Overview

TMKit is a scalable Python programming interface holding a bundle of function modules to allow a variety of transmembrane protein studies.

Documentation

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.

Installation

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==0.0.3

For more ways to install TMKit, please refer to here.

Citation

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},
}

Contact

Jianfeng Sun: jianfeng.sunmt@gmail.com | jianfeng.sun@ndorms.ox.ac.uk