Lipidomics is the large-scale study of lipids in biological systems. The analysis of large datasets, potentially containing up to thousands of lipidomes, is a challenging endeavour. We have established multiparametric statistical approaches, tailored to quantify lipid data. These methods are geared to identify lipid biomarkers. 

In this white paper a cohort of healthy subjects is compared with a cohort of diseased persons to identify lipid signatures that discriminate health from disease. Such signatures could potentially be useful for disease stratification or for diagnosis by means of predictive modelling (machine learning). In this white paper, we will guide you through the data analysis process aiming at the identification of lipid biomarkers and the evaluations of their performance.


Learn more about Big Data Lipidomics: Our White Paper guides you through the data analysis process aiming at the identification of lipid biomarkers and the evaluations of their performance. It includes:

  • A description of the data analysis process and the statistical methods used: e.g. principal component analysis, statistical tests, correlation analysis and enrichment analysis including pathway analysis. We also show-case how we work with predictive modelling (or machine learning).
  • How algorithms and a full set of methods are tailored to quantitative lipid data
  • Applications of big datasets in lipidomics such as for biomarker identification in clinical research and clinical diagnostics, in drug discovery for mode-of-action studies as well as for food and cosmetics applications.


Discover the free White Paper about Big Data Lipidomics. Just fill out the form!

Discover the free White Paper about
Big Data Lipidomics – just fill out the form


Applications for big data lipidomics

  • Lipid biomarker identification and validation (pharmacodynamic, pharmacokinetic, CDx) for biotech and pharma industry as well as (pre-)clinical research
  • Lipid biomarker identification and validation for clinical diagnostics (prognostic, diagnostic, patient stratification)
  • Identification of novel, lipid-related therapeutic targets and mode-of-action studies in drug discovery phases
  • Intervention studies for development of functional food/nutraceuticals
  • Cosmetic claim support for (active) ingredients for cosmetic industry
»Lipotype enables every researcher to integrate lipidomics in their research.«
Prof. Kai Simons, CEO of Lipotype

About Lipotype

Lipotype is a spin-off company from the Kai Simons and Andrej Shevchenko labs of the world-renowned Max-Planck-Institute of Molecular Cell Biology and Genetics in Dresden, Germany. Drawing on many years of cutting edge research experience, Lipotype delivers comprehensive, absolutely quantitative lipid analysis services for clinical and biological samples on a high-throughput scale. Lipotype offers high quality lipid analysis services for a wide range of customers and applications including biomarker identification for clinical researchers, pharma and biotech companies, functional food development for the food industry, claim support for the cosmetics industry, as well as for the small-scale profiling needs of academic researchers