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  • 标题:Pairwise Sequence Alignment between HBV and HCC Using Modified Needleman Wunsch Algorithm
  • 本地全文:下载
  • 作者:Lailil Muflikhah ; Edy Santoso
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2017
  • 卷号:15
  • 期号:4
  • 页码:1785-1793
  • DOI:10.12928/telkomnika.v15i4.5813
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 其他摘要:Ths paper aims to find similarity of Hepatitis B virus (HBV) and Hepatocelluler Carcinoma (HCC) DNA sequences.The similarity of sequence allignments indicates that they have similarity of chemical and physical properties. Mutation of the virus DNA in X region has potential role in HCC. It is observed using pairwise sequence alignment of genotype-A in HBV. This paper is to purpose the modified method of Needleman Wunsch algorithm for optimum global DNA sequence alignment. The main idea is to optimize filling matrix and backtracking proccess of DNA components, so that there is reduction of computational time and space complexity. This research is applied to DNA sequence of 858 hepatitis B virus and 12 carcinoma patient. There are 10,296 pairwise of DNA sequences to be aligned globally using the modified method. As a result, it is achieved high similarity of 96.547% and validity of 99.854%. There is reduction of computational time as 34.6% and space complexity as 42.52%
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