… TargetSearch allows fast and accurate data pre-processing for GC-MS experiments and …
it with other GC-MS pre-processing tools. We believe this package will greatly ease current …

… Metab R package designed to automate the pipeline for analysis of metabolomics GC-MS
datasets … We have introduced a new R package, Metab, which automates the tasks commonly …

… resolution GC×GC-MS. While the msPeak package provides peak picking for GC×GC-MS
data… advantage of the mass selectivity provided by the MS detector. It does not appear that any …

… A set of specifically designed experiments was performed in-house and used to comparatively
evaluate the performance of PyMS and three widely used software packages for GC-MS …

… , a package implementing a pipeline for untargeted GC–MS metabolomics. It is based on
the open source packages … metaMS package, available the Bioconductor repository (http://www.…

… for separation and detection by GC-MS. GC-MS and LC-MS are complementary techniques,
… Thus, we recommend using the fillPeaks.chrom function in the XCMS R package to replace …

… techniques coupled to MS, in this tutorial we will focus on the use of the GC-(EI)-Q-MS. …
Another widely used tool in metabolomics data pre-processing is the XCMS software package …

… The multivariate and feature selection tools are based on the ropls and biosigner
Bioconductor packages, respectively. The raw data are publicly available in the MetaboLights …

… The chromatoplots package is building on R package … and Bioconductor package for
preprocessing GC/MS and LC/MS … , and Bioconductor is platform hosting hundreds R packages …

… In particular, GC coupled to single quadrupole MS can be utilized for targeted analysis by …
analysis of GC-SIM-MS data. In this paper, we introduce a new R/Bioconductor package called …