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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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