HTML5 PivotViewer: high-throughput visualization and querying of image data on the web | Zendy

Stephen Taylor | Zendy; Roger Noble | Zendy

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HTML5 PivotViewer: high-throughput visualization and querying of image data on the web

Author(s) -

Stephen Taylor,

Roger Noble

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu349

Subject(s) - computer science , metadata , visualization , html5 , software , documentation , world wide web , web application , information retrieval , data mining , operating system

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.

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