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: 2.1.5
Depends: R (≥ 3.2.0), Matrix, lattice
Imports: methods
Suggests: glpkAPI (≥ 1.2.8), cplexAPI (≥ 1.2.4), clpAPI (≥ 1.2.4), lpSolveAPI (≥, parallel, grid
Published: 2019-03-07
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>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Citation: sybil citation info
Materials: README NEWS
CRAN checks: sybil results


Reference manual: sybil.pdf
Vignettes: sybil – Efficient Constrained Based Modelling in R
Package source: sybil_2.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sybil_2.1.5.tgz, r-oldrel: sybil_2.1.5.tgz
Old sources: sybil archive

Reverse dependencies:

Reverse depends: BacArena, GlobalFit, metaboGSE, RSeed, sybilccFBA, sybilcycleFreeFlux, sybilDynFBA, sybilSBML
Reverse imports: CoRegFlux, exp2flux, g2f
Reverse suggests: abcdeFBA, minval


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