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Spectroscopy
Volume 26, Issue 3, Pages 151-154
http://dx.doi.org/10.3233/SPE-2011-0534

Meta-analysis of global metabolomics and proteomics data to link alterations with phenotype

Gary J. Patti,1 Ralf Tautenhahn,2 Bryan R. Fonslow,3 Yonghoon Cho,2 Adam Deutschbauer,4 Adam Arkin,4 Trent Northen,5 and Gary Siuzdak2

1Departments of Chemistry, Genetics and Medicine, Washington University School of Medicine, St. Louis, MO, USA
2Center for Metabolomics and Mass Spectrometry, The Scripps Research Institute, La Jolla, CA, USA
3Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA, USA
4Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
5Department of Bioengergy/GTL & Structural Biology, Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Copyright © 2011 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Gary J. Patti, Ralf Tautenhahn, Bryan R. Fonslow, et al., “Meta-analysis of global metabolomics and proteomics data to link alterations with phenotype,” Spectroscopy, vol. 26, no. 3, pp. 151-154, 2011. https://doi.org/10.3233/SPE-2011-0534.