Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)

Michael C. Schatz; Anthony Philippakis; Enis Afgan; Eric Banks; Vincent J. Carey; Robert J. Carroll; Alessandro Culotti; Kyle Ellrott; Jeremy Goecks; Robert L. Grossman; Ira M. Hall; Kasper D. Hansen; Jonathan Lawson; Jeffrey T. Leek; Anne O’Donnell‐Luria; Stephen Mosher; Martin T. Morgan; Anton Nekrutenko; Brian D. O’Connor; Kevin Osborn; Benedict Paten; Candace Patterson; Frederick J. Tan; Casey Overby Taylor; Jennifer Vessio; Levi Waldron; Ting Wang; Kristin Wuichet; Alexander Baumann; Andrew Rula

doi:10.1016/j.xgen.2021.100085

BioinformaticsCell GenomicsJan 1, 2022

Peer-reviewed journal article

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)

Michael C. Schatz iD, Anthony Philippakis iD, Enis Afgan iD, Eric Banks iD, Vincent J. Carey iD, Robert J. Carroll iD, Alessandro Culotti iD, Kyle Ellrott iD, Jeremy Goecks iD, Robert L. Grossman iD, Ira M. Hall iD, Kasper D. Hansen iD, Jonathan Lawson iD, Jeffrey T. Leek iD, Anne O’Donnell‐Luria iD, Stephen Mosher iD, Martin T. Morgan iD, Anton Nekrutenko iD, Brian D. O’Connor iD, Kevin Osborn, Benedict Paten iD, Candace Patterson iD, Frederick J. Tan, Casey Overby Taylor iD, Jennifer Vessio, , Jason Walker iD

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Abstract

The traditional model of genomic data analysis - downloading data from centralized warehouses for analysis with local computing resources - is increasingly unsustainable. Not only are transfers slow and cost prohibitive, but this approach also leads to redundant and siloed compute infrastructure that makes it difficult to ensure security and compliance of protected data. The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL; https://anvilproject.org) inverts this model, providing a unified cloud computing environment for data storage, management, and analysis. AnVIL eliminates the need for data movement, allows for active threat detection and monitoring, and provides scalable, shared computing resources that can be acquired by researchers as needed. This presents many new opportunities for collaboration and data sharing that will ultimately lead to scientific discoveries at scales not previously possible.