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International Conference on Computer Science, Engineering and Education Applications

ICCSEEA 2019: Advances in Computer Science for Engineering and Education II pp 567–575Cite as

Multidimensional Approach for Analysis of Chromosomes Nucleotide Composition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 938))

Abstract

A chromosome includes a DNA molecule with a part or all of the genome of an organism. Statistically known that chromosomes nucleotide compositions are different for different biological species. Special comparative method of visualization the chromosomes nucleotide composition of various organisms is described. This analysis is conducted by means of a metric space of binary orthogonal functions taking into account physical-chemical parameters of nitrogenous bases of the genetic code. In consideration that genetic algebra and geometry are connected with a relations purposed in this article algorithms allows to display a statistical chromosome nucleotide composition data in a metric spaces using multidimensional analysis.

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Acknowledgments

Part of the calculations was performed on the supercomputer “MVS-10P” (JSCC RAS). Author thanks Sergey Petoukhov and Vitaly Svirin for scientific discussions.

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Authors and Affiliations

  1. Mechanical Engineering Research Institute, Russian Academy of Sciences, M. Kharitonievsky pereulok, 4, Moscow, Russia

    Ivan V. Stepanyan

Authors
  1. Ivan V. Stepanyan
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Correspondence to Ivan V. Stepanyan .

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Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. “Igor Sikorsky Kiev Polytechnic Institute”, National Technical University of Ukraine, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Stepanyan, I.V. (2020). Multidimensional Approach for Analysis of Chromosomes Nucleotide Composition. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-16621-2_53

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