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comment out pypi instructions until it is there
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pmendes committed Oct 30, 2024
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Expand Up @@ -18,21 +18,23 @@ Practical uses of *sbmodelr* include:
- use a gene transcription model to create a gene regulatory network
- use a neuron model (e.g. the Hodgkin-Huxley) to create a network of neurons

The output of this program is a new model file with the more complex model. It is expected that the user may still have to tune parts of the resulting model in a regular modeling tool, such as [COPASI](https://copasi.org), [VCell](https://vcell.org), etc, where the model will be used for simulations. (*sbmodelr* only creates models, it does not carry out any simulation)
The output of this program is a new model file with the more complex model. It is expected that the user may still have to tune parts of the resulting model in a regular modeling tool, such as [COPASI](https://copasi.org), [VCell](https://vcell.org), etc, where the model will be used for simulations. (*sbmodelr* only creates models, it does not carry out simulations.)

## Installation

The package works with python 3.7+, provided the package *copasi-basico*, that is freely available on pypi, is installed.
The package works with python 3.7+, provided the package *copasi-basico* is installed (freely available on pypi).

You can then install *sbmodelr* and all its dependencies by running `setup.py`.

<!--
Or you could directly install everything you need right from pypi
pip install sbmodelr
from this git repo:
pip install git+https://github.com/copasi/model_replicator.git
-->

## Usage

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