Hybrid optimal path traceback system development for optimizing DNA sequences alignment: article

Ahmad Sabri, Nur Dalilah (2012) Hybrid optimal path traceback system development for optimizing DNA sequences alignment: article. pp. 1-8.

Abstract

This paper present the new hybrid optimal path trace back system development for solving optimal path trace back complexity issue. The objective of this paper is to study several optimization techniques and determine the best optimization technique for optimizing the optimal path trace back system. Therefore, two designs are proposed and analyzed for in this study. The project is divided in two stages which are theoretical and experimental design. In theoretical design, the proved of concept for the proposed design is calculated based on mathematical equation which defined by Smith-Waterman algorithm. Design construction which covers code development, compilation and simulation is carried out under experimental design for both of the proposed designs using Altera Quartus II version 9.0 EDA tools and targeted to Cyclone II EP2C35 FPGA at 100MHz clock cycle. As a result, the second design required three times design area as compare to the first design for determine the optimal path for the same matrix size. Therefore, the first design is the best hybrid approach for the optimal path trace back size since theoretical result has shown both of the design has the same output but the second design suffers in terms of large design area.

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Item Type: Article
Creators:
Creators
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Ahmad Sabri, Nur Dalilah
dalilah_sabri@yahoo.com
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Applications of electronics
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Page Range: pp. 1-8
Keywords: DNA sequence alignment, Dynamic programming, Smith-Waterman algorithm, Optimal path, Trace back
Date: July 2012
URI: https://ir.uitm.edu.my/id/eprint/124082
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