title: FORG3D: force-directed 3D graph editor for visualization of integrated genome scale data.
abstract: BACKGROUND
  Genomics research produces vast amounts of experimental data that needs to be integrated in order to understand, model, and interpret the underlying biological phenomena. Interpreting these large and complex data sets is challenging and different visualization methods are needed to help produce knowledge from the data.
  
  
  RESULTS
  To help researchers to visualize and interpret integrated genomics data, we present a novel visualization method and bioinformatics software tool called FORG3D that is based on real-time three-dimensional force-directed graphs. FORG3D can be used to visualize integrated networks of genome scale data such as interactions between genes or gene products, signaling transduction, metabolic pathways, functional interactions and evolutionary relationships. Furthermore, we demonstrate its utility by exploring gene network relationships using integrated data sets from a Caenorhabditis elegans Parkinson's disease model.
  
  
  CONCLUSIONS
  We have created an open source software tool called FORG3D that can be used for visualizing and exploring integrated genome scale data.
authors.affiliation: A,I, Virtanen Institute of Molecular Sciences, University of Kuopio, Kuopio, Finland. Jussi.Paananen@uku.fi
authors.forename: Jussi
authors.initials: J
authors.lastname: Paananen
authors.forename: Garry
authors.initials: G
authors.lastname: Wong
mesh_terms: D000818:Animals; D017173:Caenorhabditis elegans / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D003198:Computer Simulation; D053263:Gene Regulatory Networks / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D010300:Parkinson Disease / Q000235:genetics; D012984:Software; D014584:User-Computer Interface