Computational Lipidomics

Lipidomics encompasses analytical approaches that aim to identify and quantify the complete set of lipids, defined as lipidome in a given cell, tissue, or organism, and their interactions with other molecules. Most lipidomics workflows are based on mass spectrometry and have been proven a powerful tool in system biology in concert with other Omics disciplines. Unfortunately, computational approaches for this relatively young discipline are limited and only accessible to some specialists. Search engines, quantification algorithms, visualization tools, and databases developed by the ‘Lipidomics Informatics for Life-Science’ (LIFS) initiative will provide a structured and standardized format for broad access to these specialized bioinformatics pipelines. Many medical challenges related to lipid metabolic alterations will be highly supported by such capacity-building.  Within LIFS, we already provide access to several tools, workflows, tutorials, and training via a unified web portal (

HFSP Award goes to our lab!

With great pleasure, I announce that we were awarded through the Human Frontier Science Program. We are eager to start the chapter of synaptoneurolipidomics, and we are thrilled to start this great project with labs around the globe:

We Love Lipids

We are delighted to contribute to the “We Love Lipids” Tutorial in 2022, introducing lipidomics and lipid sciences. Please save the dates and meet us again soon!

100 min with ILS

It is with great pleasure to announce the 2022 100 min with ILS podcast again. Stay tuned!