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, Thermo Fisher, and Ultima sequencers.
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.
RAPIDS is a suite of open-source libraries that can speed up end-to-end data science workflows through the power of GPU acceleration. RAPIDS makes it possible to perform interactive data analysis on large datasets using Python APIs.
NVIDIA Parabricks is available as a set of containers and pretrained models on NVIDIA NGC™ and DGX™ Cloud. Purchase of NVIDIA AI Enterprise comes with full access to enterprise support, including guaranteed response times, priority security notifications, and access to Parabricks experts.
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