TMKit is a scalable Python programming interface holding a bundle of function modules to allow a variety of transmembrane protein studies.
Website: https://tmkit-guide.herokuapp.com/doc/overview
Source: https://github.com/2003100127/tmkit-guide
We also provided a jupyter notebook (examples.ipynb) to demonstrate the usage of TMKit.
We recommend using pip to install TMKit.
# create a conda environment
conda create --name tmkit python=3.11
# activate the conda environment
conda activate tmkit
# a stable version 0.0.2 and 0.0.3 (recommended)
pip install tmkit==0.0.3For more ways to install TMKit, please refer to here.
Jianfeng Sun, Arulsamy Kulandaisamy, Jinlong Ru, M Michael Gromiha, Adam P Cribbs, TMKit: a Python interface for computational analysis of transmembrane proteins, Briefings in Bioinformatics, Volume 24, Issue 5, September 2023, bbad288, https://doi.org/10.1093/bib/bbad288
@article{10.1093/bib/bbad288,
author = {Sun, Jianfeng and Kulandaisamy, Arulsamy and Ru, Jinlong and Gromiha, M Michael and Cribbs, Adam P},
title = {TMKit: a Python interface for computational analysis of transmembrane proteins},
journal = {Briefings in Bioinformatics},
volume = {24},
number = {5},
pages = {bbad288},
year = {2023},
month = {08},
issn = {1477-4054},
doi = {10.1093/bib/bbad288},
url = {https://doi.org/10.1093/bib/bbad288},
eprint = {https://academic.oup.com/bib/article-pdf/24/5/bbad288/51711304/bbad288.pdf},
}Jianfeng Sun: jianfeng.sunmt@gmail.com | jianfeng.sun@ndorms.ox.ac.uk