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Quantitative Biology

, Volume 4, Issue 4, pp 283–301 | Cite as

Applications of integrative OMICs approaches to gene regulation studies

  • Jing Qin
  • Bin Yan
  • Yaohua Hu
  • Panwen Wang
  • Junwen Wang
Review

Abstract

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.

Keywords

gene regulatory networks integrative analysis OMICs ChIP-seq RNA-seq 

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Copyright information

© Higher Education Press and Springer-Verlag GmbH 2016

Authors and Affiliations

  • Jing Qin
    • 1
  • Bin Yan
    • 2
    • 3
  • Yaohua Hu
    • 4
  • Panwen Wang
    • 5
  • Junwen Wang
    • 5
    • 6
  1. 1.School of Life SciencesThe Chinese University of Hong KongHong Kong SARChina
  2. 2.Laboratory for Food Safety and Environmental Technology, Institutes of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
  3. 3.School of Biomedical SciencesThe University of Hong KongHong Kong SARChina
  4. 4.College of Mathematics and StatisticsShenzhen UniversityShenzhenChina
  5. 5.Department of Health Sciences Research and Center for Individualized MedicineMayo ClinicScottsdaleUSA
  6. 6.Department of Biomedical InformaticsArizona State UniversityScottsdaleUSA

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