Audience
Organizations looking for an AI-based tool for analysis of high-throughput DNA and RNA sequencing data
About NVIDIA Parabricks
NVIDIA® Parabricks® is the only GPU-accelerated suite of genomic analysis applications that delivers fast and accurate analysis of genomes and exomes for sequencing centers, clinical teams, genomics researchers, and high-throughput sequencing instrument developers. 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. From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute time is observed compared to CPU-only systems, allowing up to 107X acceleration.
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Illumina DRAGEN Secondary Analysis
The Illumina DRAGEN Secondary Analysis provides accurate, comprehensive, and efficient analysis of next-generation sequencing data. Graph reference genome and machine learning driving unprecedented accuracy. Provides ultra-efficient workflow; can fully process a 34x whole human genome in ~30 minutes with DRAGEN server v4. Furthers ultra-efficient workflow by reducing FASTQ file sizes up to 5×. Analyzes next-generation sequencing (NGS) data from whole genomes, exomes, methylomes, and transcriptomes. Available on platform of choice and scalable based on needs. DRAGEN analysis leads in accuracy for germline and somatic variant calling demonstrated in industry challenges from precisionFDA. DRAGEN analysis enables labs of all sizes and disciplines to do more with their genomic data. DRAGEN analysis uses highly reconfigurable field-programmable gate array technology (FPGA) to provide hardware-accelerated implementations of genomic analysis algorithms.
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NVIDIA Clara
Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices.
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Geneyx
Geneyx Analysis is a comprehensive solution for next-generation sequencing (NGS) data that can scale the process of FASTQ to clinical reports for hospital and commercial labs. This advanced platform integrates machine learning and AI-based features to identify novel biomedical insights, while also improving diagnostic yields and turnaround times. By providing a fully transparent and intuitive solution, Geneyx Analysis enables clinicians and researchers to have complete control over data analysis and alleviates the complexities of regulating in-house bioinformatics pipelines. Protocols can be fully customized to accommodate gene panels, exomes, and genomes, and our comprehensive annotation engine supports the analysis of all genetic variants including structural and copy number variations as well as regulatory elements. Together, Geneyx Analysis automates the diagnostic process from sequencer to report, while creating a comprehensive resource for novel variant discovery.
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Evo 2
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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Company Information
NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/clara/genomics/
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