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  • 标题:Analyzing Pattern of Mutation in mtDNA Using Markov Chain
  • 本地全文:下载
  • 作者:Lira Adiyani ; Sutawanir Darwis ; Achmad Saifuddin Noer
  • 期刊名称:Statistika
  • 印刷版ISSN:1411-5891
  • 出版年度:2008
  • 卷号:8
  • 期号:2
  • 页码:93-96
  • DOI:10.29313/jstat.v8i2.982
  • 出版社:Universitas Islam Bandung
  • 摘要:Mutation in mtDNA becomes an interesting topic that needed to discuss. If someone has a mutation in his mtDNA, then it might be affect his health. Those effects could be some diseases or another variation that gives different characteristics. In study of mutation, there are two such things become the main problems: (1) does mutation occur dependently? and (2) what is the pattern? From the research (by 9 degrees of freedom χ2), DNA sequence shows a positional dependence. In addition, we can also see a positional dependence in mtDNA sequence clearly (position i-1, i, i 1 are dependent with i define as mutation) by sign test, which means, it is possibly that there is a pattern of mutation. This paper uses Markov chain to quantify the pattern and as results all bases will mutate if position i 1 is C or cytosine (±40%). Moreover, A, C, and G will mutate (become T) if position i-1 is A or adenine (54.5%).
  • 关键词:Markov chain;mtDNA;mutation;pattern;positional dependence.
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