A multiscale model of nucleic acid imaging

Stepanyan, Ivan V.

doi:10.26583/sv.12.3.06

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…This allows us to visualize and compare diverse types of coronaviruses in their easy-to-perceive parametric space. Our earlier articles [16][17][18][19][20] describe in detail all methods of constructing visualizations.…”

Section: Discussionmentioning

confidence: 99%

“…The binary sub-alphabets in the set of nitrogenous bases differ according to the kinds of boolean properties: C = T "pyrimidines"/A = G "purines"; A = C "amino"/G = T "keto"; C = G has 3 hydrogen bonds and A = T has two hydrogen bonds. Based on the boolean properties method for scale-parametric analysis of large nucleotide sequences described in [16][17][18][19][20] is as follows:…”

Section: Methods: An Algorithm For Genometric Visualization Of Geneti...mentioning

confidence: 99%

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A Comparative Analysis of Different Strains of Coronavirus Based on Genometric Mappings

Stepanyan

Lednev

2022

Symmetry

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Coronaviruses are viruses that infect the respiratory system of humans. Besides high mortality rates among the population, they brought about several economic crises on a global scale. Methods. To study and identify features in the genetic composition of the nucleotide sequences of various coronaviruses, we applied copyright algorithms and visualization, which allowed us to compare the biochemical parameters of diverse RNA coronaviruses in a visual form. Results. The article provides examples of different approaches to imaging coronaviruses. We have provided examples of coronavirus RNA structure visualization in various parametric spaces (1-D and 2-D). We employed various visualization types, including structural, integral, and frequency. The research discussed methods of visualization. Our team developed visualization and comparative analysis of coronavirus serotypes and visualization of SARS-CoV-2 coronavirus datasets. Discussion followed on the visualization results. The presented techniques and the results allowed for displaying the structure of RNA sequences of coronaviruses in spaces of various dimensions. Conclusions. According to our findings, the proposed method contributes to the visualization of the genetic coding of coronaviruses. We discussed the issues of machine learning and neural network technology concerning the analysis of coronaviruses based on the presented approach. The described line of research is essential for the study and control of complex quantum mechanical systems, such as RNA or DNA.

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Section: Discussionmentioning

confidence: 99%

Section: Methods: An Algorithm For Genometric Visualization Of Geneti...mentioning

confidence: 99%

A Comparative Analysis of Different Strains of Coronavirus Based on Genometric Mappings

Stepanyan

Lednev

2022

Symmetry

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DNA Clustering Algorithms

Stepanyan

2021

Autom. Doc. Math. Linguist.

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Investigation of the capabilities of the method of characteristic patterns for graphical presentation of large amounts of information

Stepanyan

2021

Med. tr. prom. èkol.

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The author examines new challenges of ergonomics and occupational health, including unknown risks, issues of prevention, and ethics. The author also presents an overview of modern bioinformatics systems and visualization methods in bioinformatics. The researcher analyzed the health risks of human interaction with large volumes of textual information and advanced computational methods to prevent computer syndrome, including overstrain of the visual analyzer and pain in the back, neck, and hands. The study aims to analyze the representations of hereditary molecular genetic information in the form of graphic patterns available for visual perception, characterizing the initial data, and study the possibility of visualizing large amounts of data using the method of characteristic patterns. The author developed new methods of presenting large volumes of hereditary genetic information in bioinformatic systems. The basis of the method is information processing based on computer algorithms. The methods allow us to visually assess the differences in the genetic structure of various species of living organisms and identify the features of their nucleotide composition. The fixation of the internal ordering of the information signal in an individual graphical quasi-fractal structure is a characteristic feature of the methods considered. It makes it possible to expand the possibilities of visual-analytical thinking of a person when interacting with large amounts of information through bioinformatics tools.

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A multiscale model of nucleic acid imaging

Cited by 4 publications

References 15 publications

A Comparative Analysis of Different Strains of Coronavirus Based on Genometric Mappings

A Comparative Analysis of Different Strains of Coronavirus Based on Genometric Mappings

DNA Clustering Algorithms

Investigation of the capabilities of the method of characteristic patterns for graphical presentation of large amounts of information

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