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Power unprecedented speed and accuracy in precision genomics with the NVIDIA Clara™ for Genomics software suite.
Substantially reduce time to discovery and treatment identification with optimized workflows.
Transform time-consuming analysis from days to minutes to revolutionize the speed, accuracy, and throughput of genomic workflows.
Optimize the alignment, processing, and variant calling of whole genomes and exomes for both germline and somatic workflows.
The genomics market encompasses various methods that cover wide-ranging applications across drug discovery, precision medicine, population health studies, and clinical diagnostics. The landscape is diverse, and includes research institutions, healthcare facilities, sequencing diagnostic centers, national programs, pharmaceuticals, and techbios—all of which play an essential role in genomics discoveries. Faster analysis leads to quicker diagnosis, personalized treatments, and streamlined drug discovery, saving time and resources while improving patient care and enabling real-time, data-driven decisions.
Short-read sequencing generates short DNA sequences and is valued for its speed and affordability. NVIDIA® Parabricks® accelerates gold-standard secondary analysis tools, from alignment through variant calling, enabling rapid analysis of short-read sequencing data. These tools can be used with data from Element, Illumina, MGI, Singular, and Thermo Fisher.
Long-read sequencing is instrumental in identifying structural variants and can be used to assemble genomes from multiple samples, which can drive the study of genetic diversity in populations. NVIDIA Parabricks accelerates gold-standard secondary analysis tools for basecalling, alignment, and variant calling, enabling rapid analysis of long-read sequencing data. These tools can be used on data from Oxford Nanopore and PacBio long-read sequencers.
NVIDIA RAPIDS™ accelerates single-cell workflows for data processing and visualization, with a similar usability model as scverse Python libraries. cunnData provides a minimized, lightweight version of the AnnData object for the GPU, enabling rapid data manipulation and processing, which RAPIDS cuGraph and cuML libraries can then analyze downstream.
NVIDIA Parabricks includes a single-cell and spatial workflow to accelerate bottlenecks and increase accuracy. Generative AI is specifically applied to spatial analysis with VISTA-2D, a cell imaging foundation model for high-accuracy segmentation. As a deep learning algorithm based on transformers, VISTA-2D works on multiple types of cells and supports multiple datasets, modalities, and GPUs.
NVIDIA NIM™ microservices deliver a comprehensive, layered solution for AI inference, combining the power of prebuilt containers, industry-standard APIs, custom model support, domain-specific code, and optimized inference engines. Use à la carte NIM microservices to build your own workflow for custom genomic applications.
Run Google's DeepVariant optimized for GPU. Switch models for high accuracy on all major sequencers.
Generate BAM output given one or more pairs of FASTQ files, by running BWA-MEM & GATK best practices.
NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs. It is available as a public container on NVIDIA NGC™ for use on premises or on any cloud service platform or provider.
For customers who need support for Parabricks in clinical workflows, large sequencing projects, high-throughput platforms, or other workflows that require immediate assistance, NVIDIA offers NVIDIA AI Enterprise.
Compare the benefits of Parabricks with NVIDIA AI Enterprise
Four Leaders are Advancing Disease Research and Prevention
Boosting the Accuracy and Speed of Long-Read Sequencing With Pacific Biosciences.
Reducing Single-Cell and Spatial Analysis From Hours to Minutes With Translational Genomics Research Institute.
Saving Nine Years of Processing Time With NVIDIA Parabricks
NVIDIA Parabricks is a GPU-accelerated software suite for secondary genomic analysis. Parabricks is compatible with all leading sequencing instruments and supports diverse bioinformatics workflows.
Parabricks increases speed, reducests cost, and boosts accuracy for secondary genomic analysis.
Yes, Parabricks matches the results of open-source tools, so you can switch out open-source tools and get the exact same results with Parabricks. The latest benchmarks from the 4.3.1 release can be found in the table below.
Performance time in minutes. 30x whole genome sequenced for FQ2BAM, BWA-Meth, DeepVariant, and Haplotype Caller with Illumina data. 50x tumor-normal whole genome sequenced for Mutect2 with Illumina data.
Parabricks is available as a public container on NVIDIA NGC™ for use on premises or any cloud service platform or provider.
Parabricks can be run on public cloud providers, platforms and partners, and on premises.
Hardware Requirements
Software Requirements
Parabricks is supported on most NVIDIA enterprise GPUs, including A100, A6000, A40, A30, A10, L40, T4, and V100 Tensor Core GPUs.
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