The ideas, concepts and findings behind our tools and standards
A selection of our peer-reviewed work in lipidomics informatics — from grammar-based name normalization to community data standards. Open one for a short, plain-language summary.
Harmonization & nomenclature
Goslin: A Grammar of Succinct Lipid Nomenclature
A formal grammar that lets software read lipid names written in many different dialects and normalize them to one standard shorthand.
Goslin 2.0 — implementing the latest lipid shorthand nomenclature
An update that tracks the evolving community nomenclature and adds parsing of systematic IUPAC-IUB lipid names.
Identification & Quantification
LipidCreator — building targeted lipidomics assays
Software that designs targeted mass-spectrometry assays and in-silico spectral libraries for lipids.
Concordant inter-laboratory ceramide concentrations in human plasma via authentic standards
A global ring trial showing that, with shared authentic standards, laboratories worldwide arrive at concordant absolute concentrations of ceramides in human plasma reference materials.
Comparison, ML & cloud analysis
Standards & interoperability
mzTab-M — a standard for quantitative MS metabolomics
A single, well-specified text format for sharing quantitative metabolomics and lipidomics results.
The Proteomics Standards Initiative at twenty years
How an open community sustains the data formats, vocabularies and quality metrics that mass spectrometry depends on.
Communicating MS quality information in mzQC with Python, R and Java
Open-source libraries in three languages that let any software read, write and validate mzQC quality-control files.
Introduction of a lipidomics scoring system for data quality assessment
A points-based scoring system that gives each lipid identification a transparent quality and confidence score from the analytical evidence behind it.