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.
Version: |
2.2.0 |
Depends: |
R (≥ 3.2.0), Matrix, lattice |
Imports: |
methods |
Suggests: |
glpkAPI (≥ 1.2.8), cplexAPI (≥ 1.2.4), clpAPI (≥ 1.2.4), lpSolveAPI (≥ 5.5.2.0), parallel, grid |
Published: |
2021-05-31 |
Author: |
Mayo Roettger [cre],
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: |
Mayo Roettger <mayo.roettger at hhu.de> |
License: |
GPL-3 | file LICENSE |
URL: |
https://www.cs.hhu.de/lehrstuehle-und-arbeitsgruppen/computational-cell-biology/software-contributions/sybil |
NeedsCompilation: |
no |
Citation: |
sybil citation info |
Materials: |
README NEWS |
CRAN checks: |
sybil results |
Documentation:
Downloads:
Reverse dependencies:
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