Metadata-Version: 2.1
Name: igv-jupyter
Version: 2.0.1
Summary: Jupyter extension for embedding the igv.js genome visualization in a notebook
Home-page: https://github.com/g2nb/igv-jupyter
Author: Thorin Tabor
Author-email: tmtabor@cloud.ucsd.edu
License: MIT
Keywords: igv,bioinformatics,genomics,visualization,Jupyter,JupyterLab,JupyterLab3
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Framework :: Jupyter
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.md

# igv Jupyter Extension

[![Binder](https://beta.mybinder.org/badge.svg)](https://mybinder.org/v2/gh/g2nb/igv-jupyter/master)
=======


igv-jupyter is tool for [JupyterLab](http://jupyter.org/) which wraps [igv.js](https://github.com/igvteam/igv.js) and
integrates with [g2nb](https://github.com/g2nb/g2nb). With this tool you can render igv.js in a cell and call its API
from a user-friendly web form in the notebook. Track data can be loaded from local or remote URLs, or supplied directly.

For programmatic access to igv.js in a Jupyter notebook, see [igv-notebook](https://github.com/igvteam/igv-notebook).

## Installation

Requirements:

* python >= 3.6.4
* jupyterlab >= 3.0

```bash
pip install igv-jupyter
```


