GlobalFit: Bi-Level Optimization of Metabolic Network Models

Initial metabolic networks often inaccurately predict in-silico growth or non-growth if compared to in-vivo data. This package refines metabolic network models by making networks changes (i.e., removing, adding, changing reversibility of reactions; adding and removing biomass metabolites) and simultaneously matching sets of experimental growth and non-growth data (e.g., KO-mutants, mutants grown under different media conditions,...)

Version: 1.0
Depends: R (≥ 2.12.0), sybil (≥ 1.1.7), methods
Suggests: cplexAPI (≥ 1.2.1)
Published: 2015-04-29
Author: Daniel Hartleb
Maintainer: Daniel Hartleb <daniel.hartleb at hhu.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: GlobalFit results

Downloads:

Reference manual: GlobalFit.pdf
Package source: GlobalFit_1.0.tar.gz
Windows binaries: r-devel: GlobalFit_1.0.zip, r-release: GlobalFit_1.0.zip, r-oldrel: GlobalFit_1.0.zip
OS X Snow Leopard binaries: r-release: GlobalFit_1.0.tgz, r-oldrel: GlobalFit_1.0.tgz
OS X Mavericks binaries: r-release: GlobalFit_1.0.tgz