Efficient Constrained Based Modelling

This Systems Biology Package (Gelius-Dietrich et. al. (2012) ) 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.


#sybil - Efficient Constrained Based Modelling in R

The package sybil is a Systems Biology Library for R, implementing 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).

Please consider downloading and installing the package via the R internal package management: install.packages("sybil")

Alternatively you can visit the CRAN package website.

Reference manual

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install.packages("sybil")

2.2.0 by Mayo Roettger, 5 years ago


https://www.cs.hhu.de/lehrstuehle-und-arbeitsgruppen/computational-cell-biology/software-contributions/sybil


Browse source code at https://github.com/cran/sybil


Authors: 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]


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports methods

Depends on Matrix, lattice

Suggests glpkAPI, cplexAPI, clpAPI, lpSolveAPI, parallel, grid


See at CRAN