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An accelerated workflow for untargeted metabolomics using the METLIN database

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Figure 1: Schematic representation of the traditional metabolomic workflow involving six steps and the new METLIN-based workflow with only two steps.
Figure 2: Estimate of the physiological relevance of metabolite coverage in metabolomic databases.

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Acknowledgements

This work was supported by the California Institute of Regenerative Medicine (TR1-01219), the US National Institutes of Health (R24 EY017540, P30 MH062261, RC1 HL101034 and P01 DA026146) and the US National Institutes of Health National Institute on Aging L30 AG0 038036 (G.J.P.). Financial support was also received from the US Department of Energy (grants FG02-07ER64325 and DE-AC0205CH11231).

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Correspondence to Gary J Patti or Gary Siuzdak.

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Supplementary Materials and Methods, Supplementary Table 1, and Supplementary Figues 1–32 (PDF 1992 kb)

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Tautenhahn, R., Cho, K., Uritboonthai, W. et al. An accelerated workflow for untargeted metabolomics using the METLIN database. Nat Biotechnol 30, 826–828 (2012). https://doi.org/10.1038/nbt.2348

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