Technical Papers for Metabolomics
References from Emory’s Clinical Biomarkers Laboratory clinicalmetabolomics.org
Sample preparation and instrumental acquisition
- Johnson, J. M., T. Yu, F. H. Strobel and D. P. Jones (2010). “A practical approach to detect unique metabolic patterns for personalized medicine.” Analyst 135(11): 2864-2870.
- Soltow, Q., F. H. Strobel, K. G. Mansfield, L. Wachtman, Y. Park and D. P. Jones (2013). “High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome.” Metabolomics.
- Park, Y. H., K. Lee, Q. A. Soltow, F. H. Strobel, K. L. Brigham, R. E. Parker, . . . D. P. Jones (2012). “High-performance metabolic profiling of plasma from seven mammalian species for simultaneous environmental chemical surveillance and bioeffect monitoring.” Toxicology 295(1-3): 47-55.
Data extraction and alignment
- Yu, T., Y. Park, J. M. Johnson and D. P. Jones (2009). “apLCMS–adaptive processing of high-resolution LC/MS data.” Bioinformatics 25(15): 1930-1936.
- Uppal, K., Q. A. Soltow, F. H. Strobel, W. S. Pittard, K. M. Gernert, T. Yu and D. P. Jones (2013). “xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data.” BMC Bioinformatics 14: 15.
- Yu, T., Y. Park, S. Li and D. P. Jones (2013). “Hybrid feature detection and information accumulation using high-resolution LC-MS metabolomics data.” J Proteome Res 12(3): 1419-1427.
Statistical analysis and pathway enrichment
- Li, S., Y. Park, S. Duraisingham, F. H. Strobel, N. Khan, Q. A. Soltow, . . . B. Pulendran (2013). “Predicting network activity from high throughput metabolomics.” PLoS Comput Biol 9(7): e1003123.
- Uppal, K., Q. A. Soltow, D. E. Promislow, L. M. Wachtman, A. A. Quyyumi, and D. P. Jones (2015). “MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data.” Front Bioeng Biotechnol 3(87).
Overall workflow
Other external references
- Xia, J. and D.S. Wishart (2011). “Web-based inference of biological patterns, functions and pathways from metabolomics data using MetaboAnalyst.” Nat Protoc 6:743-60
- Sugimoto, M., Kawakami, M., Robert, M., Soga, T., and M. Tomita (2012). “Bioinformatics Tools for mass Spectroscopy-Based Metabolomic Data Processing and Analysis.” Curr Bioinform 7:96-108.