title: GIANT: a cytoscape plugin for modular networks.
abstract: Network analysis provides deep insight into real complex systems. Revealing the link between topological and functional role of network elements can be crucial to understand the mechanisms underlying the system. Here we propose a Cytoscape plugin (GIANT) to perform network clustering and characterize nodes at the light of a modified Guimerà-Amaral cartography. This approach results into a vivid picture of the a topological/functional relationship at both local and global level. The plugin has been already approved and uploaded on the Cytoscape APP store.
authors.affiliation: Institute for System Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Cumbo
authors.affiliation: Institute for System Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy; SysBio Centre for Systems Biology, Milan and Rome, Italy.
authors.forename: Paola
authors.initials: P
authors.lastname: Paci
authors.affiliation: Institute for System Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
authors.forename: Daniele
authors.initials: D
authors.lastname: Santoni
authors.affiliation: Faculty of Engineering, Università CAMPUS BioMedico, Roma, Italy.
authors.forename: Luisa
authors.initials: L
authors.lastname: Di Paola
authors.affiliation: Environment and Health Department, Istituto Superiore di Sanità, Roma, Italy.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Giuliani
mesh_terms: D000465:Algorithms; D018506:Gene Expression Regulation, Plant; D053263:Gene Regulatory Networks; D006454:Hemoglobins / Q000737:chemistry; D006801:Humans; D012984:Software; D027843:Vitis / Q000235:genetics
chemical_list: D006454:Hemoglobins