Metadata-Version: 2.4
Name: loica
Version: 1.0.7
Summary: LOICA: Logical Operators for Integrated Cell Algorithms
Author-email: Gonzalo Vidal <g.a.vidal-pena2@ncl.ac.uk>, Timothy Rudge <tim.rudge@ncl.ac.uk>
Maintainer-email: Gonzalo Vidal <g.a.vidal-pena2@ncl.ac.uk>
License: MIT License
        
        Copyright (c) 2022 LOICA developers
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/RudgeLab/LOICA
Project-URL: Bug Tracker, https://github.com/RudgeLab/LOICA/issues
Keywords: loica,genetic,GDA,design,synthetic biology
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: networkx
Requires-Dist: pandas
Requires-Dist: sbol3
Requires-Dist: tyto
Requires-Dist: tqdm
Provides-Extra: test
Requires-Dist: pytest<5.0.0; extra == "test"
Requires-Dist: pytest-cov[all]; extra == "test"
Dynamic: license-file

# LOICA

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

<img src="https://github.com/RudgeLab/LOICA/blob/master/images/LOICA_Logo.svg#gh-light-mode-only" alt="LOICA logo" width="250"/>
<img src="https://github.com/RudgeLab/LOICA/blob/master/images/LOICA_Logo_night.svg#gh-dark-mode-only" alt="LOICA night logo" width="250"/>


![PyPI](https://img.shields.io/pypi/v/loica)
[![Documentation Status](https://readthedocs.org/projects/loica/badge/?version=latest)](https://loica.readthedocs.io/en/latest/)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/loica)
![PyPI - License](https://img.shields.io/pypi/l/loica)

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 legendary kindness, with which we share name[.](https://youtu.be/qDL3zhB8-MM)

## Reference and citation

LOICA is an academic open source software for science, if you want to reference or cite it please use the following:

DOI https://doi.org/10.1021/acssynbio.1c00603

Get the BibTeX in [Google Scholar](https://scholar.google.com/scholar?hl=es&as_sdt=0%2C5&q=LOICA%3A+Integrating+Models+with+Data+for+Genetic+Network+Design+Automation&btnG=) 

## Installation

Installing LOICA is way easier than pronuncing it! 

Do:

`pip install loica`

For more details please refer to our [Wiki](https://github.com/RudgeLab/LOICA/wiki) for installation instructions and developer guides.

## 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

## Documentation

 Please visit our documentation with API reference at Read the Docs: [loica.readthedocs.io](https://loica.readthedocs.io/en/latest/).

## 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.

Run LOICA on the web without any installation! [LOICA Colab Notebook](https://drive.google.com/file/d/1xxxMS5amaTGY2Z09i5h03zMr2J2zGiwg/view?usp=sharing)

You can use and modify this code by saving a copy in Drive.
