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.

MetaMS: An open-source pipeline for GC-MS-based untargeted metabolomics / Wehrens, Ron; Weingart, Georg; Mattivi, Fulvio. - In: JOURNAL OF CHROMATOGRAPHY. B. - ISSN 1570-0232. - 966:(2014), pp. 109-116. [10.1016/j.jchromb.2014.02.051]

MetaMS: An open-source pipeline for GC-MS-based untargeted metabolomics

Mattivi, Fulvio
2014-01-01

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.
2014
Wehrens, Ron; Weingart, Georg; Mattivi, Fulvio
MetaMS: An open-source pipeline for GC-MS-based untargeted metabolomics / Wehrens, Ron; Weingart, Georg; Mattivi, Fulvio. - In: JOURNAL OF CHROMATOGRAPHY. B. - ISSN 1570-0232. - 966:(2014), pp. 109-116. [10.1016/j.jchromb.2014.02.051]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/176907
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