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Dr Kwanjeera et al provide an extremely timely overview of the challenges of integrating the ever-increasing information from multiple 'omic' platforms. Not only have they summarised the analytical approaches currently available but they also direct the readers to the future developments and needs within this important field.
Robust interpretation of experimental results measuring discreet biological domains remains a significant challenge in the face of complex biochemical regulation processes such as organismal versus tissue versus cellular metabolism, epigenetics, and protein post-translational modification. Integration of analyses carried out across multiple measurement or omic platforms is an emerging approach to help address these challenges. This review focuses on select methods and tools for the integration of metabolomic with genomic and proteomic data using a variety of approaches including biochemical pathway-, ontology-, network-, and empirical-correlation-based methods.
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