Webinar: GPU-Accelerated Analysis of DNA Sequencing Data

Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck.

Join Mehrzad Samadi, CEO of Parabricks on Thursday, March 1, 2018, from 11am-12pm PST as he discusses the use of GPU-acceleration to speed the analysis of DNA sequencing data.

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.

Register now >

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter
  • Jianxin Wang

    How can we do a test run of GATK using GPUs? Is there any GPU enabled version of GATK?