A single grain of sand ... is like a single mass spectrum. We drive discovery from repository scale data.
Our team is working on fundamental improvements for mass spectral data analysis in
- clustering
- annotation
- networking
- annotation propagation
... to boost interpretability and improve the insights we can gain from our 'bucket of sand'.
We are diving into the mass spectra of foods to continue to build out the Global FoodOmics dataset, gain insights into diet, explore food characteristics based on spectral relatedness between ingredients, and further develop spectral annotation by origin with reference data-driven (RDD) metabolomics.
