Metadata-Version: 2.1
Name: thunor
Version: 0.1.27
Summary: Dose response curve and drug induced proliferation (DIP) rate fits and visualisation
Home-page: https://www.thunor.net
Author: Alex Lubbock
Author-email: code@alexlubbock.com
License: UNKNOWN
Description: # Thunor
        
        **Thunor** (pronounced THOO-nor) is a free software platform for managing,
        visualizing, and analyzing high throughput screen (HTS) data, which measure
        the dose-dependent response of cells to one or more drug(s).
        Thunor has a web interface for drag-and-drop upload of cell count data, 
        automatic calculation of dose response curves, and an interactive
        multi-panelled plot system.
        
        This repository, Thunor Core, is a Python package which can be used for
        standalone analysis or integration into computational pipelines.
        
        ## Implementation
        
        Thunor is written in pure Python and is compatible with Python 3 only.
        It makes extensive use of [pandas](http://pandas.pydata.org/) and 
        [plotly](http://plot.ly/python/).
        
        ## Installation
        
        Install using `pip`:
        
        ```
        pip install thunor
        ```
        
        ## Examples and documentation
        
        The Thunor Core documentation is available [online](https://core.thunor.net),
        or you can build it locally for offline use. To do so, clone this git
        repository and change into the `thunor` directory.
        
        To build documentation locally, you'll need a few software dependencies:
        
            pip install -r doc/requirements.txt
        
        Then, you can build the documentation like so:
        
            cd doc
            make html
        
        After the build completes, open _build/html/index.html in your web browser.
        
        ## Tutorial
        
        To manually work through the tutorial from the documentation above, you can
        open the file with Jupyter Notebook:
        
            jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 doc/tutorial.ipynb
        
        ## Further help and resources
        
        See the [Thunor website](https://www.thunor.net) for further links,
        documentation and related projects.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Description-Content-Type: text/markdown
