DNAnexus provides a secure cloud based platform for the analysis, storage and sharing of many different types of genomic data. CCR has recently established a Pilot program to enable CCR researchers to use this powerful tool to process their own NGS data. The platform includes workflows for; RNA-Seq, DNA-Seq, ChIP-Seq etc.
This talk is the first in a three-part series, designed to introduce CCR scientists and bioinformaticists to this powerful resource.
The main goal of this presentation will be to provide an overview of the DNAnexus platform and to set the stage for the follow-on workshops to be held later in the week. This talk will:
- Describe the current Pilot program
- Explain how to get access to and make use of the platform
- Highlight key resources available within DNAnexus
- Highlight CCR support resources for getting the most out of this platform
- Demo select feature of the platform, to illustrate its utility to CCR resarchers.
The first of the follow-up sessions will be aimed at Biologists who wish to make use of DNAnexus for analyzing their own data. The second will be targeted towards bioinformaticists and developers who wish to use this platform to process and share data and/or results, as well as to develop and disseminate new tools.
Details and registration for the follow-up talks can be found here:
More about DNAnexus
A point-and-click web environment provides ready access to powerful tools for the analysis, integration and sharing of complex data. Additionally, experienced researchers and bioinformaticians can interact with the platform through a command-line interface, which allows for quick integration with current system, and the automated processing of large data sets. Beyond its extensive library of integrated tools and pipelines, the DNAnexus platform also allows the quick and efficient development of new analysis tools and the porting of existing pipelines. DNAnexus is built upon the foundational security and features of AWS and AZURE.
Key Features of DNAnexus:
- Centralized online environment for genomic data analysis, storage and collaboration
- Web-based interface for ease of use
- Command line interface for power-users
- Large library of standard bioinformatic tools and pipelines
- Scalable infrastructure that can instantly meet any computational and data storage demand
- Data compliance in accordance with: HIPAA, CLIA, GCP, 21 CFR parts 11, 58, and 493, European Data Privacy laws and regulations
While attending in person is highly recommended this Workshop will be available via Webex for those not on the NIH campus..
Meeting number (access code): 739 435 126
Meeting password: dWmxnp@9
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1-650-479-3207 Call-in toll number (US/Canada)