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Description
Efficiently merge the multiomic information of patients with their health records to provide more tailored care solutions. Implement specialized data repositories to facilitate extensive analyses and foster collaborative research initiatives on a population-wide scale. Expedite research processes by leveraging adaptable workflows and comprehensive computational tools. Ensure the safeguarding of patient privacy through adherence to HIPAA standards, complete with robust data access and logging mechanisms. AWS HealthOmics empowers healthcare and life science organizations, along with their software collaborators, to securely store, retrieve, and analyze diverse omics data, such as genomic and transcriptomic information, ultimately yielding valuable insights that enhance health outcomes and propel scientific advancements. Manage and evaluate omics data for extensive patient cohorts to discern how variations in omics relate to phenotypic expressions within the population. Develop consistent and accountable clinical multiomics workflows designed to minimize turnaround times while boosting efficiency. Seamlessly incorporate multiomic assessments into clinical trials aimed at evaluating new therapeutic candidates, thereby enhancing the overall drug development process. By harnessing these innovative approaches, organizations can ensure a deeper understanding of patient health and contribute to groundbreaking research findings.
Description
NVIDIA® Parabricks® stands out as the sole suite of genomic analysis applications that harnesses GPU acceleration to provide rapid and precise genome and exome analysis for various stakeholders, including sequencing centers, clinical teams, genomics researchers, and developers of high-throughput sequencing instruments. This innovative platform offers GPU-optimized versions of commonly utilized tools by computational biologists and bioinformaticians, leading to notably improved runtimes, enhanced workflow scalability, and reduced computing expenses. Spanning from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks significantly boosts performance across diverse hardware setups featuring NVIDIA A100 Tensor Core GPUs. Researchers in genomics can benefit from accelerated processing throughout their entire analysis workflows, which includes stages such as alignment, sorting, and variant calling. With the deployment of additional GPUs, users can observe nearly linear scaling in computational speed when compared to traditional CPU-only systems, achieving acceleration rates of up to 107X. This remarkable efficiency makes NVIDIA Parabricks an essential tool for anyone involved in genomic analysis.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
AWS AI Services
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
Integrations
Amazon Web Services (AWS)
AWS AI Services
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/healthomics/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/clara/genomics/