Metadata-Version: 2.1
Name: plateypus
Version: 0.5.0
Summary: Processes and plots high throughput cytometry experiments through a GUI
Home-page: https://github.com/soorajachar/plateypus
Author: Sooraj Achar
Author-email: acharsr@nih.gov
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: openpyxl
Requires-Dist: tables
Requires-Dist: pillow
Requires-Dist: importlib-metadata

![PLATEypusLogo](https://user-images.githubusercontent.com/49458891/116960335-185c1500-ac6e-11eb-92e0-369334eb7882.png)

A GUI to process and plot high throughput bulk cytokine, surface marker, and single cell data exported from Flowjo  
  
Main powerpoint tutorial for GUI is hosted on google drive:   
https://drive.google.com/file/d/1jt8ZlOiArbiVK-RyF1_rrS8swEYsqWae/view?usp=sharing

To use this package:
1. If anaconda is not installed, follow installation instructions here: https://docs.anaconda.com/anaconda/install/
2. Start terminal, type in and enter:
```
conda activate
```
3. Now install plateypus via PyPi by typing the following line in the terminal:
```
pip install plateypus
```
4. In this anaconda environment, type: 
```
python3 -m plateypus
```
to start the GUI
