Kozo Nishida

MSLipidMapper provides a pathway-centered lipidomics analysis tool that integrates lipid structure, subclass annotations, and multi-omics data for structured exploration.

The paper introduces MS-DIAL 5, a tool for analyzing multimodal mass spectrometry data to elucidate lipid structures and localization using structural annotations.

MS2Lipid predicts lipid subclasses from MS/MS data using machine learning, achieving high accuracy and outperforming existing tools.

The paper introduces transomics2cytoscape, an R package for automated 2.5D visualization of trans-omics networks, enabling rapid and dynamic interpretation of multi-omics data.

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.