Multi-Omics in Health and Disease
A special issue of Methods and Protocols (ISSN 2409-9279).
Deadline for manuscript submissions: closed (15 December 2019) | Viewed by 3432
Special Issue Editors
Interests: bioinformatics; artificial intelligence; integrative data analytics
Interests: machine learning; bioinformatics; healthcare informatics; healthcare technology; intelligent data analysis; integrative data analytics; assistive technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The past decade has seen advances in technologies such as high-throughput sequencing and mass spectrometry, resulting in large-scale production of “omic” data. Technologies can capture “omic” data across various cellular levels, including the genome, epigenome, transcriptome, proteome, and metabolome. Individually, these technologies have advanced our understanding of disease and are beginning to enable the era of precision medicine. However, no one technology can capture the full complexity and heterogeneity of disease. To provide a more comprehensive view of human health and disease, the integration of multi-omics data has been proposed to understand, diagnose, and aid in providing targeted treatment/prevention plans to patients. To address this challenge, a multi-disciplinary cutting-edge research effort is required. This should combine different scientific disciplines such as bioinformatics, computing medicine, chemistry, and mathematics.
In this Special Issue titled “Multi-Omics in Health and Disease”, we welcome original research and review articles presenting novel computational and bioinformatics methodologies and algorithmic approaches that address the challenges in (1) multi-omics and clinical data integration, (2) handling heterogenous multi-omics big data, (3) bioinformatics tools to integrate and visualise multi-omics biological data, (4) multi-omics data sharing, standards, privacy, and protection, (5) applications of multi-omics approaches to improving our understanding of disease mechanisms and their integration into clinical practice.
Dr. Fiona Browne
Prof. Huiru Zheng
Guest Editors
Manuscript Submission Information
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Keywords
- multi-omics integration
- big data
- integrative analysis
- healthcare
- disease
- genomics
- epigenomics
- proteomics
- metabolomics
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