title: DyNet: visualization and analysis of dynamic molecular interaction networks.
abstract: : The ability to experimentally determine molecular interactions on an almost proteome-wide scale under different conditions is enabling researchers to move from static to dynamic network analysis, uncovering new insights into how interaction networks are physically rewired in response to different stimuli and in disease. Dynamic interaction data presents a special challenge in network biology. Here, we present DyNet, a Cytoscape application that provides a range of functionalities for the visualization, real-time synchronization and analysis of large multi-state dynamic molecular interaction networks enabling users to quickly identify and analyze the most 'rewired' nodes across many network states.
  
  
  
  DyNet is available at the Cytoscape (3.2+) App Store (http://apps.cytoscape.org/apps/dynet).
  
  
  
  david.lynn@sahmri.com
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: EMBL Australia Biomedical Informatics Group, Infection and Immunity Theme, South Australian Medical and Health Research Institute, North Terrace, Adelaide, South Australia 5000, Australia.
authors.forename: Ivan H
authors.initials: IH
authors.lastname: Goenawan
authors.affiliation: EMBL Australia Biomedical Informatics Group, Infection and Immunity Theme, South Australian Medical and Health Research Institute, North Terrace, Adelaide, South Australia 5000, Australia.
authors.forename: Kenneth
authors.initials: K
authors.lastname: Bryan
authors.affiliation: EMBL Australia Biomedical Informatics Group, Infection and Immunity Theme, South Australian Medical and Health Research Institute, North Terrace, Adelaide, South Australia 5000, Australia School of Medicine, Flinders University, Bedford Park, South Australia 5042, Australia.
authors.forename: David J
authors.initials: DJ
authors.lastname: Lynn
mesh_terms: D019295:Computational Biology; D053263:Gene Regulatory Networks; D023281:Genomics; D006801:Humans; D053858:Metabolic Networks and Pathways; D012984:Software