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  • Electronic Journal of Biotechnology
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  • Pontificia Universidad Católica de Valparaíso
  • Electronic Journal of Biotechnology
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Evaluation of computer methods for biomarker discovery on computational grids

Author
Tonini,Gustavo

Siqueira,Frank

Full text
https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-34582013000500013
Abstract
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 find that some methods are more suited for certain grid architectures, resulting in significant performance improvement and producing more accurate results.
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Discipline
Artes, Arquitectura y UrbanismoCiencias Agrarias, Forestales y VeterinariasCiencias Exactas y NaturalesCiencias SocialesDerechoEconomía y AdministraciónFilosofía y HumanidadesIngenieríaMedicinaMultidisciplinarias
Institutions
Universidad de ChileUniversidad Católica de ChileUniversidad de Santiago de ChileUniversidad de ConcepciónUniversidad Austral de ChileUniversidad Católica de ValparaísoUniversidad del Bio BioUniversidad de ValparaísoUniversidad Católica del Nortemore

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