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  • 标题:Parallelization of Biological Gene Sequencing Technique with Optimized Smith Waterman Algorithm
  • 本地全文:下载
  • 作者:Ananth Prabhu G ; Dr. Ganesh Aithal
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:6
  • 出版社:S&S Publications
  • 摘要:The presented research work represent a highly robust and efficient parallel computing system development for biological gene sequencing. In this research work, the existing approaches has optimized the most optimum approach available till date in the form of Smithy Waterman algorithm for gene alignment or local gene sequencing. This paper mainly emphasizes on the system development for a traceback assisted optimum diagonal sequencing approach developed with optimized smith Waterman and Myers an d Millers techniques. Considering optimization approaches it can be firmly stated that the presented work not only enhances the competing efficiency but also facilitates higher optimum memory occupancy for huge data sets and pattern possibilities.
  • 关键词:Smith-Waterman (SW); Myers-Miller Algorithm; Diagonal Parallel Sequencing and Alignment;Approach (DPSAA); Dynamic programming; Backtracking; Pseudo code
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