DocumentCode
2744787
Title
Development of Novel Data Compression Technique for Accelerate DNA Sequence Alignment Based on SmithWaterman Algorithm
Author
Junid, S. A M Al ; Haron, M.A. ; Majid, Z. Abd ; Halim, A.K. ; Osman, F.N. ; Hashim, H.
Author_Institution
Fac. of Electr. Eng., Univ. Technol. MARA (UiTM), Shah Alam, Malaysia
fYear
2009
fDate
25-27 Nov. 2009
Firstpage
181
Lastpage
186
Abstract
This paper presents the development of high performance accelerating technique for DNA sequences alignment. The scope of the paper focuses on speed optimization and memory reduction of the existing technique on initialization module. The novel development of the optimization using data compression technique for accelerates the Smith-Waterman (SW) algorithm has been revealed through this paper. This technique has been implemented on hardware based acceleration device. The development is targeted to Altera Cyclone II 2C70 FPGA and using 50 MHz oscillator. The code is written in verilog HDL syntax using Quartus 2 version 7.2 and the simulation is verified using Quartus 2 version 7.2 simulator tool. The theoretical analysis and simulation result based on implementation of the design using FPGA are presented and well organized in this paper. The comparative study based on theoretical and simulation results of this technique has been made to accomplish result of analysis. The compilation result for data compression technique development of SW algorithm consisting of 73 logic elements with 93.75% reduction in memory space requirement.
Keywords
DNA; biology computing; biomedical electronics; data compression; field programmable gate arrays; hardware description languages; Altera Cyclone II 2C70 FPGA; Quartus 2 version 7.2 simulator tool; Smith-Waterman algorithm; accelerate DNA sequence alignment; data compression technique; hardware based acceleration device; high performance accelerating technique; initialization module; memory reduction; memory space requirement; speed optimization; verilog HDL syntax; Acceleration; Analytical models; Cyclones; DNA; Data compression; Field programmable gate arrays; Hardware design languages; Logic; Oscillators; Sequences; DNA sequence alignment; Data Compression; FPGA; Smith-Waterman algorithm; bioinformatic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2009. EMS '09. Third UKSim European Symposium on
Conference_Location
Athens
Print_ISBN
978-1-4244-5345-0
Electronic_ISBN
978-0-7695-3886-0
Type
conf
DOI
10.1109/EMS.2009.93
Filename
5358799
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