Accelerating Precision Medicine by High-Throughput Metabolomics and Data Sharing
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".
Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 901
Special Issue Editors
Interests: metabolomics; systems pharmacology; cancer metabolism; personalised medicine
Interests: bioinformatics; computational biology; systems biology; metabolomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics, i.e., the comprehensive analysis of metabolites in biological samples, has demonstrated its utility in precision medicine studies of patient stratification and in unbiased biomarker discovery. However, only a limited number of these approaches have been translated to the clinic.
To foster the integration of metabolomics data in precision medicine, further research is needed to address i) quality standards for data generation, storage, sharing, and access to meta-data, ii) consensus on metabolite identification and unknown characterisation, iii) reproducibility in data processing, multi-omics integration, and meta-analysis, and iv) the availability of data for underrepresented populations of patients and healthy subjects.
In this Special Issue, we welcome submissions in the field of metabolomics studies for precision medicine and metabolomics data sharing, platform standardisation, data repositories, computational and statistical strategies for data modelling, meta-analysis, and interpretation.
The aim of this Special Issue is to highlight advances, challenges, and opportunities for the effective implementation of metabolomics in precision medicine, to reinvigorate the interest in sharing metabolomics data, and support the dissemination of shared standards for the development and translation of precision healthcare approaches at large.
Dr. Amelia Palermo
Dr. Reza M. Salek
Guest Editors
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Keywords
- metabolomics profiling
- precision medicine
- metabolomics standards
- data repositories
- data sharing
- meta-analysis
- biomarker discovery
- precision therapies
- metabolite identification
- data modelling
- predictive models of disease
- drug sensitivity
- research reproducibility
- underrepresented patients
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