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International Journal of Genomics
Volume 2016 (2016), Article ID 1715985, 5 pages
Review Article

Embracing Integrative Multiomics Approaches

1Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USA
2Department of Statistics, North Carolina State University, Raleigh, NC 27607, USA

Received 13 May 2016; Accepted 22 June 2016

Academic Editor: Lam C. Tsoi

Copyright © 2016 Daniel M. Rotroff and Alison A. Motsinger-Reif. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As “-omics” data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross “-omics” dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integrating data across “-omes” for a range of study designs. We discuss established methods for such analysis and point the reader to in-depth discussions for the various topics. Additionally, we discuss challenges and new directions in the area.