Genomic Analysis, Visualization and Informatics Lab-space (AnVIL)

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Overview
AnVIL Awards
Project Sites
External Consultant Committee
NIH Cloud Platforms Interoperability
Genomic Data Science Community Network
AnVIL Cloud Credits Program

Funding Opportunities
AnVIL in the News
Events
Contacts
Staff
Related Content

Overview

The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) is a cloud-based genomic data sharing and analysis platform. AnVIL facilitates integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health (NIH), or by other agencies that support human genomics research. AnVIL is a component of the emerging federated data ecosystem and actively collaborates and integrates with other genomic data resources through the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles. AnVIL provides a collaborative environment and interfaces for consortia and researchers. AnVIL offers training and functionality for users that have limited computational expertise as well as sophisticated data scientist users.

Specifically, the AnVIL resource provides genomic researchers with the following key elements:

Cloud-based infrastructure and software platform
Shared analysis and computing environment
Interoperability and compliance with the emerging federated data ecosystem
Cloud services cost control
Genomic datasets, phenotypes and metadata
Data access and data security
User training and outreach
Incorporation of scientific and technology advance for storing, accessing, sharing and computing on large genomic datasets

View: A Summary of Accomplishments as of April 2022

Overview
The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) is a cloud-based genomic data sharing and analysis platform. AnVIL facilitates integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health (NIH), or by other agencies that support human genomics research. AnVIL is a component of the emerging federated data ecosystem and actively collaborates and integrates with other genomic data resources through the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles. AnVIL provides a collaborative environment and interfaces for consortia and researchers. AnVIL offers training and functionality for users that have limited computational expertise as well as sophisticated data scientist users.

Specifically, the AnVIL resource provides genomic researchers with the following key elements:

Cloud-based infrastructure and software platform

Shared analysis and computing environment

Interoperability and compliance with the emerging federated data ecosystem

Cloud services cost control

Genomic datasets, phenotypes and metadata

Data access and data security

User training and outreach

Incorporation of scientific and technology advance for storing, accessing, sharing and computing on large genomic datasets

View: A Summary of Accomplishments as of April 2022

Featured Resource

anvilproject.org

AnVIL Project Portal

AnVIL Awards

Applications were submitted in response to the NHGRI AnVIL Funding Opportunity Announcement (FOA): RFA-HG-17-011 and two awards were made.

The AnVIL Data Ecosystem - U24HG010262

Data Sciences Platform, Broad Institute: Anthony Philippakis (contact PI)
Genomics Institute, University of California Santa Cruz: Benedict Paten (PI), David Haussler (co-I)
Center for Data Intensive Science, University of Chicago: Robert Grossman (PI)
Center for Genomic Health, Yale University: Ira Hall (PI)
McDonnell Genome Institute, Washington University in St. Louis: Ira Hall (PI), Larson David (co-I)
Vanderbilt University Medical Center: Robert Carroll (PI)
Institute for Precision Cardiovascular Medicine, American Heart Association: Jennifer Hall (PI)

Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-Space (ANVIL) - U24HG010263

Department of Biology, Johns Hopkins University: Michael Schatz (contact PI), Enis Afgan (co-I), Kasper Hansen (co-I)
Department of Biomedical Engineering, Oregon Health & Sciences University: Jeremy Goecks (PI), Kyle Ellrott (co-I)
Huck Institute of the Life Sciences, Pennsylvania State University: Anton Nekrutenko (PI)
Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute: Martin Morgan (PI)
Department of Medicine, Brigham & Women’s Hospital: Vincent Carey (PI)
Institute for Implementation Science in Population Health, City University of New York: Levi Waldron (PI)

Project Sites

Anvil project sites

External Consultant Committee

The External Consultant Committee (ECC) is a non-governing entity comprising a multidisciplinary panel of experts who will assist the National Human Genome Research Institute (NHGRI) in assessing the AnVIL.

Members of the ECC are:

Karen M. Davis, M.S. (co-chair) | RTI International
Siddharth Pratap, Ph.D., M.S. (co-chair) | Meharry Medical College
Nadav Ahituv, Ph.D.: University of California, San Francisco
Cinnamon Bloss, Ph.D.: University of California, San Diego
Carol Bult, Ph.D.: Jackson Laboratory
Sean Davis, M.D., Ph.D.: University of Colorado Denver
George Hripcsak, M.D., M.S.: Columbia University
Aleksandar Milosavljevic, Ph.D. | Baylor College of Medicine
Adam Resnick, Ph.D.: Children’s Hospital of Philadelphia
Marylyn Ritchie, Ph.D.: University of Pennsylvania

NIH Cloud Platforms Interoperability

The NIH Cloud Platforms Interoperability (NCPI) effort is working to enable cross-platform authentication and authorization, data discovery and the exchange of datasets, analysis workflows and results to support the creation of a federated genomic data ecosystem. NCPI is a collaboration between NIH representatives, platform team members and researchers running cross-platform research efforts to inform and validate the interoperability approaches.

Learn more about the NIH Cloud Platform Interoperability Effort.

Genomic Data Science Community Network

The Genomic Data Science Community Network (GDSCN) is a partnership of educators and researchers at Historically Black Colleges and Universities (HBCUs), Minority Serving Institutions (MSIs), Tribal Colleges and Universities (TCUs), and Community Colleges (CCs) with members of the AnVIL team to broaden the spectrum of diverse institutions active in bioinformatics and genomic data science research.

Learn more about the Genomic Data Science Community Network.

AnVIL Cloud Credits Program

The AnVIL Cloud Credits (AC2) Program was extended with the AnVIL Cloud Credits Continued Program (AC3). Applications were accepted and awarded in early 2022 proposing research or training projects relevant to NHGRI’s mission using AnVIL for large-scale data analysis with cloud computing credits.

Funding Opportunities

Expired

RFA-HG-22-020: Limited Competition: The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) (U24 Clinical Trial Not Allowed)

RFA-HG-22-021: The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space Clinical Resource (ACR) (U24 Clinical Trial Not Allowed)

RFA-HG-17-011: The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) (U24)