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BioMed Research International
Volume 2014, Article ID 971857, 7 pages
http://dx.doi.org/10.1155/2014/971857
Research Article

O18Quant: A Semiautomatic Strategy for Quantitative Analysis of High-Resolution 16O/18O Labeled Data

1Center for Quantitative Sciences, Vanderbilt University, Nashville, TN 37027, USA
2Center for Proteomics and Bioinformatics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
3Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Science, Chinese Academy of Sciences, Shanghai 200031, China

Received 28 February 2014; Accepted 18 April 2014; Published 11 May 2014

Academic Editor: Leng Han

Copyright © 2014 Yan Guo et al. 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

Yan Guo, Masaru Miyagi, Rong Zeng, and Quanhu Sheng, “O18Quant: A Semiautomatic Strategy for Quantitative Analysis of High-Resolution 16O/18O Labeled Data,” BioMed Research International, vol. 2014, Article ID 971857, 7 pages, 2014. https://doi.org/10.1155/2014/971857.