<p align="center">
  <img src="docs/images/banner.png">
</p>

<hr>

<p align="center">

  <a href="https://mybinder.org/v2/gh/GangCaoLab/CoolBox/master?filepath=tests%2FTestRegion.ipynb">
    <img src="https://mybinder.org/badge_logo.svg" alt="Binder" />
  </a>
  
  <a href="https://anaconda.org/bioconda/coolbox">
    <img src="https://anaconda.org/bioconda/coolbox/badges/installer/conda.svg" alt="Install with conda" />
  </a>
  
  <a href="https://github.com/GangCaoLab/CoolBox/actions?query=workflow%3A%22Python+Package+using+Conda%22">
    <img src="https://github.com/GangCaoLab/CoolBox/workflows/Python%20Package%20using%20Conda/badge.svg" alt="Python Package using Conda" />
  </a>
  
  <a href="https://gangcaolab.github.io/CoolBox/index.html">
    <img src="https://readthedocs.org/projects/ansicolortags/badge/?version=latest" alt="Documentation Status" />
  </a>
</p>

WIP

Flexible, user-friendly genomic data visualization toolkit. 

![](docs/images/title.png)

Highlights:

* Multi-omics data interactively visualization.
* User-friendly [API (ggplot2-like Python EDSL)](https://gangcaolab.github.io/CoolBox/quick_start_API.html) and [CLI](https://gangcaolab.github.io/CoolBox/quick_start_CLI.html).
* Show within Jupyter notebook.
* Ease to fetch data and in cooperation with other Python package.
* Ease to implement/add custom track and integrate into CoolBox.

More details please read the [documentation](https://gangcaolab.github.io/CoolBox/index.html).
Interactively online demo: [binder](https://mybinder.org/v2/gh/GangCaoLab/CoolBox/master?filepath=tests%2FTestRegion.ipynb)

Thanks

+ [pyGenomeTracks](https://github.com/deeptools/pyGenomeTracks),
CoolBox's plot system is fork from it.


