Enhancing Metabolome Coverage in Data-Dependent LC–MS/MS Analysis through an Integrated Feature Extraction Strategy

In untargeted metabolomics, conventional data preprocessing software (e.g., XCMS, MZmine 2, MS-DIAL) are used extensively due to their high efficiency in metabolic feature extraction. However, these programs present limitations in recognizing low-abundance metabolic features, thus hindering complete metabolome coverage from the analysis. In this work, we explored the possibility of enhancing the metabolome coverage of data-dependent liquid chromatography–tandem mass spectrometry (LC–MS/MS) results by rescuing metabolic features that are missed by conventional software. To achieve this goal...


Jan 20 2020 - 3:00pm to 4:00pm
Dr. Yang Yang
California Institute of Technology
Jan 21 2020 - 12:45pm to 2:00pm
Jan 22 2020 - 5:00pm to 6:00pm
Rebecca DiPucchio
Department of Chemistry, University of British Colombia


Congratulations to Curtis Berlinguette!

Dr. Curtis Berlinguette has been awarded the Canadian Society for Chemistry Research Excellence in Materials Chemistry. This award is presented to a Canadian citizen or landed immigrant who has made an outstanding contribution to materials...

Chemistry Welcomes New Faculty Member Dr. Orlando Rojas

The Department of Chemistry is pleased to announce the appointment of Dr. Orlando Rojas as a Canada Excellence Research Chair (CERC) in Forest...