This repository contains an example of using DESeq2
in Python for differential gene expression analysis.
DESeq2 is a widely used tool for differential gene expression (DGE)
analysis in RNA-Seq data, and it is mainly implemented in R.
However, you can use rpy2, a Python library that allows you to run R code. If you want to learn more about RNA-seq analysis, I highly recommend, visiting RNA-seqlopedia. This comprehensive resource provides valuable insights into RNA-seq, covering everything from basic concepts to advanced techniques. It's an excellent starting point for anyone looking to deepen their understanding of RNA-seq analysis.
To run the DESeq2 example in Python, Ensure you have installed R
on your system, and install the required packages. Follow these steps:
-
Install required packages:
pip install -r requirements.txt
-
Install DESeq2:
# Open R and run the following command to install DESeq2 if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DESeq2")
To run the DESeq2 analysis, follow these steps:
-
Prepare your count data: Ensure your count data is in a CSV file format. An example file is provided in the repository.
-
Run the DESeq2 script:
python run_deseq2.py
-
Analyze the results: The results will be saved in your provided path or directory. You can use the provided
analyze_results.py
script to generate plots and interpret results.python analyze_results.py
Data/filtered_gene_expression_counts.csv
: Example count data for DESeq2 analysis.Data/deseq2_results.csv
: Example of the result.Code/run_deseq2.py
: Script to run DESeq2 analysis.Code/analyze_results.py
: Script to analyze DESeq2 results and generate plots.requirements.txt
: List of Python dependencies.README.md
: This file.
If you would like to contribute to this project, please fork the repository and submit a pull request. For major changes, please open an issue to discuss what you would like to change.
Thanks for visiting this repository! If you have any questions or feedback, feel free to contact me at [ptlsugam@gmail.com].
Thank you for visiting this repository. Your feedback and contributions are greatly appreciated. Feel free to reach out if you have any suggestions for improvements or new features.
This repository is licensed under the MIT License. See the LICENSE file for details.