期刊论文详细信息
BMC Bioinformatics
BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data
Software
Christian Loyek1  Tim W Nattkemper1  Michael Khan2  Nasir M Rajpoot3 
[1] Biodata Mining Group, Faculty of Technology, Bielefeld University, 33615, Universitätsstraße 25Bielefeld, Germany;Biomedical Research Institute, School of Life Sciences, Gibbet Hill Road, CV4 7AL, Coventry, UK;Computational Biology and Bioimaging (COMBI) Group, Department of Computer Science, University of Warwick, CV4 7AL, Coventry, UK;
关键词: Exploratory Data Analysis;    Visual Exploration;    Desktop Application;    Bioimage Analysis;    Multivariate Image;   
DOI  :  10.1186/1471-2105-12-297
 received in 2011-03-08, accepted in 2011-07-21,  发布年份 2011
来源: Springer
PDF
【 摘 要 】

BackgroundInnovations 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.ResultsIn 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.ConclusionsBioIMAX 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/BioIMAXwith the username "test" and the password "test1" for testing purposes.

【 授权许可】

CC BY   
© Loyek et al; licensee BioMed Central Ltd. 2011

【 预 览 】
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