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FastSL-py is an efficient algorithm to identify synthetic lethal gene/reaction sets in genome-scale metabolic models.

Project description

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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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