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http://hdl.handle.net/2445/209870
Title: | GCIMS: An R package for untargeted gas chromatography - Ion mobility spectrometry data processing |
Author: | Oller Moreno, Sergio Mallafre Muro, Celia Fernández Romero, Luis Caballero, Eduardo Blanco, A. Gumà, J. Marco Colás, Santiago Pardo Martínez, Antonio |
Keywords: | Cromatografia de gasos Espectroscòpia de mobilitat d'ions Compostos orgànics volàtils Gas chromatography Ion mobility spectroscopy Volatile organic compounds |
Issue Date: | 15-Oct-2023 |
Publisher: | Elsevier B.V. |
Abstract: | Gas-Chromatography coupled to Ion Mobility Spectrometry (GC-IMS) based metabolomics is an emerging technique for obtaining fast, reliable untargeted metabolic fingerprints of biofluids. The generated raw data is highly dimensional and complex, suffers from baseline problems, misalignments, long peak tails and strong non-linearities that must be corrected to extract chemically relevant features from samples. In this work, we present our GCIMS R package, which includes spectra loading, metadata handling, denoising, baseline correction, spectral and chromatographic alignment, peak detection, integration, and peak clustering to produce a peak table ready for multivariate data analysis. We discuss package design decisions, and, for illustration purposes, we show a case study of sex discrimination on the basis of the volatile compounds in urine samples. The GCIMS package provides a user-friendly workflow for non-code developers to process their raw data samples. |
Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.chemolab.2023.104938 |
It is part of: | Chemometrics and Intelligent Laboratory Systems, 2023, vol. 241, num.15, p. 1-7 |
URI: | http://hdl.handle.net/2445/209870 |
Related resource: | https://doi.org/10.1016/j.chemolab.2023.104938 |
ISSN: | 0169-7439 |
Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC)) |
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