title: Models-of-data and models-of-processes in the post-genomic era.
abstract: As we are entering the post-genomic era, models-of-data, such as mining and filtering methods for gene sequences and microarrays and the clustering of co-expressed genes, must be complemented with models-of-processes that explain relationships between genomic information and phenomena at biochemical and physiological levels. Many of these models will have the structure of compartment models, whose conceptualization, identification and analysis will fundamentally benefit from the seminal work of John Jacquez. The article indicates with three vignettes that non-linear compartment models in the formulation of biochemical systems theory are viable candidates for post-genomic models-of-processes.
authors.affiliation: Department of Biometry and Epidemiology, Medical University of South Carolina, 135 Rutledge Avenue, Charleston, SC 29425, USA. voiteo@musc.edu
authors.forename: Eberhard O
authors.initials: EO
authors.lastname: Voit
mesh_terms: D000818:Animals; D019295:Computational Biology; D003198:Computer Simulation; D003628:Database Management Systems; D030541:Databases, Genetic; D016678:Genome; D006801:Humans; D008957:Models, Genetic; D011506:Proteins / Q000235:genetics / Q000378:metabolism
chemical_list: D011506:Proteins