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Updated: May 31, 2026
Preparation of Drosophila Larval Samples for Gas Chromatography-Mass Spectrometry (GC-MS)-based Metabolomics
Published on: June 6, 2018
Metab: an R package for high-throughput analysis of metabolomics data generated by GC-MS
Raphael Aggio1, Silas Granato Villas-Bôas, Katya Ruggiero
1Centre for Microbial Innovation, School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Motivation:
The Automated Mass Spectral Deconvolution and Identification System (AMDIS) is freeware extensively applied in metabolomics. However, datasets processed by AMDIS require extensive data correction, filtering and reshaping to create reliable datasets for further downstream analysis. Performed manually, these processes are laborious and extremely time consuming. Furthermore, manual corrections increase the chance of human error and can introduce additional technical variability to the data. Thus, an automated pipeline for curating GC-MS data is urgently needed.
Results:
We present the Metab R package designed to automate the pipeline for analysis of metabolomics GC-MS datasets processed by AMDIS.
Availability:
The Metab package, the AMDIS library and the reference ion library are available at www.metabolomics.auckland.ac.nz/index.php/downloads.
Contact:
k.ruggiero@auckland.ac.nz.
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