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Wehrens R, Weingart G, Mattivi F. metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics. J Chromatogr B Analyt Technol Biomed Life Sci. 2014;966:109-16doi: 10.1016/j.jchromb.2014.02.051.
Wehrens, R., Weingart, G., & Mattivi, F. (2014). metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics. Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 966109-16. https://doi.org/10.1016/j.jchromb.2014.02.051
Wehrens, Ron, et al. "metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics." Journal of chromatography. B, Analytical technologies in the biomedical and life sciences vol. 966 (2014): 109-16. doi: https://doi.org/10.1016/j.jchromb.2014.02.051
Wehrens R, Weingart G, Mattivi F. metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics. J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 01;966:109-16. doi: 10.1016/j.jchromb.2014.02.051. Epub 2014 Mar 12. PMID: 24656939.
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J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 01;966:109-16. doi: 10.1016/j.jchromb.2014.02.051. Epub 2014 Mar 12.

metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

Ron Wehrens, Georg Weingart, Fulvio Mattivi

Affiliations

  1. IASMA Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, San Michele all'Adige, TN, Italy. Electronic address: [email protected].
  2. IASMA Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, San Michele all'Adige, TN, Italy.

PMID: 24656939 DOI: 10.1016/j.jchromb.2014.02.051

Abstract

Untargeted metabolomics are rapidly becoming an important tool for studying complex biological samples. Gas chromatography-mass spectrometry (GC-MS) is the most widely used analytical technology for metabolomic analysis of compounds that are volatile or can be chemically derivatised into volatile compounds. Unfortunately, data processing and analysis are not straightforward and the field is dominated by vendor-supplied software that does not always allow easy integration for large laboratories with different instruments. This paper presents an open-source pipeline for high-throughput GC-MS data processing, written in the R language and available as package metaMS. It features rapid annotation using in-house databases, and also provides support for building and validating such databases. The results are presented in simple-to-use tables, summarising the relative concentrations of identified compounds and unknowns in all samples. The use of the pipeline is illustrated using three experimental data sets.

Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords: Annotation; GC–MS; Metabolomics; Open-source software; Volatiles

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