Key takeaways
- Understand the fundamentals of analyzing SBX-D data, including visualization with the Integrative Genomics Viewer (IGV)
- Explore the model behind the SBX-optimized open-source (XOOS) small-variant caller and its performance
- Walkthrough Google Genomics’ DeepVariant small-variant caller for SBX-D and its performance
Sequencing by expansion duplex data analysis
Join our first ever in-depth exploration of SBX duplex (SBX-D) data and whole-genome germline small variant calling.
In this exclusive webinar, experts will walk you through the underlying algorithms used to generate SBX-D consensus reads. You’ll also gain detailed intel into the resulting read characteristics and the calculation of key metrics, such as accuracy and coverage.
Expand your knowledge–and soon, your science–just in time for the release of a publicly available whole genome sequencing (WGS) genome in a bottle (GIAB) SBX-D data set.
Meet the experts who will expand your knowledge of SBX-D
Jaedon Scott
Sr. International Product Manager
Roche Diagnostics Solutions
Mahdi Golkaram, PhD
Director of Bioinformatics, SBX algorithm development
Roche Diagnostics Solutions
John Mannion
Head of Computational Science, Molecular Labs Systems
Roche Diagnostics Solutions
Andrew Carroll
Product Lead
Google Genomics, DeepVariant
Chen Zhao
VP, Computational Biology Molecular Lab Applications
Roche Diagnostics Solutions