Abstract
Single-layer omics provide limited insight, whereas integrated multi-omics layers allow understanding of their combined influence on the complex biological process. The integrative omics approach has been initially applied to cancer research and later used in understanding host-pathogen interactions and pluripotency regulatory networks in stem cells. Here, different multi-omics layers along with databases and tools specific for multiple data integration, visualization, and integrated network modeling are described. In summary, this chapter focuses on integrative analysis of different multi-omics layers and modeling of interactomes to identify robust biomarkers and biological processes associated with diseases.
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Chakravorty, D., Banerjee, K., Saha, S. (2018). Integrative Omics for Interactomes. In: Singh, S. (eds) Synthetic Biology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8693-9_3
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DOI: https://doi.org/10.1007/978-981-10-8693-9_3
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