

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🚀 Features

• 📂 Upload .csv or .tsv data files
• 🧹 Clean datasets by removing empty rows/columns and renaming headers
• 📊 Visualize data with:
  • Histogram
  • Box Plot
  • Scatter Plot
  • Heatmap (correlation)
  • PCA (Principal Component Analysis)
  • Volcano Plot for log2FC and p-values
• 📈 View PCA variance explained
• 💾 Download plots as .png
• 📄 Generate a Markdown analysis report summarizing stats, PCA, and dataset info

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📎 Report Export (Markdown)

Users can export a .md report containing:

• Dataset overview
• Summary statistics
• PCA results (if available)

This report can be:

• Opened in VS Code, Typora, or Dillinger.io
• Converted to PDF using tools like pandoc or Markdown editors

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🛠️ Tech Stack

• Python 3
• Streamlit
• Pandas, NumPy, Seaborn, Matplotlib
• Scikit-learn
• Tabulate (for Markdown formatting)

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📦 Run Locally

git clone https://github.com/VMansell92/CleanVizBio.git
cd CleanVizBio
python -m venv venv
venv\Scripts\activate     # (or source venv/bin/activate on Mac/Linux)
pip install -r requirements.txt
streamlit run app.py

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🔗 Live App

👉 https://cleanvizbio-4fr2zewe8ykbzmbzi9leor.streamlit.app

📄 License

MIT License

👩‍💻 Author

Victoria Mansell
🔗 GitHub @VMansell92
📫 vmansell92@gmail.com
🚀 Open to freelance and bioinformatics-related opportunities!