FastSL-py is an efficient algorithm to identify synthetic lethal gene/reaction sets in genome-scale metabolic models.
This is the Python implementation of FastSL, an efficient algorithm to identify synthetic lethal gene/reaction sets in genome-scale metabolic models.
This package is based on cobrapy and provides a simple command-line tool.
For documentation, please visit: http://fastsl-py.readthedocs.io
- Python 3.6 for Gurobi 8 - Python 3.5 for IBM CPLEX and Gurobi 7
Use pip to install from PyPI (recommended inside a virtual environment):
pip install fastsl
- Issue Tracker: <https://github.com/RamanLab/FastSL-py/issues>
If you are having issues, please let us know. Contact us at: <email@example.com>
The project is licensed under GPL v3 license.
CPLEX and Gurobi are not included. Both are available for free (for academic purposes). All solvers are supported whose interfaces are provided by optlang.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size fastsl-0.1.2-py2.py3-none-any.whl (13.8 kB)||File type Wheel||Python version py2.py3||Upload date||Hashes View|
|Filename, size fastsl-0.1.2.tar.gz (21.0 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for fastsl-0.1.2-py2.py3-none-any.whl