Imperial College London
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DrPanteleimonTakis

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Honorary Research Associate
 
 
 
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Contact

 

p.takis Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gouveia:2024:10.1007/s11306-024-02090-6,
author = {Gouveia, GJ and Head, T and Cheng, LL and Clendinen, CS and Cort, JR and Du, X and Edison, AS and Fleischer, CC and Hoch, J and Mercaldo, N and Pathmasiri, W and Raftery, D and Schock, TB and Sumner, LW and Takis, PG and Copié, V and Eghbalnia, HR and Powers, R},
doi = {10.1007/s11306-024-02090-6},
journal = {Metabolomics},
title = {Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging.},
url = {http://dx.doi.org/10.1007/s11306-024-02090-6},
volume = {20},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: The National Cancer Institute issued a Request for Information (RFI; NOT-CA-23-007) in October 2022, soliciting input on using and reusing metabolomics data. This RFI aimed to gather input on best practices for metabolomics data storage, management, and use/reuse. AIM OF REVIEW: The nuclear magnetic resonance (NMR) Interest Group within the Metabolomics Association of North America (MANA) prepared a set of recommendations regarding the deposition, archiving, use, and reuse of NMR-based and, to a lesser extent, mass spectrometry (MS)-based metabolomics datasets. These recommendations were built on the collective experiences of metabolomics researchers within MANA who are generating, handling, and analyzing diverse metabolomics datasets spanning experimental (sample handling and preparation, NMR/MS metabolomics data acquisition, processing, and spectral analyses) to computational (automation of spectral processing, univariate and multivariate statistical analysis, metabolite prediction and identification, multi-omics data integration, etc.) studies. KEY SCIENTIFIC CONCEPTS OF REVIEW: We provide a synopsis of our collective view regarding the use and reuse of metabolomics data and articulate several recommendations regarding best practices, which are aimed at encouraging researchers to strengthen efforts toward maximizing the utility of metabolomics data, multi-omics data integration, and enhancing the overall scientific impact of metabolomics studies.
AU  - Gouveia,GJ
AU  - Head,T
AU  - Cheng,LL
AU  - Clendinen,CS
AU  - Cort,JR
AU  - Du,X
AU  - Edison,AS
AU  - Fleischer,CC
AU  - Hoch,J
AU  - Mercaldo,N
AU  - Pathmasiri,W
AU  - Raftery,D
AU  - Schock,TB
AU  - Sumner,LW
AU  - Takis,PG
AU  - Copié,V
AU  - Eghbalnia,HR
AU  - Powers,R
DO  - 10.1007/s11306-024-02090-6
PY  - 2024///
TI  - Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging.
T2  - Metabolomics
UR  - http://dx.doi.org/10.1007/s11306-024-02090-6
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38480600
VL  - 20
ER  -
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