SysBioChalmers/sybil: Efficient Constrained Based Modelling
This Systems Biology Package (Gelius-Dietrich et. al. (2012) <doi:10.1186/1752-0509-7-125>) implements algorithms for constraint based analyses of metabolic networks, e.g. flux-balance analysis (FBA), minimization of metabolic adjustment (MOMA), regulatory on/off minimization (ROOM), robustness analysis and flux variability analysis. The package is easily extendable for additional algorithms. Most of the current LP/MILP solvers are supported via additional packages.
Getting started
Browse package contents
Package details |
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| Author | Mihail Anton [cre], Mayo Roettger [ctb], Gabriel Gelius-Dietrich [aut], C. Jonathan Fritzemeier [ctb], Rajen Piernikarczyk [ctb], Marc Andre Daxer [ctb], Benjamin Braasch [ctb], Abdelmoneim Desouki [ctb], Martin J. Lercher [ctb] |
| Maintainer | Mihail Anton <mihail.anton@chalmers.se> |
| License | GPL-3 | file LICENSE |
| Version | 2.2.1 |
| URL | https://www.cs.hhu.de/lehrstuehle-und-arbeitsgruppen/computational-cell-biology/software-contributions/sybil |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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