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

2022; Elsevier BV; Volume: 2; Issue: 1 Linguagem: Inglês

10.1016/j.xgen.2021.100085

2666-979X

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 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, Anton Kovalsy, C. Bernard, Derek Caetano-Anollés, Géraldine A. Van der Auwera, Justin Canas, K. Ümit Yüksel, Kate Herman, Megan Taylor, Marianie Simeon, Michaël Baumann, Qi Wang, Robert Title, Ruchi Munshi, Sushma Chaluvadi, Valerie B Reeves, William Disman, Salin Thomas, Allie Hajian, Elizabeth Kiernan, Namrata Gupta, Trish Vosburg, Ludwig Geistlinger, Marcel Ramos, Sehyun Oh, Dave Rogers, Frances McDade, Mim Hastie, Nitesh Turaga, Alexander Ostrovsky, Alexandru Mahmoud, Dannon Baker, Dave Clements, Katherine E.L. Cox, Keith Suderman, Nataliya Kucher, Sergey Golitsynskiy, Samantha Zarate, Sarah J. Wheelan, Kai Kammers, Ana Stevens, Carolyn M. Hutter, Christopher Wellington, Elena M. Ghanaim, Ken Wiley, Shurjo K. Sen, Valentina Di Francesco, Deni s Yuen, Brian Walsh, Luke Sargent, Vahid Jalili, John Chilton, Lori Shepherd, Benjamin J. Stubbs, Ash O’Farrell, Benton A. Vizzier, Charles Overbeck, Charles Reid, David Steinberg, Elizabeth A. Sheets, Julian Lucas, Lon Blauvelt, Louise Cabansay, Noah Warren, Brian Hannafious, Tim Harris, Radhika Reddy, Eric S. Torstenson, M. Katie Banasiewicz, Haley Abel, Jason Walker,

Genomics and Phylogenetic Studies

The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL; https://anvilproject.org) was developed to address a widespread community need for a unified computing environment for genomics data storage, management, and analysis. In this perspective, we present AnVIL, describe its ecosystem and interoperability with other platforms, and highlight how this platform and associated initiatives contribute to improved genomic data sharing efforts. The AnVIL is a federated cloud platform designed to manage and store genomics and related data, enable population-scale analysis, and facilitate collaboration through the sharing of data, code, and analysis results. By inverting the traditional model of data sharing, the AnVIL eliminates the need for data movement while also adding security measures for active threat detection and monitoring and provides scalable, shared computing resources for any researcher. We describe the core data management and analysis components of the AnVIL, which currently consists of Terra, Gen3, Galaxy, RStudio/Bioconductor, Dockstore, and Jupyter, and describe several flagship genomics datasets available within the AnVIL. We continue to extend and innovate the AnVIL ecosystem by implementing new capabilities, including mechanisms for interoperability and responsible data sharing, while streamlining access management. The AnVIL opens many new opportunities for analysis, collaboration, and data sharing that are needed to drive research and to make discoveries through the joint analysis of hundreds of thousands to millions of genomes along with associated clinical and molecular data types.