Applications of integrative OMICs approaches to gene regulation studies

Jing Qin, Bin Yan, Yaohua Hu, Panwen Wang, Junwen Wang

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations


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. [Figure not available: see fulltext.].

Original languageEnglish (US)
Pages (from-to)283-301
Number of pages19
JournalQuantitative Biology
Issue number4
StatePublished - Dec 1 2016


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

ASJC Scopus subject areas

  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Applied Mathematics


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