Data Generation
Phenotypes drive insights
Powerful genetic studies require phenotyping data that goes both deep and broad, covering multiple therapeutic areas. When combined with paired multi-omic data from the same individuals, new discovery potential is unlocked.
Deep Phenotyping
Our comprehensive phenotyping approach is globally deployable and focuses on disease-relevant quantitative traits. It includes full biochemistry analysis, immune profiling, non-invasive measurements from cutting-edge portable devices, whole-body anthropometrics, and extensive health questionnaires. Detailed study protocols ensure that data generated across studies are consistent.
Paired Multi-omics
Whole genome sequencing (WGS) data is generated from each participant alongside paired transcriptome, proteome, and metabolome data from urine and blood-based samples. Our innovative mid-pass WGS approach enables the generation of high quality genetic data at a fraction of the cost. We use the same gold-standard platforms as large scale biobanks, including Illumina, Olink, and Metabolon.
Quality Structured Data
Successful human subjects research requires high quality data that are structured and harmonized. We carry out extensive quality control of all data generated and organize it into a schema with strict definitions. This enables loading into a relational database with millions of data points that is queryable and seamlessly integrates into downstream analysis workflows.