AnVIL

AnVIL provides a secure, cloud-based environment for storing, accessing, and analyzing genomic data to enable large-scale collaborative biomedical research.


Key Features:

  • Unified cloud computing environment: Hosts genomic data and compute resources in a centralized cloud environment to eliminate large dataset downloads and reduce data movement.
  • Direct data access: Enables researchers to access datasets in-place in the cloud without requiring physical transfer of data.
  • Security and monitoring: Implements active threat detection and monitoring to support analysis of protected and controlled-access genomic data.
  • Scalable shared compute: Provides dynamically allocatable, shared computational resources to accommodate varying analysis demands.
  • Centralized storage and management: Centralizes data storage and management alongside analytical capabilities within the cloud environment.
  • Collaboration and data sharing: Supports controlled data sharing and collaborative analyses among researchers.
  • Resource efficiency: Reduces redundant local compute infrastructures and associated costs by consolidating compute and storage.

Scientific Applications:

  • Large-scale genomic analysis: Enables analysis of large genomic datasets that are impractical to download and analyze locally.
  • Multi-institutional studies: Facilitates collaborative, multi-institution research by co-locating data and compute.
  • Secure analysis of protected data: Supports compliant, monitored analysis workflows for controlled-access genomic datasets.

Methodology:

Hosts genomic data and compute in a secure cloud environment, provides in-place data access without physical transfer, implements active threat detection and monitoring, offers dynamic allocation of shared computational resources, and centralizes data storage, management, and analysis.

Topics

Details

Tool Type:
workflow
Added:
6/14/2021
Last Updated:
8/13/2021

Operations

Publications

Schatz MC, Philippakis AA, Afgan E, Banks E, Carey VJ, Carroll RJ, Culotti A, Ellrott K, Goecks J, Grossman RL, Hall IM, Hansen KD, Lawson J, Leek JT, O’Donnell Luria A, Mosher S, Morgan M, Nekrutenko A, O’Connor BD, Osborn K, Paten B, Patterson C, Tan FJ, Taylor CO, Vessio J, Waldron L, Wang T, Wuichet K, Team A. Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL). Unknown Journal. 2021. doi:10.1101/2021.04.22.436044.

Documentation

Links