Muhammad Amir Sial, Muhammad Aoun Munir
The approach that is focused on the integration of multiomics data is now the most efficient way of revealing the complexity underlying biological systems and improving the knowledge of health and disease. In this piece, we focus on how and how multiomics data are combined to provide a full picture of biological processes as well as the challenges involved. Data integration, network reconstruction and pathway analysis are some of the computational frameworks that are well covered in this review. By highlighting the diverse approaches used to harmonize omics datasets and untangle biological interactions, omics discovery can be performed at another level. Moreover, we are investigating the utility of multiomics integration in biomarker identification, disease typing, drug discovery and precision medicine and highlight the potential role of multiomics in triggering disruptive discoveries in fundamental science as well as in translation. Finally, we address some basic problems that multiomics integration has and specify how the field may be developed by contributing to standardization, scalability and data sharing. This paper embraces the novelty of multiomics integration and its connotations for precision medicine and individual-targeted healthcare. Overall, we manage to offer readers some knowledge of new fields of multiomics research contributing to precision medicine and pertinent health care.
Published Date: 2025-05-19; Received Date: 2024-05-24