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: | 1.2 |
Depends: | R (≥ 2.12.0), sybil (≥ 1.1.7), methods |
Suggests: | cplexAPI (≥ 1.2.1) |
Published: | 2016-08-12 |
Author: | Daniel Hartleb |
Maintainer: | Daniel Hartleb <daniel.hartleb at hhu.de> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | GlobalFit results |
Reference manual: | GlobalFit.pdf |
Package source: | GlobalFit_1.2.tar.gz |
Windows binaries: | r-devel: GlobalFit_1.2.zip, r-release: GlobalFit_1.2.zip, r-oldrel: GlobalFit_1.2.zip |
OS X binaries: | r-release: GlobalFit_1.2.tgz, r-oldrel: GlobalFit_1.2.tgz |
Old sources: | GlobalFit archive |
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