Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity
The rapid advancement of high-throughput technologies has led to the generation of vast amounts of omics data, including genomics, epigenomics, and metabolomics. Integrating these diverse datasets has become essential for gaining comprehensive insights into complex biological systems and enhancing p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/329 |
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| author | Eugenia Papadaki Ioannis Kakkos Panagiotis Vlamos Ourania Petropoulou Stavros T. Miloulis Stergios Palamas Aristidis G. Vrahatis |
| author_facet | Eugenia Papadaki Ioannis Kakkos Panagiotis Vlamos Ourania Petropoulou Stavros T. Miloulis Stergios Palamas Aristidis G. Vrahatis |
| author_sort | Eugenia Papadaki |
| collection | DOAJ |
| description | The rapid advancement of high-throughput technologies has led to the generation of vast amounts of omics data, including genomics, epigenomics, and metabolomics. Integrating these diverse datasets has become essential for gaining comprehensive insights into complex biological systems and enhancing personalized healthcare solutions. This critical review examines the current state of multi-omics data integration platforms, highlighting both the strengths and limitations of existing tools. By evaluating the latest digital platforms, such as GraphOmics, OmicsAnalyst, and others, the paper explores how they support seamless integration and analysis of omics data in healthcare applications. Special attention is given to their role in clinical decision-making, disease prediction, and personalized medicine, with a focus on their interoperability, scalability, and usability. The review also discusses the challenges these platforms face, such as data complexity, standardization issues, and the need for improved machine learning and AI-based analytics. Finally, the paper proposes directions for future research and development, emphasizing the importance of more advanced, user-friendly, and secure platforms that can better serve comprehensive healthcare needs. |
| format | Article |
| id | doaj-art-a50d0136e7d74307a929b414aeb5cf2e |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-a50d0136e7d74307a929b414aeb5cf2e2025-01-10T13:15:10ZengMDPI AGApplied Sciences2076-34172024-12-0115132910.3390/app15010329Recent Web Platforms for Multi-Omics Integration Unlocking Biological ComplexityEugenia Papadaki0Ioannis Kakkos1Panagiotis Vlamos2Ourania Petropoulou3Stavros T. Miloulis4Stergios Palamas5Aristidis G. Vrahatis6Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, GreeceBiomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, GreeceBiomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceBiomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceDepartment of Informatics, Ionian University, 49100 Corfu, GreeceBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, GreeceThe rapid advancement of high-throughput technologies has led to the generation of vast amounts of omics data, including genomics, epigenomics, and metabolomics. Integrating these diverse datasets has become essential for gaining comprehensive insights into complex biological systems and enhancing personalized healthcare solutions. This critical review examines the current state of multi-omics data integration platforms, highlighting both the strengths and limitations of existing tools. By evaluating the latest digital platforms, such as GraphOmics, OmicsAnalyst, and others, the paper explores how they support seamless integration and analysis of omics data in healthcare applications. Special attention is given to their role in clinical decision-making, disease prediction, and personalized medicine, with a focus on their interoperability, scalability, and usability. The review also discusses the challenges these platforms face, such as data complexity, standardization issues, and the need for improved machine learning and AI-based analytics. Finally, the paper proposes directions for future research and development, emphasizing the importance of more advanced, user-friendly, and secure platforms that can better serve comprehensive healthcare needs.https://www.mdpi.com/2076-3417/15/1/329multi-omics data integrationdigital healthcare platformsgenomicsepigenomicsmetabolomicspersonalized medicine |
| spellingShingle | Eugenia Papadaki Ioannis Kakkos Panagiotis Vlamos Ourania Petropoulou Stavros T. Miloulis Stergios Palamas Aristidis G. Vrahatis Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity Applied Sciences multi-omics data integration digital healthcare platforms genomics epigenomics metabolomics personalized medicine |
| title | Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity |
| title_full | Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity |
| title_fullStr | Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity |
| title_full_unstemmed | Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity |
| title_short | Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity |
| title_sort | recent web platforms for multi omics integration unlocking biological complexity |
| topic | multi-omics data integration digital healthcare platforms genomics epigenomics metabolomics personalized medicine |
| url | https://www.mdpi.com/2076-3417/15/1/329 |
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