Lipidomics is a novel OMICs science studying the role of lipids in human metabolism and disease. Elsevier Biology Knowledge Graph enables the analysis of lipidomics mass-spectroscopy data.
The MD Anderson Cancer Center are planning research on lipids as cancer biomarkers and on the enzymes involved in lipid metabolism as drug targets by analyzing lipidomics data from cancer patients. To support this research, Elsevier has enhanced its proprietary deep reading AI NLP technology to extract information about the biology of human lipids and augmented its Biology Knowledge Graph with data from public 3rd party databases such as HMDB and LMSD. To further support lipidomics research, Elsevier has developed and imported Lipids Ontology and reconstructed the metabolism of major classes of lipids in Pathway Studio, Elsevier’s software for Biology Knowledge Graph navigation and visualization.

In this webinar, we showcase possible workflows for statistical analysis and interpretation of lipidomics data using the Pathway Studio UI and explain how it can be accessed via Elsevier’s API.

Part of the AI Driven Innovation in Life Sciences series