Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging-Reference-Cited by-同舟云学术

Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging

Published:2024-03-13 Issue:2 Volume:20 Page:
ISSN:1573-3890
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Gouveia Goncalo Jorge^ORCID,Head Thomas^ORCID,Cheng Leo L.^ORCID,Clendinen Chaevien S.,Cort John R.^ORCID,Du Xiuxia^ORCID,Edison Arthur S.^ORCID,Fleischer Candace C.^ORCID,Hoch Jeffrey^ORCID,Mercaldo Nathaniel^ORCID,Pathmasiri Wimal^ORCID,Raftery Daniel^ORCID,Schock Tracey B.^ORCID,Sumner Lloyd W.^ORCID,Takis Panteleimon G.^ORCID,Copié Valérie^ORCID,Eghbalnia Hamid R.^ORCID,Powers Robert^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11306-024-02090-6.pdf

Reference35 articles.

1. Alseekh, S., Aharoni, A., Brotman, Y., Contrepois, K., D’Auria, J., Ewald, J., Fraser, P. D., Giavalisco, P., Hall, R. D., Heinemann, M., Link, H., Luo, J., Neumann, S., Nielsen, J., Perez de Souza, L., Saito, K., Sauer, U., Schroeder, F. C., Schuster, S., … Fernie, A. R. (2021). Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices. Natue Methods, 18, 747–756. https://doi.org/10.1038/s41592-021-01197-1

2. Beger, R. D., Dunn, W. B., Bandukwala, A., Bethan, B., Broadhurst, D., Clish, C. B., Dasari, S., Derr, L., Evans, A., Fischer, S., Flynn, T., Hartung, T., Herrington, D., Higashi, R., Hsu, P. C., Jones, C., Kachman, M., Karuso, H., Kruppa, G., … Zanetti, K. A. (2019). Towards quality assurance and quality control in untargeted metabolomics studies. Metabolomics, 15, 1–5. https://doi.org/10.1007/s11306-018-1453-6

3. Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., Cortes, A., Welsh, S., Young, A., Effingham, M., McVean, G., Leslie, S., Allen, N., Donnelly, P., & Marchini, J. (2018). The UK Biobank resource with deep phenotyping and genomic data. Nature, 562, 203–209. https://doi.org/10.1038/s41586-018-0579-z

4. Claeys, T., Van Den Bossche, T., Perez-Riverol, Y., Gevaert, K., Vizcaíno, J. A., & Martens, L. (2023). lesSDRF is more: Maximizing the value of proteomics data through streamlined metadata annotation. Nature Communications, 14, 6743. https://doi.org/10.1038/s41467-023-42543-5

5. Creek, D. J., Dunn, W. B., Fiehn, O., Griffin, J. L., Hall, R. D., Lei, Z., Mistrik, R., Neumann, S., Schymanski, E. L., Sumner, L. W., Trengove, R., & Wolfender, J.-L. (2014). Metabolite identification: Are you sure? And how do your peers gauge your confidence? Metabolomics, 10, 350–353. https://doi.org/10.1007/s11306-014-0656-8

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