Applications of integrative OMICs approaches to gene regulation studies

被引:0
|
作者
Jing Qin [1 ]
Bin Yan [2 ,3 ]
Yaohua Hu [4 ]
Panwen Wang [5 ]
Junwen Wang [5 ,6 ]
机构
[1] School of Life Sciences,The Chinese University of Hong Kong
[2] Laboratory for Food Safety and Environmental Technology,Institutes of Biomedicine and Biotechnology,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences
[3] School of Biomedical Sciences,The University of Hong Kong
[4] College of Mathematics and Statistics,Shenzhen University
[5] Department of Health Sciences Research and Center for Individualized Medicine
[6] Department of Biomedical Informatics,Arizona State
关键词
D O I
暂无
中图分类号
Q78 [基因工程(遗传工程)];
学科分类号
071007 ; 0836 ; 090102 ;
摘要
Background:Functional genomics employs dozens of OMICs technologies to explore the functions of DNA,RNA and protein regulators in gene regulation processes.Despite each of these technologies being powerful tools on their own,like the parable of blind men and an elephant,any one single technology has a limited ability to depict the complex regulatory system.Integrative OMICS approaches have emerged and become an important area in biology and medicine.It provides a precise and effective way to study gene regulations.Results:This article reviews current popular OMICs technologies,OMICs data integration strategies,and bioinformatics tools used for multi-dimensional data integration.We highlight the advantages of these methods,particularly in elucidating molecular basis of biological regulatory mechanisms.Conclusions:To better understand the complexity of biological processes,we need powerful bioinformatics tools to integrate these OMICs data.Integrating multi-dimensional OMICs data will generate novel insights into system-level gene regulations and serves as a foundation for further hypothesis-driven research.
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页码:283 / 301
页数:19
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