LION/web: a web-based ontology enrichment tool for lipidomic data analysis.

ABSTRACT:

Background

A major challenge for lipidomic analyses is the handling of the large amounts of data and the translation of results to interpret the involvement of lipids in biological systems.

Results

We built a new lipid ontology (LION) that associates >50,000 lipid species to biophysical, chemical, and cell biological features. By making use of enrichment algorithms, we used LION to develop a web-based interface (LION/web, www.lipidontology.com) that allows identification of lipid-associated terms in lipidomes. LION/web was validated by analyzing a lipidomic dataset derived from well-characterized sub-cellular fractions of RAW 264.7 macrophages. Comparison of isolated plasma membranes with the microsomal fraction showed a significant enrichment of relevant LION-terms includin

SUBMITTER: Molenaar MR 

PROVIDER: S-EPMC6541037 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature