Metabolomics and Multi-Omics Integration

Dear Colleagues,

Metabolomics, the measurement of small molecule (<1500 Daltons) abundances in biospecimens such as blood, tissue, urine and breath, is playing an increasing role in epidemiological, clinical, translational, and basic research.  Metabolite profiles generated from these studies help define disease phenotypes and reflect alterations in the genome, epigenome, proteome, microbiome, and environment (exposures and lifestyle). Importantly, the interplay between analytes, including genes, proteins, metabolites, and microbes, is well known to affect cellular development and alterations in this interplay can lead to disease development.  The research community is thus increasingly generating large omics datasets to study disease processes and to uncover novel biomarkers and therapies.  With this in mind, the focus of this Special Issue is to highlight the latest developments in analytical and computational approaches and methodologies that integrate these large complex datasets to facilitate data interpretation and discovery of biological processes.

Dr. Ewy Mathé
Guest Editor

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