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        "description": "# Sungear\n\n## Introduction\n\nSungear visulization.\n\n## Install\n\n```bash\n# if you want the standalone web app\n$ pip install sungear[web]\n\n# if you only want to use the python fuctions\n$ pip install sungear\n\n```\n\n## Example\n\n### See It In Action\n\nhttps://sungear.herokuapp.com/\n\n### Standalone Web App\n\n```bash\n$ python -m sungear\n```\n\nThen open browser to http://localhost:5000 to use.\n\n### Python Functions\n\n```python\nimport sungear\n\nitem_lists = {\n    'name1': ['item1', 'item2', ...],\n    'name2': ['item1', 'item2', ...],\n}\n\nresult = sungear.sungear(item_lists)\n```\n\nThis contains coordinates of nodes and vertices.\n\n## Development Notes\n\n```bash\n# clone with submodules\n$ git clone --recurse-submodules https://github.com/zachary822/sungear.git\n# build web assets\n$ python setup.py webpack\n```\n\n## License\n\n[MIT](./LICENSE)\n\n## Reference\n\n1. Christopher S. Poultney, Rodrigo A. Guti\u00e9rrez, Manpreet S. Katari, Miriam L. Gifford, W. Bradford Paley, Gloria M. Coruzzi, Dennis E. Shasha, Sungear: interactive visualization and functional analysis of genomic datasets, Bioinformatics, Volume 23, Issue 2, 15 January 2007, Pages 259\u2013261, https://doi.org/10.1093/bioinformatics/btl496\n\n\n",
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