BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data
1 Biodata Mining Group, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
2 Computational Biology and Bioimaging (COMBI) Group, Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
3 Biomedical Research Institute, School of Life Sciences, Gibbet Hill Road, Coventry CV4 7AL, UK
BMC Bioinformatics 2011, 12:297 doi:10.1186/1471-2105-12-297Published: 21 July 2011
Innovations in biological and biomedical imaging produce complex high-content and multivariate image data. For decision-making and generation of hypotheses, scientists need novel information technology tools that enable them to visually explore and analyze the data and to discuss and communicate results or findings with collaborating experts from various places.
In this paper, we present a novel Web2.0 approach, BioIMAX, for the collaborative exploration and analysis of multivariate image data by combining the webs collaboration and distribution architecture with the interface interactivity and computation power of desktop applications, recently called rich internet application.
BioIMAX allows scientists to discuss and share data or results with collaborating experts and to visualize, annotate, and explore multivariate image data within one web-based platform from any location via a standard web browser requiring only a username and a password. BioIMAX can be accessed at http://ani.cebitec.uni-bielefeld.de/BioIMAX webcitewith the username "test" and the password "test1" for testing purposes.