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    DRAGEN Complete Suite

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    Deployed on AWS
    Free Trial
    The DRAGEN Complete Suite enables ultra-rapid analysis of Next Generation Sequencing (NGS) data for large data sets, such as whole genomes, exomes, and genes/panels.

    Overview

    The DRAGEN Complete Suite* enables ultra-rapid analysis of Next Generation Sequencing (NGS) data for large data sets, such as whole genomes, exomes, and genes/panels. This application uses the DRAGEN Platform and includes highly-optimized algorithms for mapping, aligning, sorting, duplicate marking, and haplotype variant calling. The DRAGEN CS includes a host of pipelines including our DRAGEN Germline Pipeline, DRAGEN Somatic Pipeline (T and T/N), DRAGEN Copy Number Variant (CNV) Pipeline, DRAGEN RNA Gene Fusion, DRAGEN Joint Genotyping Pipeline, and GATK Best Practices. The DRAGEN Germline and Somatic pipelines have greatly improved accuracy in calling SNPs and Indels compared to industry standard. This app also supports Illumina NovaSeq BCL conversion, download/upload of data streaming, and compressed reference hash tables for a more seamless and efficient workflow.

    Note: DRAGEN license metering is on an hourly basis.

    Highlights

    • Ultra-Rapid
    • Highest Accuracy
    • Lowest Cost

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel Version 8

    Deployed on AWS

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    Pricing

    Free trial

    Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    DRAGEN Complete Suite

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (5)

     Info
    Dimension
    Cost/hour
    f2.6xlarge
    Recommended
    $30.00
    f1.16xlarge
    $22.10
    f1.2xlarge
    $10.35
    f1.4xlarge
    $15.10
    f2.12xlarge
    $45.00

    Vendor refund policy

    No refunds.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Please refer to the link in the usage instructions for detailed release notes. Please note that this is an el8 based AMI. The username for this AMI is ec2-user.

    The HG002 35x whole genome germline analysis, including MA, SNVs, CNVs, SVs, STRs, and PGx with all targeted callers, roughly completes in 2 hours 8 minutes on f1.4xl, 1 hours 4 minutes on f2.6xl, and 41 minutes on f2.12xl instances.

    F2 instances are available in: us-east-1, us-west-2, eu-west-2, ap-southeast-2 F1 instances are available in: us-east-1, us-west-2, eu-west-1, eu-central-1, ap-southeast-2

    Additional details

    Usage instructions

    On how set up your AMI and get started with our DRAGEN app, follow these steps: Step 1) DRAGEN Getting Started Guide:https://help.dragen.illumina.com/reference/dragen-multi-cloud/dragen-on-aws  Step 2) DRAGEN User Guide: https://help.dragen.illumina.com/product-guides/dragen-v4.4 . The Release notes for this version is available at https://www.illumina.com/content/dam/illumina-support/documents/downloads/software/dragen/release-notes/200068065_00_DRAGEN-4_4_4-Customer-Release-Notes.pdf  *Note: The application requires access to the INTERNET in order to automatically go to https://license.dragen.illumina.com  for license validation.

    Resources

    Vendor resources

    Support

    Vendor support

    Technical support for the DRAGEN product. techsupport@illumina.com  techsupport@illumina.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Healthcare & Life Sciences
    Top
    50
    In High Performance Computing
    Top
    10
    In Data Analytics, High Performance Computing, Healthcare & Life Sciences

    Overview

     Info
    AI generated from product descriptions
    Genomic Data Processing
    Ultra-rapid analysis of Next Generation Sequencing (NGS) data using highly-optimized mapping, aligning, sorting, and variant calling algorithms
    Variant Detection Pipelines
    Comprehensive suite of pipelines including Germline, Somatic, Copy Number Variant (CNV), RNA Gene Fusion, and Joint Genotyping
    Sequencing Data Compatibility
    Supports multiple sequencing data types including whole genomes, exomes, genes, and gene panels
    Variant Calling Performance
    Improved accuracy in calling Single Nucleotide Polymorphisms (SNPs) and Insertions/Deletions (Indels) compared to industry standards
    Data Management Capabilities
    Supports Illumina NovaSeq BCL conversion, data streaming, and compressed reference hash tables for efficient workflow processing
    Cloud Infrastructure
    Secure and scalable cloud platform designed specifically for scientific data processing and genomic research
    Data Management
    Multi-modal and multi-omic data management system with robust storage and organization capabilities
    Collaboration Tools
    Flexible project-based collaboration environment with seamless team interaction and data sharing mechanisms
    Data Analysis Capabilities
    Advanced tools for data visualization and comprehensive cohort analysis with efficient exploration features
    Security Framework
    Industry-leading security infrastructure with comprehensive compliance and quality assurance protocols
    Pipeline Orchestration
    Unified control plane for developing, testing, and deploying data pipelines across distributed computing resources
    Cloud Infrastructure Support
    Native integration with AWS Batch and Amazon EKS for running data pipeline workloads
    Workflow Management
    Comprehensive tracking and logging of pipeline execution with browser and API accessibility
    Access Control
    Role-based user management and authentication for secure collaboration across organizations
    Data Security
    Industry-leading security and compliance mechanisms for protecting sensitive organizational data

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    3.5
    2 ratings
    5 star
    4 star
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    1 star
    50%
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    2 AWS reviews
    Benedikt

    Needs more documentation

    Reviewed on Feb 21, 2025
    Review from a verified AWS customer

    The documentation dates back to November 2017 and is still labeled "Edico," making it nearly seven years old. This outdated documentation results in a lot of trial and error, which is especially problematic because the billing interval is greedily charged by the hour rather than by the minute.

    Despite these initial challenges, once you navigate past the documentation issues, everything works.

    Kenny

    Great Job !

    Reviewed on Jun 01, 2018
    Review from a verified AWS customer

    This product is super optimized and delivers results before expected time. Its a great to in hand with the price range and capabilities.

    View all reviews