Scaling Genomics with High Throughput and AI-Driven Variant Calling
Whole genome sequencing is rapidly evolving, but accurate variant detection—especially in complex genomic regions—remains a major challenge.
In this webinar, we will explore how pangenome-informed, AI-driven variant calling using Google DeepVariant enables more accurate and comprehensive detection of genomic variants with DNBSEQ-T7+. We will also highlight how DNBSEQ-T7+ delivers higher accuracy compared to other leading platforms.
By combining deep learning models with pangenome graph-based alignment, this approach significantly improves variant-calling performance in challenging regions such as homopolymers, segmental duplications, and structurally complex loci.
