Earticle

초록

영어

The huge amount of biological information implies a great challenge for data analysis, particularly for combinatorial methods such as Multifactor Dimensionality Reduction. This method can be computationally intensive, especially when more than ten polymorphisms need to be evaluated. The Grid is a promising architecture for genomics problems providing high computing capabilities. In this paper, we describe a framework for supporting the MDR method on Grid environments. This framework helps biologists to automate the execution of multiple tests of gene-gene interactions detection. To evaluate the eciency of the proposed framework, we conduct experiments on the Grid5000. A Grid infrastructure distributed in nine sites around France, for research in large-scale parallel and distributed systems. compute-intensive

목차

Abstract
 1 Introduction
 2 Multifactor Dimensionality Reduction method
 3 Implementation details
  3.1 Distributed formulation of the MDR method
  3.2 Framework Architecture
 4 Empirical experiments
 5 Related works
 6 Conclusion
 Acknowledgements
 References

키워드

저자

• M. Ben Haj Hmida [ Department of Computer Science, Faculty of Sciences of Tunis, Tunisia ]
• Y. Slimani [ Department of Computer Science, Faculty of Sciences of Tunis, Tunisia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605