# SCARCCpy - Simulation of Combined Antibiotics in Cross-feeding Communities
SCARCC is a python package developed by the Harcombe Lab designed to identify synergistic interactions between antibiotics within our two-species cross-feeding microbial community.
This package utilizes [COBRA](https://github.com/opencobra/cobrapy) to analyze the perturbation effects caused by antibiotics in the genome-scale metabolic network using Flux Balance Analysis (FBA), and [COMETS](https://github.com/segrelab/cometspy) simulations to incorporate multispecies growth simulation using Dynamic Flux Balance Analysis (dFBA).
# Documentation
The documentation is at [readthedocs](https://scarccpy.readthedocs.io/en/latest/index.html)
# Installation
[Python version](https://www.python.org/downloads/release/python-3100/) greater than Python 3.10 is required.
Use pip to install, use of [virtual environment](http://docs.python-guide.org/en/latest/dev/virtualenvs/) is encouraged.
For more detail setting up in MSI, see [INSTALL.rst](https://github.com/TFwongw/scarccpy/blob/main/INSTALL.rst)
```py
pip install scarcc
```
# License
The SCARCC source code is available under the MIT License.
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"description": "\r\n# SCARCCpy - Simulation of Combined Antibiotics in Cross-feeding Communities\r\n\r\nSCARCC is a python package developed by the Harcombe Lab designed to identify synergistic interactions between antibiotics within our two-species cross-feeding microbial community. \r\n\r\nThis package utilizes [COBRA](https://github.com/opencobra/cobrapy) to analyze the perturbation effects caused by antibiotics in the genome-scale metabolic network using Flux Balance Analysis (FBA), and [COMETS](https://github.com/segrelab/cometspy) simulations to incorporate multispecies growth simulation using Dynamic Flux Balance Analysis (dFBA). \r\n\r\n\r\n# Documentation\r\nThe documentation is at [readthedocs](https://scarccpy.readthedocs.io/en/latest/index.html)\r\n\r\n\r\n# Installation\r\n\r\n[Python version](https://www.python.org/downloads/release/python-3100/) greater than Python 3.10 is required.\r\n\r\nUse pip to install, use of [virtual environment](http://docs.python-guide.org/en/latest/dev/virtualenvs/) is encouraged. \r\n\r\nFor more detail setting up in MSI, see [INSTALL.rst](https://github.com/TFwongw/scarccpy/blob/main/INSTALL.rst)\r\n\r\n```py\r\npip install scarcc\r\n```\r\n# License\r\nThe SCARCC source code is available under the MIT License.\r\n",
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