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

Primary supervisor



  • A/Prof Ralf Schittenhelm
  • Dr. Chris Barlow
  • Dr. Tobias Czauderna
  • Dr. Michael Wybrow

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 <>

Student cohort

Double Semester

Required knowledge

Programming skills (R or Python)
Microsoft Excel