Please use this identifier to cite or link to this item: https://doi.org/10.3390/metabo9040076
Title: Systems biology and multi-omics integration: Viewpoints from the metabolomics research community
Authors: Pinu, F.R.
Beale, D.J.
Paten, A.M.
Kouremenos, K.
Swarup, S. 
Schirra, H.J.
Wishart, D.
Keywords: Data analysis
Data integration
Databases
Experimental design
Mathematical modeling
Metabolic networks
Pathway analysis
Quantitative omics
Translational metabolomics
Issue Date: 2019
Publisher: MDPI AG
Citation: Pinu, F.R., Beale, D.J., Paten, A.M., Kouremenos, K., Swarup, S., Schirra, H.J., Wishart, D. (2019). Systems biology and multi-omics integration: Viewpoints from the metabolomics research community. Metabolites 9 (4) : 76. ScholarBank@NUS Repository. https://doi.org/10.3390/metabo9040076
Rights: Attribution 4.0 International
Abstract: The use of multiple omics techniques (i.e., genomics, transcriptomics, proteomics, and metabolomics) is becoming increasingly popular in all facets of life science. Omics techniques provide a more holistic molecular perspective of studied biological systems compared to traditional approaches. However, due to their inherent data di_erences, integrating multiple omics platforms remains an ongoing challenge for many researchers. As metabolites represent the downstream products of multiple interactions between genes, transcripts, and proteins, metabolomics, the tools and approaches routinely used in this field could assist with the integration of these complex multi-omics data sets. The question is, how? Here we provide some answers (in terms of methods, software tools and databases) along with a variety of recommendations and a list of continuing challenges as identified during a peer session on multi-omics integration that was held at the recent ‘Australian and New Zealand Metabolomics Conference’ (ANZMET 2018) in Auckland, New Zealand (Sept. 2018). We envisage that this document will serve as a guide to metabolomics researchers and other members of the community wishing to perform multi-omics studies. We also believe that these ideas may allow the full promise of integrated multi-omics research and, ultimately, of systems biology to be realized. © 2019, MDPI AG. All rights reserved.
Source Title: Metabolites
URI: https://scholarbank.nus.edu.sg/handle/10635/213270
ISSN: 2218-1989
DOI: 10.3390/metabo9040076
Rights: Attribution 4.0 International
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