Python package for analyzing and visualizing iModulons.
Project description
What is an iModulon?
To learn about iModulons, how they are computed, and what they can tell you, see our about page.
Installation
Since PyModulon is currently under development, the recommended method to install PyModulon is to use the editable pip installation. It is recommended to do this inside a virtual environment or in a conda environment. This is because we require Python 3.8 for certain functionalities.
To create the conda environment:
conda create -n pymodulon python=3.8 conda activate pymodulon
(Optional) Install other dependencies:
conda install -c anaconda graphviz conda install -c bioconda meme blast
Next, download the github repository:
git clone https://github.com/SBRG/pymodulon.git
Then install with pip using the -e flag:
python -m pip install -e .
This method of installation will automatically update your package each time you pull from this repository.
To update your code, run the following from your local PyModulon folder:
git pull
Documentation
The documentation for PyModulon can be found here.
Development
If you would like to assist in development, please install pre-commit to ensure code style and consistency.
Cite
Please cite the original E. coli iModulon paper: Sastry et al. Nature Communications. 2019.
If you use organism-specific datasets in your work, please cite these datasets:
Escherichia coli: Sastry et al. Nature Communications. 2019.
Bacillus subtilis: Rychel et al. Nature Communications. 2020.
Staphylococcus aureus: Poudel et al. PNAS. 2020.
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