Email updates   Open Access Highly Accessed Software  TIGER:
Toolbox for integrating genome-scale metabolic models,
expression data, and transcriptional regulatory networks  Paul A
Jensen, Kyla A Lutz and Jason A Papin*  Author Affiliations
For all author emails, please log on.  BMC Systems Biology 2011,
5:147  doi:10.1186/1752-0509-5-147  Published: 23 September 2011
Several methods have been developed for analyzing genome-scale
models of metabolism and transcriptional regulation. Many of
these methods, such as Flux Balance Analysis, use constrained
optimization to predict relationships between metabolic flux and
the genes that encode and regulate enzyme activity. Recently,
mixed integer programming has been used to encode these gene-
protein-reaction (GPR) relationships into a single optimization
problem, but these techniques are often of limited generality
and lack a tool for automating the conversion of rules to a
coupled regulatory/metabolic model.   We present TIGER, a
Toolbox for Integrating Genome