HTML5 PivotViewer: high-throughput visualization and querying of image data on the web.
BACKGROUND
Visualization and analysis of large numbers of biological images has generated a bottle neck in research. We present HTML5 PivotViewer, a novel, open source, platform-independent viewer making use of the latest web technologies that allows seamless access to images and associated metadata for each image. This provides a powerful method to allow end users to mine their data.


METHODS
Documentation, examples and links to the software are available from http://www.cbrg.ox.ac.uk/data/pivotviewer/. The software is licensed under GPLv2.
Computational Biology Research Group, Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK and Coritsu Group, Adelaide, South Australia 5000, Australia.
Stephen
S
Taylor
Computational Biology Research Group, Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK and Coritsu Group, Adelaide, South Australia 5000, Australia.
Roger
R
Noble
D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D057225:Data Mining / Q000379:methods*; D020407:Internet; D057054:Molecular Imaging; D012984:Software