Symmetry in DNA: Methods of Pattern Recognition Based on Hidden Markov Models

Borys O. Biletskyy () and Anatoliy M. Gupal ()
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Borys O. Biletskyy: V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine
Anatoliy M. Gupal: V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine

A chapter in Optimization Methods and Applications, 2017, pp 11-32 from Springer

Abstract: Abstract Fundamental relations and symmetry rules of the genetic information organization in DNA were studied. DNA symmetry was used to construct an optimal symmetric code with respect to amino acid polarity, with noise immunity much higher than that of a standard genetic code. It is well known that various diseases are associated with pointwise mutations of nucleotides in genes. Bayesian procedures allow for use of the standard and symmetric codes for genetic diseases diagnosis. Markov model of higher orders with hidden states was used to build simple algorithms for gene fragment prediction.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-68640-0_2

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DOI: 10.1007/978-3-319-68640-0_2

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