title: Whole-genome metabolic network reconstruction and constraint-based modeling.
abstract: With the advent of modern high-throughput genomics, there is a significant need for genome-scale analysis techniques that can assist in complex systems analysis. Metabolic genome-scale network reconstructions (GENREs) paired with constraint-based modeling are an efficient method to integrate genomics, transcriptomics, and proteomics to conduct organism-specific analysis. This text explains key steps in the GENRE construction process and several methods of constraint-based modeling that can help elucidate basic life processes and development of disease treatment, bioenergy solutions, and industrial bioproduction applications.
authors.affiliation: Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
authors.forename: Charles R
authors.initials: CR
authors.lastname: Haggart
authors.forename: Jennifer A
authors.initials: JA
authors.lastname: Bartell
authors.forename: Jeffrey J
authors.initials: JJ
authors.lastname: Saucerman
authors.forename: Jason A
authors.initials: JA
authors.lastname: Papin
mesh_terms: D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D003198:Computer Simulation; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D008954:Models, Biological; D049490:Systems Biology