title: Algorithm for the Construction of a Global Enzymatic Network to be Used for Gene Network Reconstruction.
abstract: Relationships between genes are best represented using networks constructed from information of different types, with metabolic information being the most valuable and widely used for genetic network reconstruction. Other types of information are usually also available, and it would be desirable to systematically include them in algorithms for network reconstruction. Here, we present an algorithm to construct a global metabolic network that uses all available enzymatic and metabolic information about the organism. We construct a global enzymatic network (GEN) with a total of 4226 nodes (EC numbers) and 42723 edges representing all known metabolic reactions. As an example we use microarray data for Arabidopsis thaliana and combine it with the metabolic network constructing a final gene interaction network for this organism with 8212 nodes (genes) and 4606,901 edges. All scripts are available to be used for any organism for which genomic data is available.
authors.affiliation: Universidad Nacional de Colombia, Department of Biology, Master Student, Universidad Nacional de Colombia-Sede Bogotá
authors.forename: Andrés
authors.initials: A
authors.lastname: Quintero
authors.affiliation: Universidad Nacional de Colombia, School of Mathematics, Associate Professor, Universidad Nacional de Colombia-Sede Medellín.
authors.forename: Jorge
authors.initials: J
authors.lastname: Ramírez
authors.affiliation: Universidad Nacional de Colombia, Department of Statistics, Master Student, Universidad Nacional de Colombia-Sede Bogotá
authors.forename: Luis Guillermo
authors.initials: LG
authors.lastname: Leal
authors.affiliation: Universidad Nacional de Colombia, Department of Statistics, Associate Professor, Universidad Nacional de Colombia-Sede Bogotá, Colombia.
authors.forename: Liliana
authors.initials: L
authors.lastname: López-Kleine
keywords: EC number; Gene network reconstruction; Global enzymatic network; KEGG; Perl.