Topological and statistical analyses of gene regulatory networks reveal unifying yet quantitatively different emergent properties.

ABSTRACT: Understanding complexity in physical, biological, social and information systems is predicated on describing interactions amongst different components. Advances in genomics are facilitating the high-throughput identification of molecular interactions, and graphs are emerging as indispensable tools in explaining how the connections in the network drive organismal phenotypic plasticity. Here, we describe the architectural organization and associated emergent topological properties of gene regulatory networks (GRNs) that describe protein-DNA interactions (PDIs) in several model eukaryotes. By analyzing GRN connectivity, our results show that the anticipated scale-free network architectures are characterized by organism-specific power law scaling exponents. These exponents are independent of t

SUBMITTER: Ouma WZ 

PROVIDER: S-EPMC5945062 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature