This package provides tools for parsing sequencing data, analyzing it, and presenting the results through a comprehensive Shiny application. It's designed to streamline the workflow for bioinformatics data processing and visualization.
- Data parsing from various formats
- Data analysis and preprocessing
- Visualization of sequencing data
- Shiny app for interactive data exploration
- Python 3.9
- R (version required by Shiny app)
- Conda (recommended for environment management)
-
Clone the repository:
git clone https://github.com/Ilya-Fradlin/GF-Sequencing.git cd GF-Sequencing -
Create a Conda environment:
conda create --name parser python=3.9 conda activate parser
-
Install the required Python packages:
pip install -r requirements.txt
-
Run the main script to parse data and generate the DataFrame:
python src/main.py
-
Start the Shiny app to visualize the data:
The included Shiny app provides an interactive interface to explore the sequencing data. Features include:
- Interactive plots and tables
- Data filtering and selection
This project is licensed under the Genomics Facility - Uniklinik Aachen.