Neha Garg

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

IDBac provides a centralized database and platform for bacterial identification via MALDI-TOF MS, enabling spectral comparison and analysis of bacterial isolates.

The paper identifies new metallophores produced by Microbulbifer in mixed culture with a coral pathogen using computational mass spectrometry and genome mining.

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

The paper analyzes metabolomic profiles of four stony coral species to identify inter- and intraspecies variation in host and endosymbiont-derived pathways related to disease resistance.

ModiFinder localizes structural modification sites in small molecules by aligning MS/MS spectra of known and unknown compounds.

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 uses metabolomics to identify metabolic markers of stony coral tissue loss disease in Montastraea cavernosa, revealing differences between healthy, diseased, and recovered corals.

The paper introduces a web-based tool for collaborative analysis of mass spectrometry data, enabling remote inspection, visualization, and analysis of private and public datasets.

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.