m6anet 2.0.1

m6anet is a python package for detection of m6a modifications from Nanopore direct RNA sequencing data.

# m6anet 

m6anet is a python tool that leverages Multiple Instance Learning framework to detect m6a modifications from Nanopore Direct RNA Sequencing data

### Installation

m6anet requires [Python version 3.7 or higher](https://www.python.org). To install the latest release with PyPI (recommended) run

`sh $ pip install m6anet ` See our documentation [here](https://m6anet.readthedocs.io/)!

### Getting help We appreciate your feedback and questions! You can report any error or suggestion related to m6Anet as an issue on [github](https://github.com/GoekeLab/m6anet/issues). If you have questions related to the manuscript, data, or any general comment or suggestion please use the [Discussions](https://github.com/GoekeLab/m6anet/discussions).

Thank you! ### Citing m6Anet

If you use m6Anet in your research, please cite [Christopher Hendra, et al.,Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework. Nat Methods (2022)](https://doi.org/10.1038/s41592-022-01666-1)

### 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