• SKIP TO CONTENT
  • SKIP NAVIGATION
  • Patient Resources
    • Clinical Trial Listings
    • What are Clinical Trials?
    • Become a Clinical Trial Volunteer
    • Useful Resources
    • FDA Approved Drugs
  • Professional Resources
    • Research Center Profiles
    • Market Research
    • Benchmark Reports
    • FDA Approved Drugs
    • Training Guides
    • Books
    • eLearning
    • Events
    • Newsletters
    • White Papers
    • SOPs
  • White Papers
  • Clinical Trial Listings
  • Advertise
  • Sign In
  • Create Account
  • Sign Out
  • My Account
Home » CDC, Edico Genome partner on DRAGEN Hardware Platform

CDC, Edico Genome partner on DRAGEN Hardware Platform

October 12, 2015
CenterWatch Staff

The Centers for Disease Control and Prevention, through the National Center for Emerging and Zoonotic Infectious Diseases, Office of Advanced Molecular Detection (OAMD), and Edico Genome have entered into a research collaboration to evaluate the performance of Edico Genome's DRAGEN hardware platform. The goal of this research collaboration is to evaluate the utility of the Edico Genome DRAGEN platform for public health and infectious disease applications. This collaboration also will focus on co-developing the databases, configurations and parameters to optimize the hardware platform for microbial applications.

With the advent of next-generation sequencing (NGS) and other high-throughput laboratory technologies, there is an increasing need for robust high-performance computing and bioinformatics capacity. CDC's OAMD currently is responsible for the CDC High Performance Computing Center of Excellence, which includes multiple Linux clusters, virtualization capacity and supports CDC laboratories and the broader public health user community for scientific computing and technical sequencing requirements.

Edico Genome recently announced the availability of DRAGEN, a custom coprocessor platform that uses field-programmable gate array (FPGA) to provide hardware-accelerated analysis of genomic sequence data. While this technology has primarily been applied to the analysis of human genomes to date, it has the potential to replace or supplement large computational clusters and/or cloud services that are currently used for microbial genomic and metagenomic analysis, resulting in faster, more actionable time-to-answer and cost savings.

    Upcoming Events

    • 05Dec

      Thriving in Clinical Research – Overcoming Common Challenges as a Site: Part 3 – Site Resourcing

    • 14Apr

      MAGI 2024: The Clinical Research Conference

    Featured Products

    • Surviving an FDA GCP Inspection

      Surviving an FDA GCP Inspection: Resources for Investigators, Sponsors, CROs and IRBs

    • Best Practices for Clinical Trial Site Management

      Best Practices for Clinical Trial Site Management

    Featured Stories

    • Jonathan Seltzer

      Thought Leadership: Remote Patient Monitoring Gives New View of Safety in Cardiac Clinical Trials

    • Quality_Compass-360x240.png

      Ask the Experts: Applying Quality by Design to Protocols

    • Obesity Treatment Patient

      Clinical Trials Need Greater Representation of Obese Patients, Experts Say

    • Modernize-360x240.png

      FDA IT Modernization Plan Prioritizes Data-Sharing, AI, Collaboration and More

    Standard Operating Procedures for Risk-Based Monitoring of Clinical Trials

    The information you need to adapt your monitoring plan to changing times.

    Learn More Here
    • About Us
    • Contact Us
    • Privacy Policy
    • Do Not Sell or Share My Data

    Footer Logo

    300 N. Washington St., Suite 200, Falls Church, VA 22046, USA

    Phone 703.538.7600 – Toll free 888.838.5578

    Copyright © 2023. All Rights Reserved. Design, CMS, Hosting & Web Development :: ePublishing