terraCUDA

Files

Citation

Stanton, Eliot, Starczewski, Natalie, and Wagner, Lauren, “terraCUDA,” Scholar@Simmons, accessed August 12, 2020, https://beatleyweb.simmons.edu/scholar/items/show/481.

Title

terraCUDA

Creator

Stanton, Eliot
Starczewski, Natalie
Wagner, Lauren

Date

2020

Description

The AnVIL/Terra platform has enormous potential to democratize access to genomic data; however, it is underutilized due to usability issues that we hope to address. AnVIL is an online lab space for the analysis and visualization of large genomic-related data sets. Researchers can use AnVIL by accessing and analyzing data through the cloud. This significantly increases the accessibility for researchers since they don’t need the infrastructure in place to run these analytic tools, and accessing these resources is much cheaper through AnVIL/Terra. This platform is lacking crucial functionality for anyone without expert understanding of the API and significant technical skill. We hope to bridge the gap between the researchers and the computing power of AnVIL/Terra by creating a package of functions in R that researchers can easily use. Our package currently supports searching through workspaces for relevant data and performing quality analyses of the data. As the semester continues, we will extend our package’s functionality to include extensive exploratory data analysis, filtering, and synthetic cohort creation (combining related data that was not previously connected). Our package will allow researchers to easily find and understand data that can then be processed through pre-existing AnVIL workflows. The package, called terraCUDA, will be available to the public through GitHub, and it is in part funded by the Google Cloud Platform Education Grants Program.

Video available upon request.

Subject

Data Science; Cloud Computing; Genomics; AnVIL/Terra

Publisher

Simmons University (Boston, Mass.)

Rights

Material from the Simmons University Archives collections are made available for study purposes only. For more information, or to request rights to reproduce or reuse any material, contact the the Simmons University Archives at archives@simmons.edu.

Format

mp4 video

Language

English

Type

Undergraduate Symposium
Project Discipline: Data Science