Metadata-Version: 2.1
Name: loica
Version: 1.0.1
Summary: LOICA: Logical Operators for Integrated Cell Algorithms
Home-page: https://github.com/RudgeLab/LOICA
Author: Gonzalo Vidal
Author-email: gsvidal@uc.cl
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: networkx
Requires-Dist: pandas
Requires-Dist: sbol3
Requires-Dist: tyto
Requires-Dist: tdqm

# LOICA

Welcome to the LOICA (Logical Operators for Integrated Cell Algorithms) repository, our Python package for designing, modeling and characterizing genetic networks.

<img src="/images/LOICA_Logo.svg" alt="LOICA logo" width="250"/>

As you may have noticed, our logo features a beautiful bird—loica _[(Leistes loyca)](https://en.wikipedia.org/wiki/Long-tailed_meadowlark)_; a bird native to Chile known for its particular red chest and with which we share name.

## Instalation

Installing LOICA is way easier than pronuncing it! Please refer to our [Wiki](https://github.com/RudgeLab/LOICA/wiki) for installation instructions.

## LOICA allows you to:

- Compile Code into DNA fragments that execute Cell Algorithms
- Easy programation of genetic network models
- Generation of synthetic data
- Communicate with Flapjack
- Use and output SBOL files
- Use all sorts of cellular computation
- Easy, fluid and customisable DNA design

## Tutorials

Now that you have LOICA installed you can familiarize yourself with the tool using the [Jupyter notebook tutorials](https://github.com/RudgeLab/LOICA/tree/master/notebooks) designed for this purpose.


