FastSL-py is an efficient algorithm to identify synthetic lethal gene/reaction sets in genome-scale metabolic models.
Project description
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
Basic requirement(s):
- Python 3.6 for Gurobi 8 - Python 3.5 for IBM CPLEX and Gurobi 7
Installation:
Use pip to install from PyPI (recommended inside a virtual environment):
pip install fastsl
Contribute:
Issue Tracker: <https://github.com/RamanLab/FastSL-py/issues>
Support:
If you are having issues, please let us know. Contact us at: <fast-sl@ramanlab.groups.io>
License:
The project is licensed under GPL v3 license.
Note:
CPLEX and Gurobi are not included. Both are available for free (for academic purposes). All solvers are supported whose interfaces are provided by optlang.
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