Genomic, Proteomic, and Metabolomic Data Integration Strategies

Robust interpretation of experimental results computing 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 ,is an upcoming 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 .

  • Pathway or biochemical-ontology-based integration
  • Biological-network-based integration
  • Empirical correlation analysis
  • Data integration
  • Data analysis
  • Networks
  • Biochemical processes

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