Project Goal

To advance tools in analytical chemistry and bioinformatics to generate improved metabolomic data. These tools are used to understand which parts of larger biochemical networks respond to genetic perturbation or environmental strain.

The Challenges

• Compound identification, to be able to correctly identify all the compounds generated by LC-MS/MS
• Harmonisation of data structure, and validation of quantitative and qualitative measurement of metabolites in the metabolomics field, world-wide
• Interpretation of big data sets

The Solution

• Using a selection of powerful LC-MS/MS systems to develop tools and databases freely available to the scientific community for database integrations, genomic data integration, data visualizations, and software for data processing and compound identification.

The Outcomes

• 15 tools and databases developed to be used for data processing from state of the art LC-MS/MS systems
• Identification of biomarkers for early diagnostics of severe diseases such as diabetes and lung cancer