Standard
On the Relationship between Regulatory and Exomic DNA Markers. / Postovalov, Sergey; Berikov, Vladimir; Bryzgalov, Leonid et al.
Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 97-100 9117734 (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Postovalov, S
, Berikov, V, Bryzgalov, L & Korbolina, E 2020,
On the Relationship between Regulatory and Exomic DNA Markers. in
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., pp. 97-100, 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020, Yekaterinburg, Russian Federation,
14.05.2020.
https://doi.org/10.1109/USBEREIT48449.2020.9117734APA
Postovalov, S.
, Berikov, V., Bryzgalov, L., & Korbolina, E. (2020).
On the Relationship between Regulatory and Exomic DNA Markers. In
Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 (pp. 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/USBEREIT48449.2020.9117734Vancouver
Postovalov S
, Berikov V, Bryzgalov L, Korbolina E.
On the Relationship between Regulatory and Exomic DNA Markers. In Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 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 et al. /
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. pp. 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 -
