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MetabolomicsMachine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites
In gas chromatography-mass spectrometry-based untargeted metabolomics, metabolites are identified by comparing mass spectra and chromatographic retention time with reference databases or standard materials. In that sense, machine learning has been used to predict the retention time of metabolites la...
2022-05-26 | MTBLS2841 | MetaboLights
MetabolomicseRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GCMS- based metabolomics
Gas chromatography coupled to mass spectrometry (GC-MS) has been a long- standing approach used for identifying small molecules due to the highly reproducible ionization process of electron impact ionization (EI). However, the use of GC-EI MS in untargeted metabolomics produces large and complex dat...
2016-09-22 | MTBLS321 | MetaboLights
MetabolomicsComparing Campylobacter jejuni to three other enteric pathogens in OligoMM 12 mice reveals pathogen-specific host and microbiota responses
Campylobacter jejuni, non-typhoidal Salmonella spp., Listeria monocytogenes and enteropathogenic/enterohemorrhagic Escherichia coli (EPEC/EHEC) are leading causes of food-borne illness worldwide. Citrobacter rodentium has been used to model EPEC and EHEC infection ...
2025-02-25 | MTBLS11078 | MetaboLights
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