Laura‐Isobel McCall

The Everything Bagel feature finder automates metabolomics data processing, achieving comparable or better performance than existing methods with significantly reduced computational time.

The paper assesses how fungal selection methods and environment-mimicking culture conditions affect the diversity of natural product libraries.

The paper introduces a collaborative platform for curating microbial metabolite knowledge to enhance metabolomics data interpretation.

This study examines metabolic changes in multiple tissues during toxoplasmosis, finding that immune responses, not parasite burden, drive metabolic perturbations in chronic infection.

This study optimizes bolus-based 13C stable isotope labeling in mouse models to achieve maximum TCA cycle labeling across multiple organs.

This paper develops a method to reduce natural product library size using mass spectrometry spectral similarity, minimizing bioactive loss and enabling faster, cheaper drug discovery.

This study shows SARS-CoV-2 infection causes greater metabolic disturbance in peripheral lung tissue than central tissue, despite higher viral loads in the center.

MassQL, an open-source query language, lets users search raw mass spectrometry data from any vendor for isotope, fragmentation and neutral-loss patterns, from one file to entire public repositories.

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

The paper develops ReDU, a tool for discovering and re-analyzing metabolomics data in GNPS, following FAIR principles.