Next-generation sequencing is expected to take molecular diagnostics to the next level with the capability to perform deep analysis of genetic information that leads to targeted therapies perfectly matched to the situation. However, adoption of this technology in the clinic has been slower than expected due to various factors including ease-of-use, expense, footprint, and data complexity.  Today many of these hurdles have been overcome as NGS workflows have become increasingly automated, smaller, and less expensive.  For many in the clinic, the key to making this technology more accessible is automated bioinformatics that supports clinical decision-making.

In this presentation we will delve into the sequencing world from the perspective of the variant.  We’ll uncover how today’s sophisticated bioinformatics engines can take raw sequencing data and transform the results into accurate and actionable reports that point to therapies and clinical trials.  We will explore this concept for clinical oncology and clinical virology and show how software today automates the process from sample-to -answer.