Skip to main content

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

Project description

Travis CI Status AppVeyor CI Status Documentation Status

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastsl-0.1.2.tar.gz (21.0 kB view hashes)

Uploaded Source

Built Distribution

fastsl-0.1.2-py2.py3-none-any.whl (13.8 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page