Identifying structural variants within a large-scale dataset represents an exciting opportunity to derive deeper insights into their impact on human disease. Actually performing research into population-level data can prove challenging and cumbersome.  

Join our next roundtable to learn how genomics experts are overcoming challenges related to structural variation in biobank datasets. They’ll discuss their current research projects and strategies for efficient large-scale analysis to identify insertions, deletions, duplications, translocations, and copy-number variants. They’ll also cover the tools they incorporate in their cloud-based workflows, and the importance of population reference databases.