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On the Relationship between Regulatory and Exomic DNA Markers. / Postovalov, Sergey; Berikov, Vladimir; Bryzgalov, Leonid и др.

Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 97-100 9117734 (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Postovalov, S, Berikov, V, Bryzgalov, L & Korbolina, E 2020, On the Relationship between Regulatory and Exomic DNA Markers. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020., 9117734, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020, Institute of Electrical and Electronics Engineers Inc., стр. 97-100, 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020, Yekaterinburg, Российская Федерация, 14.05.2020. https://doi.org/10.1109/USBEREIT48449.2020.9117734

APA

Postovalov, S., Berikov, V., Bryzgalov, L., & Korbolina, E. (2020). On the Relationship between Regulatory and Exomic DNA Markers. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 (стр. 97-100). [9117734] (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT48449.2020.9117734

Vancouver

Postovalov S, Berikov V, Bryzgalov L, Korbolina E. On the Relationship between Regulatory and Exomic DNA Markers. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. стр. 97-100. 9117734. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020). doi: 10.1109/USBEREIT48449.2020.9117734

Author

Postovalov, Sergey ; Berikov, Vladimir ; Bryzgalov, Leonid и др. / On the Relationship between Regulatory and Exomic DNA Markers. Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 97-100 (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

BibTeX

@inproceedings{a0de26e2d68c47738d7dbfa982b8d370,
title = "On the Relationship between Regulatory and Exomic DNA Markers",
abstract = "A problem of regulatory single nucleotide polymorphism (SNP) prediction based on the presence of exomic SNPs is considered. Usually, regulatory polymorphisms are located in the non-coding region of DNA, therefore they cannot be determined during RNA sequencing. Thus, there is a problem of regulatory polymorphisms prediction by the presence of certain polymorphisms in the DNA coding region. The prediction can be made if there is a strong relationship between regulatory and exomic polymorphism. Chi-square test statistic and normalized Hamming distance for linkage disequilibrium are compared. The results of study of relationship of some regulatory SNP with exomic SNP are presented. To study the relationship between polymorphisms, the polymorphisms already found from the project database of 1000 genomes have been used. The usage of regression models for this problem is discussed. In general, there is strong relationship between regulatory SNP and exomic SNP and linear regression model significantly describes the relationship between regulatory SNP and exomic SNPs very well, however in some cases usage of more complicated types of regression models is necessary.",
keywords = "Chi-square test, cSNP, DNA, haplotype, human genome, linkage disequilibrium, markers, normalized Hamming distance, regression models, rSNP, SNP",
author = "Sergey Postovalov and Vladimir Berikov and Leonid Bryzgalov and Elena Korbolina",
year = "2020",
month = may,
doi = "10.1109/USBEREIT48449.2020.9117734",
language = "English",
series = "Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "97--100",
booktitle = "Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020",
address = "United States",
note = "2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 ; Conference date: 14-05-2020 Through 15-05-2020",

}

RIS

TY - GEN

T1 - On the Relationship between Regulatory and Exomic DNA Markers

AU - Postovalov, Sergey

AU - Berikov, Vladimir

AU - Bryzgalov, Leonid

AU - Korbolina, Elena

PY - 2020/5

Y1 - 2020/5

N2 - A problem of regulatory single nucleotide polymorphism (SNP) prediction based on the presence of exomic SNPs is considered. Usually, regulatory polymorphisms are located in the non-coding region of DNA, therefore they cannot be determined during RNA sequencing. Thus, there is a problem of regulatory polymorphisms prediction by the presence of certain polymorphisms in the DNA coding region. The prediction can be made if there is a strong relationship between regulatory and exomic polymorphism. Chi-square test statistic and normalized Hamming distance for linkage disequilibrium are compared. The results of study of relationship of some regulatory SNP with exomic SNP are presented. To study the relationship between polymorphisms, the polymorphisms already found from the project database of 1000 genomes have been used. The usage of regression models for this problem is discussed. In general, there is strong relationship between regulatory SNP and exomic SNP and linear regression model significantly describes the relationship between regulatory SNP and exomic SNPs very well, however in some cases usage of more complicated types of regression models is necessary.

AB - A problem of regulatory single nucleotide polymorphism (SNP) prediction based on the presence of exomic SNPs is considered. Usually, regulatory polymorphisms are located in the non-coding region of DNA, therefore they cannot be determined during RNA sequencing. Thus, there is a problem of regulatory polymorphisms prediction by the presence of certain polymorphisms in the DNA coding region. The prediction can be made if there is a strong relationship between regulatory and exomic polymorphism. Chi-square test statistic and normalized Hamming distance for linkage disequilibrium are compared. The results of study of relationship of some regulatory SNP with exomic SNP are presented. To study the relationship between polymorphisms, the polymorphisms already found from the project database of 1000 genomes have been used. The usage of regression models for this problem is discussed. In general, there is strong relationship between regulatory SNP and exomic SNP and linear regression model significantly describes the relationship between regulatory SNP and exomic SNPs very well, however in some cases usage of more complicated types of regression models is necessary.

KW - Chi-square test

KW - cSNP

KW - DNA

KW - haplotype

KW - human genome

KW - linkage disequilibrium

KW - markers

KW - normalized Hamming distance

KW - regression models

KW - rSNP

KW - SNP

UR - http://www.scopus.com/inward/record.url?scp=85089651901&partnerID=8YFLogxK

U2 - 10.1109/USBEREIT48449.2020.9117734

DO - 10.1109/USBEREIT48449.2020.9117734

M3 - Conference contribution

AN - SCOPUS:85089651901

T3 - Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

SP - 97

EP - 100

BT - Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

Y2 - 14 May 2020 through 15 May 2020

ER -

ID: 25403981