Metadata-Version: 2.1
Name: emperor
Version: 1.0.3
Summary: Emperor
Home-page: http://github.com/biocore/emperor
Author: Antonio Gonzalez Pena, Meg Pirrung & Yoshiki Vazquez Baeza
Author-email: yoshiki89@gmail.com
Maintainer: Emperor development team
Maintainer-email: yoshiki89@gmail.com
License: BSD-3-Clause
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: User Interfaces
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: OS Independent
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Description-Content-Type: text/markdown
Provides-Extra: all
Provides-Extra: doc
Provides-Extra: test
License-File: LICENSE.md

Emperor
=======

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Emperor is a next-generation tool for the analysis and visualization of large microbial ecology datasets. Amongst its many features, Emperor provides a modern user interface that can be rapidly adjusted to your data analysis workflow.

To start using Emperor, please refer to the [installation notes](INSTALL.md).

Before contributing code to Emperor, please familiarize yourself with the [contributing guidelines](CONTRIBUTING.md).

## Usage

You can start using Emperor through [QIIME 2](https://qiime2.org)'s [interfaces](https://docs.qiime2.org/2021.2/interfaces/) (the command line or the graphical user interface), or alternatively using the Python interface (compatible with the Jupyter notebook, see [this example](http://nbviewer.jupyter.org/github/biocore/emperor/blob/new-api/examples/keyboard.ipynb)). For more details, refer to our [online documentation](http://emperor.microbio.me).

## Publications

- [EMPeror: a tool for visualizing high-throughput microbial community data](https://www.ncbi.nlm.nih.gov/pubmed/24280061). GigaScience, 2013.

- [Bringing the Dynamic Microbiome to Life with Animations](https://www.ncbi.nlm.nih.gov/pubmed/28081445). Cell Host & Microbe, 2016.
