Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66034
Title: | Semiautomated alignment of high-throughput metabolite profiles with chemometric tools | Authors: | Wu, ZY Zeng, ZD Xiao, ZD Mok, DKW Liang, YZ Chau, FT Chan, HY |
Issue Date: | 2017 | Source: | Journal of analytical methods in chemistry, 2017, v. 2017, 9402045 | Abstract: | The rapid increase in the use of metabolite profiling/fingerprinting techniques to resolve complicated issues in metabolomics has stimulated demand for data processing techniques, such as alignment, to extract detailed information. In this study, a new and automated method was developed to correct the retention time shift of high-dimensional and high-throughput data sets. Information from the target chromatographic profiles was used to determine the standard profile as a reference for alignment. A novel, piecewise data partition strategy was applied for the determination of the target components in the standard profile as markers for alignment. An automated target search (ATS) method was proposed to find the exact retention times of the selected targets in other profiles for alignment. The linear interpolation technique (LIT) was employed to align the profiles prior to pattern recognition, comprehensive comparison analysis, and other data processing steps. In total, 94 metabolite profiles of ginseng were studied, including the most volatile secondary metabolites. The method used in this article could be an essential step in the extraction of information from high-throughput data acquired in the study of systems biology, metabolomics, and biomarker discovery. | Publisher: | Hindawi Publishing Corporation | Journal: | Journal of analytical methods in chemistry | ISSN: | 2090-8865 | EISSN: | 2090-8873 | DOI: | 10.1155/2017/9402045 | Rights: | Copyright © 2017 Ze-ying Wu 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. The following article: Wu, Z. Y., Zeng, Z. D., Xiao, Z. D., Mok, D. K. W., Liang, Y. Z., Chau, F. T., & Chan, H. Y. (2017). Semiautomated Alignment of High-Throughput Metabolite Profiles with Chemometric Tools. Journal of analytical methods in chemistry, 2017, is available at https//doi.org/10.1155/2017/9402045 |
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