EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management

Background: Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large data sets. This, together with the proliferation of tools and techniques for microarray data analysis, makes it very challenging for a laboratory scientist to keep up-to-date with the latest developments in this field. Our aim was to develop a distributed e-support system for microarray data analysis and management. Results: EMAAS (Extensible MicroArray Analysis System) is a multi-user rich internet application (RIA) providing simple, robust access to up-to-date resources for microarray data storage and analysis, combined with integrated tools to optimise real time user support and training. The system leverages the power of distributed computing to perform microarray analyses, and provides seamless access to resources located at various remote facilities. The EMAAS framework allows users to import microarray ...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Geraint Barton, J. C. Abbott, Norie Chiba, D. W. Huang, Y. Huang, Marko Krznaric, J. Mack-Smith, A. Saleem, B. T. Sherman, B. Tiwari, Chris Tomlinson, Timothy J. Aitman, John Darlington, Laurence Game, Michael J. E. Sternberg, S. A. Butcher
• Keywords: Analysis, BMCBI 2008, Microarray Data, Microarray Data Analysis