Integration of multiomics data using biological networks
Technological advances in the generation of omics data have enabled the characterization of cells or tissues in health and disease states. However, no single omics data type is able to reveal the complex behaviour of cells or tissues in different states. In this context, biological networks can be used for integration of multiomics data. This approach might reveal phenotypic differences and underlying molecular mechanisms involved in the occurrence of the disease to ultimately identify novel biomarkers and drug targets. These integrative systems biology approaches can be used in the development of efficient treatment strategies and to achieve the goals of personalized and translational medicine.