Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck.
Parabricks has accelerated secondary analysis of sequencing data to analyze a 30x whole genome from days to ONE hour. Using GPUs, Parabrick’s accelerated workflow with superior visualizations can finish alignment, pre-processing and variant calling—a process that can easily take up to 30 hours on 32 vCPU servers—at trailblazing speeds. Gain an in-depth understanding of how GPUs can be used for accelerating industry standard algorithms used in BWA-Mem, GATK4 such as Smith-Waterman, PairHMM and deep learning technologies used in variant calling.
By attending this webinar, attendees will:
- Develop an understanding of the compute intensive nature of genomic analysis;
- Learn about accelerating dynamic programming on GPUs, including deep learning on genomic data using DeepVariant; and
- Explore options for large computing power for genomic analysis, including the DGX-1, as well as GPUs on-premise and on the cloud.