Spectral Deconvolution for Small Molecule Analysis
Author:
Affiliation:
1. Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology
Publisher
The Mass Spectrometry Society of Japan
Link
https://www.jstage.jst.go.jp/article/massspec/72/2/72_S24-10/_pdf
Reference8 articles.
1. 1) S. E. Stein, “An integrated method for spectrum extraction and compound identification from gas chromatography/mass spectrometry data.” J. Am. Soc. Mass Spectrom., 10, 770–781 (1999).
2. 2) E. Stancliffe, M. Schwaiger-Haber, M. Sindelar, and G. J. Patti, “DecoID improves identification rates in metabolomics through database-assisted MS/MS deconvolution.” Nat. Methods, 18, 779–+ (2021).
3. 3) A. Smirnov, et al., “ADAP-GC 4.0: Application of clustering-assisted multivariate curve resolution to spectral deconvolution of gas chromatography-mass spectrometry metabolomics data.” Anal. Chem., 91, 9069–9077 (2019).
4. 4) H. Tsugawa, et al., “MS-DIAL: Data-independent MS/MS deconvolution for comprehensive metabolome analysis.” Nat. Methods, 12, 523–+ (2015).
5. 5) C. A. Smith, E. J. Want, G. O’Maille, R. Abagyan, and G. Siuzdak, “XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.” Anal. Chem., 78, 779–787 (2006).
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