Integrative Multi-Omics for Novel Clinical Insights
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".
Deadline for manuscript submissions: closed (20 November 2020) | Viewed by 6591
Special Issue Editor
Special Issue Information
Dear colleagues,
Recent advances in high-throughput sequencing and other omics technologies have made it possible to generate a tremendous amount of biomolecular data on clinical cohorts. Moreover, it has been shown in a number of contexts that signatures combining multiple omics data types outperform single-analyte- or single-omic-based classifiers. Significant challenges remain, as the computational tools for integrating these diverse data types are still limited, and the interpretation of complex multi-omic datasets can be challenging.
This Special Issue will showcase novel basic, clinical, and in silico research that leverages the integration of multiple omics data types (e.g., genomics, proteomics, epigenomics, metabolomics, microbiomics, etc.) to elucidate the biology underlying clinical disease phenotypes (e.g. cancer, diabetes, neurological disease, etc.). Review articles surveying existing multi-omics research and methodology will also be featured.
Dr. Brian Piening
Guest Editor
Manuscript Submission Information
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Keywords
- genomics
- proteomics
- metabolomics
- microbiome
- multi-omics
- bioinformatics
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