Platform

tags: protein preprocessing postprocessing

Overview

📔 Documentation

Please check https://2003100127.github.io/pypropel for how to use PyPropel.

🛠️ Installation Steps

PyPropel can be installed in the following ways.

• (https://pypi.org/project/pypropel)

  conda create --name pypropel python=3.11
      
  conda activate pypropel
  
  pip install pypropel --upgrade
  

• (https://anaconda.org/Jianfeng_Sun/pypropel)

  conda create --name pypropel python=3.11
      
  conda activate pypropel
  
  conda install -c jianfeng_sun pypropel
  

• (https://hub.docker.com/repository/docker/2003100127/pypropel/general)

  docker pull 2003100127/pypropel:latest
  

• 

  conda create --name pypropel python=3.11
    
  conda activate pypropel
  
  git clone https://github.com/2003100127/pypropel.git
  
  cd pypropel
  
  pip install .
  

🚀 Get started

import pypropel as pp

📄 Citation

@article{pypropel,
   author = {Jianfeng Sun and Jinlong Ru and Adam P. Cribbs and Dapeng Xiong},
   doi = {10.1186/s12859-025-06079-3},
   issn = {1471-2105},
   issue = {1},
   journal = {BMC Bioinformatics},
   month = {3},
   pages = {70},
   title = {PyPropel: a Python-based tool for efficiently processing and characterising protein data},
   volume = {26},
   year = {2025},
}

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