FastSL-py
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.
Release files for fastsl 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastsl-0.1.2.tar.gz | 21.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastsl-0.1.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 34.8 kB
Release files / fastsl-0.1.2.tar.gz
| Download URL | fastsl-0.1.2.tar.gz |
|---|---|
| Size | 21.0 kB |
| Tags | Source |
|
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No |
Release files / fastsl-0.1.2-py2.py3-none-any.whl
| Download URL | fastsl-0.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
