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: 2.0.4
Depends: R (≥ 2.14.2), Matrix, lattice
Imports: methods
Suggests: glpkAPI (≥ 1.2.8), cplexAPI (≥ 1.2.4), clpAPI (≥ 1.2.4), lpSolveAPI (≥, parallel, grid
Published: 2017-07-19
Author: C. Jonathan Fritzemeier [cre, ctb], Gabriel Gelius-Dietrich [aut], Rajen Piernikarczyk [ctb], Marc Andre Daxer [ctb], Benjamin Braasch [ctb], Abdelmoneim Desouki [ctb], Martin J. Lercher [ctb]
Maintainer: C. Jonathan Fritzemeier <clausjonathan.fritzemeier 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_2.0.4.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
OS X binaries: r-prerel: sybil_2.0.4.tgz, r-release: sybil_2.0.0.tgz
Old sources: sybil archive

Reverse dependencies:

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


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