title: A Java applet for multiple linked visualization of protein structure and sequence.
abstract: The amount of biological data available from experimental techniques is huge, and rapidly expanding. The ability to make sense of this vast amount of data requires that we make correlations between distinct biological disciplines using visualization techniques to highlight the critical information. This article describes the visualization techniques of dynamic data brushing, view context maintenance, fisheye sequence view, and a magic lens that have been developed to display protein structure and sequence information.
authors.affiliation: EMBL Outstation - Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. oldfield@ebi.ac.uk
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Oldfield
mesh_terms: D019295:Computational Biology; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D011506:Proteins