Metadata-Version: 2.1
Name: gillespy2
Version: 1.0.2
Summary: Python interface for Gillespie style biochemical simulations
Home-page: https://gillespy2.github.io/GillesPy2/
Author: Brian Drawert, Kevin Sanft, Sean Matthew, George Hall, Dalton Nickerson
Author-email: bdrawert@unca.edu
License: GPL
Download-URL: https://github.com/GillesPy2/GillesPy2/tarball/master/
Keywords: gillespy2,gillespie algorithm,biochemical simulation
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy

# Gillespy2

<bq>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Every living thing is composed of complex interlocking systems. These systems determine how tall a tree grows, how bright a firefly is, and how an immune system fights diseases. Systems are composed of a variety of biochemical compounds that interacting in complex ways, creating or breaking into new compounds in response to the environment around them. Quantifying and observing the behavior of these systems requires us to abstract the behavior of these interactions, but even this simplification can be difficult to understand and quantify mathematically.Software libraries exist to assist researchers in this field, but many are so complex in operation that require an in-depth understanding of computer science to utilize or they do not offer specific capabilities that the system of inquiry requires.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;We present GillesPy2, a software library intended to solve the needs of many scientists; from the result seeking wet-lab biologist to the performance seeking bioinformatician. GillesPy2 is a next-generation of the original GillesPy library, an open source cross-platform Python library used for creating statistically correct trajectories for biochemical ordinary differential equations. GillesPy2 has been designed with a focus on providing both ease of use and clarity to the end user, using a unique modular solver system that allows the end user to specify the algorithm to solve their system of inquiry. This granularity is coupled with high-level functionality allowing the researcher to communicate and export their findings seamlessly.
</bq>

## Build Status

| Master Branch |  Develop Branch |
|----------------|---|
| [![Build Status](https://travis-ci.org/GillesPy2/GillesPy2.svg?branch=master)](https://travis-ci.org/GillesPy2/GillesPy2) | [![Build Status](https://travis-ci.org/GillesPy2/GillesPy2.svg?branch=develop)](https://travis-ci.org/GillesPy2/GillesPy2) |


## Installation
Please install gillespy2 through the following methods.

### Linux

```
python3 -m pip install --upgrade pip
python3 -m pip install gillespy2
```
### Mac
(Pip should work, same as Linux)

### Windows
(Pip should work, same as Linux)

## Deployment


## Built With

* [Numpy](http://www.numpy.org/)
* [Scipy](https://www.scipy.org/)
* [MatplotLib](https://matplotlib.org/index.html)

## Contributing

If you have any problems, or want to request a feature, please submit an issue to this repository.  If you want to contributed to GillesPy2, please send a pull request.  If you have any questions, contact Brian Drawert.

## Authors

* **Dr. Brian Drawert** 
* **Dr. Kevin Sanft**
* **Ghilman Brock**  
* **Eliot Dixon**  
* **Dalton Nickerson**  
* **Sean Matthew**
* **George Hall** 
* **W.R. Jackson** 

## License

GillesPy2 is licenced under GPLv3, see [LICENCE] for details.


## Acknowledgments
This work has been funded by National Institutes of Health (NIH) NIBIB Award No. 2R01EB014877-04A1



