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  • 标题:Similarity Analysis of DNA Sequences Based on the Chemical Properties of Nucleotide Bases, Frequency and Position of Group Mutations
  • 本地全文:下载
  • 作者:Fatima KABLI ; Reda Mohamed HAMOU ; Abdelmalek AMINE
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • 页码:13-22
  • DOI:10.5121/csit.2016.60102
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The DNA sequences similarity analysis approaches have been based on the representation andthe frequency of sequences components; however, the position inside sequence is importantinformation for the sequence data. Whereas, insufficient information in sequencesrepresentations is important reason that causes poor similarity results. Based on threeclassifications of the DNA bases according to their chemical properties, the frequencies andaverage positions of group mutations have been grouped into two twelve-components vectors,the Euclidean distances among introduced vectors applied to compare the coding sequences ofthe first exon of beta globin gene of 11 species.
  • 关键词:DNA sequence; chemical proprieties; DNA bases; position; frequency; group mutations.
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