Advances in Multi-Omics Sequencing Data in Biological Systems
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Cellular and Molecular Bioengineering".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 866
Special Issue Editor
Special Issue Information
Dear Colleagues,
Multi-omics sequencing is a rapidly evolving field in biological sciences, integrating various types of omics data such as genomics, transcriptomics, proteomics, and metabolomics. This integrative approach provides a comprehensive understanding of biological systems by capturing data from multiple molecular layers, thus offering deeper insights into the complex interactions within cells, tissues, and organisms. The application of multi-omics has revolutionized our ability to study diseases, cellular processes, and organismal responses to environmental changes. For instance, in cancer research, multi-omics approaches have facilitated the identification of novel biomarkers and therapeutic targets by linking genetic mutations to changes in gene expression, protein function, and metabolic pathways.
This holistic perspective allows researchers to unravel the complexity of biological systems, making it possible to identify key regulatory networks and pathways that would be overlooked when using a single omics approach. As technology advances, the integration of multi-omics data is expected to play a pivotal role in personalized medicine, drug discovery, and the development of more effective therapeutic strategies. By combining data from different omics layers, researchers can achieve a more nuanced understanding of the molecular mechanisms driving health and disease, ultimately leading to more precise interventions and treatments.
This Special Issue on “Advances of Multi-Omics Sequencing Data in Biological Systems” invites original research papers and comprehensive reviews about the latest progress of Multi-Omics data and its application in cellular biology, human disease and computational algorithms.
Dr. Wenjiang Deng
Guest Editor
Manuscript Submission Information
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Keywords
- multi-omics
- sequencing data
- next-generation sequencing
- bioinformatics
- computational biology
- statistical algorithms
- single cell data
- human diseases
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