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On Symmetries Inside Complete Sets of Chromosomes

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Advances in Computer Science for Engineering and Education II (ICCSEEA 2019)

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

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Abstract

Many genetic problems in fields of medicine, biotechnology and bio-medical engineering are connected with secrets of complete sets of chromosomes (karyotypes) in human and other eukaryotic organisms. The article is devoted to new symmetries inside complete sets of chromosomes, which add important knowledge into the field of cytogenetics. Simultaneously the article describes new methods of analysis and modeling long sequences of hydrogen bonds in DNA. The proposed model approach is connected with the tensor product of matrices and with formalisms of quantum informatics. The described results can be used in development of new approaches for modeling genetic informatics from standpoint of quantum informatics.

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Author information

Authors and Affiliations

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

    Sergey Petoukhov, Elena Petukhova & Vitaliy Svirin

Authors
  1. Sergey Petoukhov
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  2. Elena Petukhova
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  3. Vitaliy Svirin
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Corresponding author

Correspondence to Sergey Petoukhov .

Editor information

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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Petoukhov, S., Petukhova, E., Svirin, V. (2020). On Symmetries Inside Complete Sets of Chromosomes. 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_51

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