EMAAS: A User-Friendly Tool for Microarray Data Analysis
Author Information
Author(s): Barton G, Abbott J, Chiba N, Huang DW, Huang Y, Krznaric M, Mack-Smith J, Saleem A, Sherman BT, Tiwari B, Tomlinson C, Aitman T, Darlington J, Game L, Sternberg MJE, Butcher SA
Primary Institution: Imperial College London
Hypothesis
The aim was to develop a distributed e-support system for microarray data analysis and management.
Conclusion
EMAAS enables users to track and perform microarray data management and analysis tasks through a single easy-to-use web application.
Supporting Evidence
- EMAAS has been successfully tested with 32 demonstration users concurrently logged into the system.
- The system architecture is flexible and scalable to allow new array types, analysis algorithms and tools to be added with relative ease.
- EMAAS integrates R and Bioconductor, which are powerful tools for microarray data analysis.
Takeaway
EMAAS is a tool that helps scientists analyze large amounts of data from experiments easily, without needing to install complicated software.
Methodology
EMAAS is a web-based application that integrates various tools for microarray data analysis, allowing users to perform tasks through a single interface.
Limitations
The analysis functionality is currently limited to standard Affymetrix data analysis workflows.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website