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Information 2017, 8(1), 12; doi:10.3390/info8010012

The Matrix Method of Representation, Analysis and Classification of Long Genetic Sequences

Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow 121248, Russia
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Academic Editors: Pedro C. Marijuán, Abir U. Igamberdiev and Lin Bi
Received: 6 November 2016 / Revised: 26 December 2016 / Accepted: 28 December 2016 / Published: 17 January 2017
(This article belongs to the Special Issue Symmetry and Information)
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Abstract

The article is devoted to a matrix method of comparative analysis of long nucleotide sequences by means of presenting each sequence in the form of three digital binary sequences. This method uses a set of symmetries of biochemical attributes of nucleotides. It also uses the possibility of presentation of every whole set of N-mers as one of the members of a Kronecker family of genetic matrices. With this method, a long nucleotide sequence can be visually represented as an individual fractal-like mosaic or another regular mosaic of binary type. In contrast to natural nucleotide sequences, artificial random sequences give non-regular patterns. Examples of binary mosaics of long nucleotide sequences are shown, including cases of human chromosomes and penicillins. The obtained results are then discussed. View Full-Text
Keywords: matrix genetics; long genetic sequences; symmetries; algebraic biology matrix genetics; long genetic sequences; symmetries; algebraic biology
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Stepanyan, I.V.; Petoukhov, S.V. The Matrix Method of Representation, Analysis and Classification of Long Genetic Sequences. Information 2017, 8, 12.

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