Golden Helix’s SNP & Variation Suite (SVS) has been used by researchers around the world to do association testing and trait analysis on large cohorts of samples in both humans and other species. As samples size increase to do population-scale genomics, the analysis methods need to adapt to remain computable on your analysis workstation.  

One of the most popular methods for determining population structure in SVS is Principal Component Analysis. In this webcast, we review the fundamentals of this methodology, as well as how we have advanced the state of the art by implementing a new “Large Data PCA” capability in SVS, handling over 10 times as many samples as previously possible at a fraction of the time. Join us as we cover:  

• A review of SVS association testing and trait analysis capabilities
• Usage of Principal Component Analysis to discern population structure
• Scaling PCA beyond the limitations of computer hardware. 
• Other SVS improvements based on ongoing feedback from the user community 

SVS continues to move forward as a flexible and powerful tool to perform genotype and Large-N variant analysis. We hope you enjoy this webcast highlighting the exciting new features and select enhancements we have made.

Watch on demand

Please enjoy this webcast recording. Should you have any questions about the content covered, please reach out to our team here.