Ensemble

Offentlig prosjektsammendrag

Multiomics has rapidly grown in recent years to generate a wholistic image of a biological state by combining data sets from genomics, epigenomics, transcriptomics, proteomics, lipidomics and metabolomics, for a deeper understanding of the biology in health and diseases. However, there are still challenges that need to be over-come to facilitate the adaptation of multiomics. Heterogeneity and limited amount of the sample pose a problem of reproducibility and sensitivity. Lack of standardization of the sample preparation process also leads to variability, which makes the analysis of the combined omics data difficult and susceptible to errors. To address this gap, we will develop new bead-based workflows to provide integrated end-to-end multiomics solutions paired with downstream analysis methods and automation to promote standardization. We believe this will not only greatly lower the end-user barrier for multiomics adaptation, but also secure our position as the go-to bead provider.