Survey of DNA differentially methylated patterns identification

Zhao Qiana
Zhang Xuea
Zhang Yana
Lin Zhengkuia
Sun Yeqingb
a. College of Information Science & Technology, b. College of Environmental Science & Engineering, Dalian Maritime University, Dalian Liaoning 116026, China

Abstract

At present, microarray chip technology and sodium bisulfite sequencing technology have contributed a large amount of DNA methylation data. Based on different data type, there have been many methods to identify differentially methylated locis and regions. To sort out the methods of differentially methylated pattern identification, this paper firstly introduced the research status of DNA methylation, including detection methods and data types of DNA methylation, as well as two kinds of differentially methylated patterns. Then the paper elaborated on the identification methods of differentially methylated locis and regions on the chip data, and the identification methods of differentially methylated patterns on the sequencing data based on eight different algorithm principles. This paper focused on the principles, application scenarios, advantages and limitations of these algorithms. Finally, the paper pointed out the problems of differentially methylated pattern identification and possible future development trends.

Foundation Support

国家自然科学基金资助项目(31770918)
中国科学院空间科学战略性先导科技专项(XDA04020202-12,XDA04020412)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0157
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Survey
Pages: 1281-1286,1293
Serial Number: 1001-3695(2021)05-001-1281-06

Publish History

[2021-05-05] Printed Article

Cite This Article

赵倩, 张雪, 张彦, 等. DNA甲基化差异模式识别方法综述 [J]. 计算机应用研究, 2021, 38 (5): 1281-1286,1293. (Zhao Qian, Zhang Xue, Zhang Yan, et al. Survey of DNA differentially methylated patterns identification [J]. Application Research of Computers, 2021, 38 (5): 1281-1286,1293. )

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