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DNA Sequences Analysis Based on Classifications of Nucleotide Bases

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Affective Computing and Intelligent Interaction

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 137))

Abstract

Four bases A, C, G and T of DNA sequences are divided into three kinds of classifications according to their chemical properties. We convert a DNA primary sequence into three symbolic sequences. The frequencies of group mutations of three symbolic sequences have been grouped into a twelve-component vector to represent the DNA sequence. The Euclidean distances among introduced vectors are applied to characterize and compare the coding sequences of the first exon of beta globin gene of 11 different species.

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Author information

Authors and Affiliations

  1. School of Science, Central South University of Forest and Technology, Changsha, Hunan, 410004, China

    Long Shi

  2. School of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan, 411105, China

    Hailan Huang

Authors
  1. Long Shi
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  2. Hailan Huang
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Editor information

Editors and Affiliations

  1. National Kinmen Institute of Technology, Jinning Township 892, Kinmen, Taiwan R.O.C.

    Jia Luo

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Shi, L., Huang, H. (2012). DNA Sequences Analysis Based on Classifications of Nucleotide Bases. In: Luo, J. (eds) Affective Computing and Intelligent Interaction. Advances in Intelligent and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27866-2_45

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  • DOI: https://doi.org/10.1007/978-3-642-27866-2_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27865-5

  • Online ISBN: 978-3-642-27866-2

  • eBook Packages: EngineeringEngineering (R0)

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