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Electronic Journal of Biotechnology
Universidad Católica de Valparaíso
ISSN: 0717-3458
Vol. 16, No. 5, 2013
Bioline Code: ej13047
Full paper language: English
Document type: Review Article
Document available free of charge

Electronic Journal of Biotechnology, Vol. 16, No. 5, 2013

 en Evaluation of computer methods for biomarker discovery on computational grids
Tonini, Gustavo & Siqueira, Frank


Background: Discovering biomarkers is a fundamental step to understand and deal with genetic diseases. Methods using classic Computer Science algorithms have been adapted in order to support processing large biological data sets, aiming to find useful information to understand causing conditions of diseases such as cancer.
Results: This paper describes some promising biomarker discovery methods based on several grid architectures. Each technique has some features that make it more suitable for a particular grid architecture. This matching depends on the parallelizing capabilities of the method and the resource availability in each processing/storage node.
Conclusion: The study described in this paper analyzed the performance of biomarker discovery methods in different grid architectures. We have found some methods are more suited for certain grid architectures, resulting in significant performance improvement and producing more accurate results.

feature selection; genetics; parallel computing; pattern detection; performance

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