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

m6anet requires Python version 3.8 or higher. To install the latest release with PyPI (recommended) run

$ pip install m6anet

See our documentation here!

We appreciate your feedback and questions! You can report any error or suggestion related to m6Anet as an issue on github. If you have questions related to the manuscript, data, or any general comment or suggestion please use the Discussions.

Thank you!

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

This package is developed and maintaned by Christopher Hendra and Jonathan Göke. If you want to contribute, please leave an issue. Thank you.

MIT