With its potential to revolutionize diagnosis, treatment, and outcomes for patients across multiple clinical indications, demand for next-generation sequencing (NGS) is increasing rapidly. But interpreting sequenced data – complex, lengthy, and costly – presents a bottleneck to widespread routine clinical adoption. To compound the problem, the interpretation of genetic results often still relies heavily on labor-intensive processes that only highly trained clinical scientists can offer.
