Metadata-Version: 1.2
Name: m6anet
Version: 0.1.1
Summary: m6anet is a python package for detection of m6a modifications from Nanopore direct RNA sequencing data.
Home-page: https://github.com/GoekeLab/m6anet
Author: Christopher Hendra
Maintainer-email: christopher.hendra@u.nus.edu
License: MIT
Description: # m6anet
        ![alt text](https://github.com/GoekeLab/m6anet/blob/master/figures/m6anet_logo.png "m6anet")
        
        m6anet is a python tool to detect m6a modifications from Nanopore Direct RNA Sequencing data
        
        ### Installation
        
        m6anet requires [Python3](https://www.python.org). To install the latest release with PyPI (recommended) run
        
        ```sh
        $ pip install m6anet
        ```
        
        Alternatively, one can clone this repository and install via setup.py
        
        ```sh
        $ git clone git@github.com:GoekeLab/m6anet.git
        $ cd m6anet
        $ python setup.py install
        $ pip install -r requirements.txt 
        ```
        
        See our documentation [here](https://m6anet.readthedocs.io/)!
        
        ### Citing m6Anet 
        
        If you use m6Anet in your research, please use the following DOI for citation:
        
        [![DOI](https://zenodo.org/badge/281866292.svg)](https://zenodo.org/badge/latestdoi/281866292)
        
        Christopher Hendra, & Yuk Kei Wan. (2021, April 15). GoekeLab/m6anet: Pre-release (Version Pre-release). Zenodo. http://doi.org/10.5281/zenodo.4692776
        
        ### Contributors
        
        This package is developed and maintaned by [Christopher Hendra](https://github.com/chrishendra93) and [Jonathan Göke](https://github.com/jonathangoeke). If you want to contribute, please leave an issue. Thank you.
        ### License
        MIT
        
        
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
