title: iVici: Interrelational Visualization and Correlation Interface.
abstract: We have developed an application, iVici, to analyze cellular networks represented as addressable symmetric or asymmetric two-dimensional matrices. iVici was designed to permit simultaneous visualization and correlation of multiple datasets, representing any relationship between a set of genes, mRNAs, or proteins. Visual overlay of datasets and addressable access to gene annotations permits comparison of networks of different types (for example protein-protein interactions and genetic networks) or investigation of the dynamic reorganization of a particular network.
authors.affiliation: Département de Biochimie and Centre Robert-Cedergren, Bioinformatiques et Genomiques, Université de Montréal, CP 6128, Succursale Centre-ville, Montréal, Québec, H3C 3J7, Canada. kirill.tarassov@umontreal.ca
authors.forename: Kirill
authors.initials: K
authors.lastname: Tarassov
authors.forename: Stephen W
authors.initials: SW
authors.lastname: Michnick
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000235:genetics / Q000378:metabolism; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins; D012333:RNA, Messenger