Yuri Corilo

The paper annotates DOM metabolomes using a molecular formula library from FT-ICR MS, achieving higher annotation rates than conventional MS/MS methods.

This study evaluates and refines assumptions in retention index scores for GC-MS metabolite identification to improve accuracy and reduce manual verification.

This paper improves false discovery rate estimation in GC-MS metabolomics by extending Gaussian mixture models to incorporate similarity scores and experimental data.

MetaboDirect is an open-source pipeline for processing FTICR-MS metabolomics data, offering automated analysis, visualization, and biochemical network generation.