Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Government Events and Resources

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Google

Novel, Cloud-Based Analyses of NIH All of Us and NHGRI AnVIL genomic data, with support from the NIH STRIDES Initiative


Event Date: October 26, 2022
Hosted By: Google Cloud, NIH STRIDES, & Carahsoft
The Terra platform has the power to transform your research with scalable and flexible workflows. During this webinar, we had speakers from the NIH All of Us Research Program investigator whose team used data from the NHGRI AnVIL (Genomic Data Science Analysis, Visualization, and Informatics Lab-space) with Terra to expand their research.

The NIH's All of Us Research Program is creating one of the largest, most diverse biomedical datasets accessible through the All of Us Researcher Workbench, a secure, Google cloud-based platform where researchers can access a wide variety of data from 370,000+ program participants.

Topics covered in this webinar included: 
  • Overview of the All of Us Research Program 
  • Overview of the Public Data Browser and Researcher Workbench for conducting research projects
  • Information on how Fitbit and electronic health record (EHR) data be leveraged to answer research questions on the Researcher Workbench

The NHGRI AnVIL provides a cloud environment for the analysis of large genomic and related datasets. Using Terra, AnVIL, and the massively scalable resources within Google Cloud Platform, the team at Johns Hopkins University and their collaborators were able to complete a gap-free human genome sequence of CHM13 cell line in a few days rather than several months as it would have required outside the Google Cloud environment.

Topics covered in this webinar included:
  • The process for assembling the first complete telomere-to-telomere (T2T) genome
  • How the T2T CHM13 cell line genome compares to the GRCh38 reference genome
  • How the T2T CHM13 cell line improves variation analysis of globally diverse populations, including within clinically relevant genes
  • How the AnVIL was used to accelerate this analysis

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Resources

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