[Bioinformatics Project] Computer-aided decision support for interpreting complex lipidomics data

Lipids such as cholesterol or triglycerides are involved in a plethora of medical disorders and diseases ranging from cardiovascular diseases (including obesity and artherosclerosis) to neurodegenerative disorders such as Parkinson’s disease. An in-depth analysis of individual lipid classes and species is often indispensable to unravel the mechanisms underlying disease onset and progression.

Lipidomics, which is the large-scale study of cellular lipids in biological systems using mass spectrometry, is the only technique which is able to provide this critical information. However, there is still a lack of accessible tools for the interpretation and downstream analysis of these complex lipidomics datasets.

In this project we are planning to develop a freely available, interactive and easy-to-use web-based prototype system for lipidomics analysis. 

For more information, contact the primary supervisor A/Prof Ralf Schittenhelm <ralf.schittenhelm@monash.edu>