Life is complex and results from interactions between different classes of biomolecules including metabolites, lipids, proteins, glycans and nucleic acids. Much research has focused on particular biomolecular classes in isolation. Such studies restrict their scope of success and yield limited understanding of complex living systems. Because biomarkers are found in all classes of biomolecules, a holistic multiomics analytical approach enhances our ability to develop reliable diagnostic, prognostic, predictive and therapeutic tools. Indeed, the desired information may only be discernable from a combinatorial omics approach. ProtiFi developed solutions to these problems.
The multiomics data acquired is analyzed by SimpliFi, our intuitive data-to-meaning omics data analysis engine which accepts anything with a ChEBI or UniProt identifier. SimpliFi handles the massive quantity of multiomics data by running in the cloud using scalable GPU algorithms that make no assumptions about the data.