This article discusses how integrating different omics data types — such as DNA sequencing, transcriptomics and metabolomics — can provide a rich view of healthy and disease states, including novel clinical diagnoses. The authors discuss the value of the different data types, as well as strategies, considerations and challenges for multi-omic integration in various disease contexts.
- Konrad J. Karczewski
- Michael P. Snyder
