title: Network Reconstitution for Quantitative Subnetwork Interaction Analysis.
abstract: A fundamental task in systems biology is to quantify the contributions of the systems' parts and their interactions. Here I describe a powerful concept and tool for this purpose: network reconstitution. Genotypes of an organism that represent all possible combinations of the subnetworks in question will be quantitatively phenotyped. The quantitative phenotype data is analyzed using an R script to obtain estimates for single subnetwork contributions and their interactions.
authors.affiliation: Department of Plant and Microbial Biology, Microbial and Plant Genomics Institute, University of Minnesota, 1500 Gortner Ave, St. Paul, MN, 55108, USA. katagiri@umn.edu.
authors.forename: Fumiaki
authors.initials: F
authors.lastname: Katagiri
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D053263:Gene Regulatory Networks; D005838:Genotype; D010641:Phenotype; D057865:Plant Immunity; D025941:Protein Interaction Mapping; D049490:Systems Biology / Q000379:methods*
keywords: Combinatorial genotypes; Network reconstitution; Quantitative phenotype; Signaling allocation; Subnetwork interactions