autoreduce 0.1.0

Python based automated model reduction tools for SBML models

# Automated Model Reduction Tool for SBML models ## Python toolbox to automatically obtain reduced model expressions using time-scale separation, conservation laws, and other assumptions.

[](https://travis-ci.com/ayush9pandey/AutoReduce) [](https://codecov.io/gh/ayush9pandey/AutoReduce) [](https://badge.fury.io/py/autoreduce)

Refer to the [bioRxiv paper](https://www.biorxiv.org/content/10.1101/2020.02.15.950840v2.full.pdf) for more details. To run - Go through tutorial files inside tutorials folder then check out some common examples in the examples folder. To check if different tools are working properly, run tests. Contact : Ayush Pandey (apandet at caltech dot edu) for any feedback or suggestions.

• Website: https://github.com/ayush9pandey/AutoReduce

• Paper: [Introduction](https://www.biorxiv.org/content/10.1101/640276v1.full), [Toolbox](https://www.biorxiv.org/content/10.1101/2020.02.15.950840v2.full.pdf)

• Source: https://github.com/ayush9pandey/autoreduce

• Bug reports: https://github.com/ayush9pandey/autoreduce/issues

• Documentation: Coming Soon on: [autoreduce.readthedocs.io](https://readthedocs.org/projects/autoreduce/)

# Simple example

# Installation

Install the latest version of AutoReduce:

$ pip install autoreduce

Install with all optional dependencies:

$ pip install autoreduce[all]

# Bugs Report any bugs that you find [here](https://github.com/ayush9pandey/autoreduce/issues). You can also fork the repository on [GitHub](https://github.com/ayush9pandey/autoreduce), and the create a pull request (PR) with any changes. We welcome all changes, big or small, and we will help you make the PR if you are new to git (just create a new issue)

# Versions

AutoReduce versions:

• 0.1.0 (alpha release): To install run pip install autoreduce==0.1.0

# License Released under the BSD 3-Clause License (see LICENSE)

Copyright (c) 2020, Ayush Pandey. All rights reserved.