sybil: Efficient Constrained Based Modelling in R

This Systems Biology Library for R 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). Most of the current LP/MILP solvers are supported via additional packages.

Version: 1.3.2
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: 2015-11-17
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_1.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: sybil_1.3.0.tgz, r-oldrel: sybil_1.2.6.tgz
OS X Mavericks binaries: r-release: sybil_1.3.2.tgz
Old sources: sybil archive

Reverse dependencies:

Reverse depends: GlobalFit, RSeed, sybilccFBA, sybilcycleFreeFlux, sybilDynFBA, sybilEFBA, sybilSBML
Reverse suggests: abcdeFBA