|State||Published - Mar 2021|
Bibliographical noteFunding Information:
Funding: This research was funded by NIH/NIEHS, grant number P42ES007380 (UK Superfund Research Center); NSF, grant number 1419282 (Moseley); NSF, grant number 2020026 (Moseley); and NIH, grant number R03OD030603 (Moseley).
This research was funded by NIH/NIEHS, grant number P42ES007380 (UK Superfund Research Center); NSF, grant number 1419282 (Moseley); NSF, grant number 2020026 (Moseley); and NIH, grant number R03OD030603 (Moseley).The authors would like to acknowledge the amazing degree of care and effort that Shankar Subramaniam, Eoin Fahy, and the whole MW/UC San Diego team have put into provisioning FAIR access to metabolite studies and their incredible effort in expanding and maintaining the repository. We have been in regular contact with the MW staff members, and when we have raised issues with errors in specific data files or had questions, they have always promptly responded to resolve the issue, in some instances replying and resolving the issue in less than 12 h.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Data deposition
- Data validation
- Metabolomics workbench
- Python package
ASJC Scopus subject areas
- Endocrinology, Diabetes and Metabolism
- Molecular Biology