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        "author": "Alex Lubbock",
        "author_email": "code@alexlubbock.com",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Chemistry",
            "Topic :: Scientific/Engineering :: Medical Science Apps."
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        "description": "# Thunor\n\n**Thunor** (pronounced THOO-nor) is a free software platform for managing,\nvisualizing, and analyzing high throughput screen (HTS) data, which measure\nthe dose-dependent response of cells to one or more drug(s).\nThunor has a web interface for drag-and-drop upload of cell count data, \nautomatic calculation of dose response curves, and an interactive\nmulti-panelled plot system.\n\nThis repository, Thunor Core, is a Python package which can be used for\nstandalone analysis or integration into computational pipelines.\n\n## Implementation\n\nThunor is written in pure Python and is compatible with Python 3 only.\nIt makes extensive use of [pandas](http://pandas.pydata.org/) and \n[plotly](http://plot.ly/python/).\n\n## Installation\n\nInstall using `pip`:\n\n```\npip install thunor\n```\n\n## Examples and documentation\n\nThe Thunor Core documentation is available [online](https://core.thunor.net),\nor you can build it locally for offline use. To do so, clone this git\nrepository and change into the `thunor` directory.\n\nTo build documentation locally, you'll need a few software dependencies:\n\n    pip install -r doc/requirements.txt\n\nThen, you can build the documentation like so:\n\n    cd doc\n    make html\n\nAfter the build completes, open _build/html/index.html in your web browser.\n\n## Tutorial\n\nTo manually work through the tutorial from the documentation above, you can\nopen the file with Jupyter Notebook:\n\n    jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 doc/tutorial.ipynb\n\n## Further help and resources\n\nSee the [Thunor website](https://www.thunor.net) for further links,\ndocumentation and related projects.",
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        "name": "thunor",
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        "summary": "Dose response curve and drug induced proliferation (DIP) rate fits and visualisation",
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