title: Caleydo: connecting pathways and gene expression.
abstract: Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in the context of pathways and functions of individual genes. Pathways and gene expression visualizations are placed in a 3D scene where selected entities (i.e. genes) are visually connected. This allows Caleydo to seamlessly integrate interactive gene expression visualization with cross-database pathway exploration.
  
  
  BACKGROUND
  The Caleydo visualization framework is freely available on www.caleydo.org for non-commercial use. It runs on Windows and Linux and requires a 3D capable graphics card.
authors.affiliation: Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16 and Institute of Pathology, Medical University Graz, Auenbruggerplatz 25, 8010 Graz, Austria. caleydo@icg.tugraz.at
authors.forename: Marc
authors.initials: M
authors.lastname: Streit
authors.forename: Alexander
authors.initials: A
authors.lastname: Lex
authors.forename: Michael
authors.initials: M
authors.lastname: Kalkusch
authors.forename: Kurt
authors.initials: K
authors.lastname: Zatloukal
authors.forename: Dieter
authors.initials: D
authors.lastname: Schmalstieg
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D012984:Software; D014584:User-Computer Interface