title: Information Visualization for Biological Data.
abstract: Visualization is a powerful method to present and explore a large amount of data. It is increasingly important in the life sciences and is used for analyzing different types of biological data, such as structural information, high-throughput data, and biochemical networks. This chapter gives a brief introduction to visualization methods for bioinformatics, presents two commonly used techniques in detail, and discusses a graphical standard for biological networks and cellular processes.
authors.affiliation: Faculty of Information Technology, Monash University, Clayton, VIC, Australia.
authors.forename: Tobias
authors.initials: T
authors.lastname: Czauderna
authors.affiliation: Faculty of Information Technology, Monash University, Clayton, VIC, Australia. falk.schreiber@uni-konstanz.de.|Department of Computer and Information Science, University of Konstanz, Konstanz, Germany. falk.schreiber@uni-konstanz.de.
authors.forename: Falk
authors.initials: F
authors.lastname: Schreiber
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D016247:Information Storage and Retrieval; D008962:Models, Theoretical; D015398:Signal Transduction; D012984:Software; D049490:Systems Biology; D014584:User-Computer Interface
keywords: Data exploration; Force-based layout; Graph drawing; Heat-maps; Systems Biology Graphical Notation; Visualization