Genomic data analysis using grid-based computing

Author

Bhanu Prasad Rekapalli

Date of Award

12-2003

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Gregory D. Peterson

Abstract

Microarray experiments generate a plethora of genomic data; therefore we need techniques and architectures to analyze this data more quickly. This thesis presents a solution for reducing the computation time of a highly computationally intensive data analysis part of a genomic application. The application used is the Stanford Microarray Database (SMD). SMD's implementation, working, and analysis features are described. The reasons for choosing the computationally intensive problems of the SMD, and the background importance of these problems are presented. This thesis presents an effective parallel solution to the computational problem, including the difficulties faced with the parallelization of the problem and the results achieved. Finally, future research directions for achieving even greater speedups are presented.

Recommended Citation

Rekapalli, Bhanu Prasad, "Genomic data analysis using grid-based computing. " Master's Thesis, University of Tennessee, 2003.
https://trace.tennessee.edu/utk_gradthes/5283