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Review
. 2024 Sep 6;12(3):25.
doi: 10.3390/proteomes12030025.

Transforming Clinical Research: The Power of High-Throughput Omics Integration

Rui Vitorino  1   2
Affiliations
Review

Transforming Clinical Research: The Power of High-Throughput Omics Integration

Rui Vitorino. Proteomes. .

Abstract

High-throughput omics technologies have dramatically changed biological research, providing unprecedented insights into the complexity of living systems. This review presents a comprehensive examination of the current landscape of high-throughput omics pipelines, covering key technologies, data integration techniques and their diverse applications. It looks at advances in next-generation sequencing, mass spectrometry and microarray platforms and highlights their contribution to data volume and precision. In addition, this review looks at the critical role of bioinformatics tools and statistical methods in managing the large datasets generated by these technologies. By integrating multi-omics data, researchers can gain a holistic understanding of biological systems, leading to the identification of new biomarkers and therapeutic targets, particularly in complex diseases such as cancer. The review also looks at the integration of omics data into electronic health records (EHRs) and the potential for cloud computing and big data analytics to improve data storage, analysis and sharing. Despite significant advances, there are still challenges such as data complexity, technical limitations and ethical issues. Future directions include the development of more sophisticated computational tools and the application of advanced machine learning techniques, which are critical for addressing the complexity and heterogeneity of omics datasets. This review aims to serve as a valuable resource for researchers and practitioners, highlighting the transformative potential of high-throughput omics technologies in advancing personalized medicine and improving clinical outcomes.

Keywords: bioinformatics; biomarkers; data integration; high-throughput omics; next-generation sequencing; personalized medicine.

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Conflict of interest statement

The author declare no conflicts of interest.

Figures

Figure 1
Figure 1
Overview of Omics Technologies.
See this image and copyright information in PMC

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References

    1. Agamah F.E., Bayjanov J.R., Niehues A., Njoku K.F., Skelton M., Mazandu G.K., Ederveen T.H.A., Mulder N., Chimusa E.R., t Hoen P.A.C. Computational approaches for network-based integrative multi-omics analysis. Front. Mol. Biosci. 2022;9:967205. doi: 10.3389/fmolb.2022.967205. - DOI - PMC - PubMed
    1. Li Y., Mansmann U., Du S., Hornung R. Benchmark study of feature selection strategies for multi-omics data. BMC Bioinform. 2022;23:412. doi: 10.1186/s12859-022-04962-x. - DOI - PMC - PubMed
    1. Argelaguet R., Velten B., Arnol D., Dietrich S., Zenz T., Marioni J.C., Buettner F., Huber W., Stegle O. Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 2018;14:e8124. doi: 10.15252/msb.20178124. - DOI - PMC - PubMed
    1. The Galaxy Community The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update. Nucleic Acids Res. 2024;52:W83–W94. doi: 10.1093/nar/gkae410. - DOI - PMC - PubMed
    1. Zhou G., Pang Z., Lu Y., Ewald J., Xia J. OmicsNet 2.0: A web-based platform for multi-omics integration and network visual analytics. Nucleic Acids Res. 2022;50:W527–W533. doi: 10.1093/nar/gkac376. - DOI - PMC - PubMed

Grants and funding

This work was supported via national funds through FCT—The Portuguese Foundation for Science and Technology, under by iBiMED (UIDB/04501/2020 and POCI-01-0145-FEDER-007628) and the Cardiovascular R&D Center—UnIC (UIDB/00051/2020 and UIDP/00051/2020).

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