Implementing Molecular Sample Tracking in Genomic Analysis Workflows: A Case Study
This webinar shares details of how the Human Genome Sequencing Center (HGSC) at Baylor College of Medicine implemented a sample identity assay as part of its next-generation sequencing (NGS) workflow.
The importance of ensuring sample integrity and quality from sample acquisition to final data analysis and delivery is a shared concern among researchers involved in clinical and translational research — particularly with complex, multiphase studies.
The HGSC generates data to support numerous research programs that require rapid delivery of high-quality sequencing data. To ensure end-to-end sample and data integrity, the HGSC has implemented the Fluidigm SNP Trace assay to confirm sample identity in its workflow.
In this webinar, Jianhong Hu describes the HGSC’s high-throughput sequencing and reporting pipeline and discuss how the center has integrated sample identification into its overarching workflow. Luke Stewart, Senior Manager of Field Applications at Fluidigm, concludes the discussion with information on new advancements in sample identification offered by Fluidigm.