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

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; ) 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. ### Competing Interest Statement A. Philippakis is a Venture Partner at GV and has received funding from Intel, IBM, Microsoft, Alphabet, and Bayer. D. Baker, E. Afgan, J. Goecks, J.Chilton, and A. Nekrutenko are founders of and hold equity in GalaxyWorks, LLC. The results of the study discussed in this publication could affect the value of GalaxyWorks, LLC. These arrangements have been reviewed and approved by the Johns Hopkins University, Oregon Health & Science University, and The Pennsylvania State University in accordance with their respective conflict of interest policies. V. Carrey has financial interest in Amazon, NVIDIA, and AMD.