Please use this identifier to cite or link to this item: https://doi.org/10.3390/metabo9040076
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dc.titleSystems biology and multi-omics integration: Viewpoints from the metabolomics research community
dc.contributor.authorPinu, F.R.
dc.contributor.authorBeale, D.J.
dc.contributor.authorPaten, A.M.
dc.contributor.authorKouremenos, K.
dc.contributor.authorSwarup, S.
dc.contributor.authorSchirra, H.J.
dc.contributor.authorWishart, D.
dc.date.accessioned2022-01-07T03:52:14Z
dc.date.available2022-01-07T03:52:14Z
dc.date.issued2019
dc.identifier.citationPinu, 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
dc.identifier.issn2218-1989
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/213270
dc.description.abstractThe 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.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2019
dc.subjectData analysis
dc.subjectData integration
dc.subjectDatabases
dc.subjectExperimental design
dc.subjectMathematical modeling
dc.subjectMetabolic networks
dc.subjectPathway analysis
dc.subjectQuantitative omics
dc.subjectTranslational metabolomics
dc.typeArticle
dc.contributor.departmentDEPT OF BIOLOGICAL SCIENCES
dc.description.doi10.3390/metabo9040076
dc.description.sourcetitleMetabolites
dc.description.volume9
dc.description.issue4
dc.description.page76
dc.published.statePublished
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