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The NHGRI Genomic Data Science Analysis, Visualization and Informatics Lab-space (AnVIL)

Overview

The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) is a scalable and interoperable resource for the genomic scientific community, that leverages a cloud-based infrastructure for democratizing genomic data access, sharing and computing across large genomic, and genomic-related data sets.

The 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. In addition, the AnVIL is a component of the emerging federated data ecosystem and is expected to collaborate and integrate with other genomic data resources through the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles, as their specifications emerge from the scientific community. The AnVIL provides a collaborative environment, where datasets and analysis workflows can be shared within a consortium and be prepared for public release to the broad scientific community through AnVIL user interfaces. The AnVIL will be tailored for users that have limited computational expertise as well as sophisticated data scientist users.

Specifically, the AnVIL resource will provide 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
  • Overview

    The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) is a scalable and interoperable resource for the genomic scientific community, that leverages a cloud-based infrastructure for democratizing genomic data access, sharing and computing across large genomic, and genomic-related data sets.

    The 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. In addition, the AnVIL is a component of the emerging federated data ecosystem and is expected to collaborate and integrate with other genomic data resources through the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles, as their specifications emerge from the scientific community. The AnVIL provides a collaborative environment, where datasets and analysis workflows can be shared within a consortium and be prepared for public release to the broad scientific community through AnVIL user interfaces. The AnVIL will be tailored for users that have limited computational expertise as well as sophisticated data scientist users.

    Specifically, the AnVIL resource will provide 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
Data Nodes

AnVIL Portal

AnVIL aims to create an interoperable cloud-based resource for the research community by co-locating data, storage and computing infrastructure with commonly used services and tools for analyzing and sharing data.

Go to 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)
  • McDonnell Genome Institute, Washington University in St. Louis: Ira Hall (PI), Larson David (co-I)
  • Vanderbilt University Medical Center: Robert Carroll (PI), Joshua Denny (co-I)
  • 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), Jeffrey Leek (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)
  • Carnegie Institution for Science: Frederick Tan (PI)
  • 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)
    • McDonnell Genome Institute, Washington University in St. Louis: Ira Hall (PI), Larson David (co-I)
    • Vanderbilt University Medical Center: Robert Carroll (PI), Joshua Denny (co-I)
    • 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), Jeffrey Leek (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)
    • Carnegie Institution for Science: Frederick Tan (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:

  • Nadav Ahituv, Ph.D.: University of California, San Francisco 
  • Cinnamon Bloss, Ph.D.: University of California, San Diego
  • Carol Bult, Ph.D.: Jackson Laboratory
  • Karen M. Davis, M.S.: RTI International
  • Sean Davis, M.D., Ph.D.: National Cancer Institute
  • Mark Gerstein, Ph.D.: Yale University
  • George Hripcsak, M.D., M.S.: Columbia University
  • Siddharth Pratap, Ph.D., MS: Meharry Medical College
  • Adam Resnick, Ph.D.: Children’s Hospital of Philadelphia
  • Marylyn Ritchie, Ph.D.: University of Pennsylvania 
  • 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:

    • Nadav Ahituv, Ph.D.: University of California, San Francisco 
    • Cinnamon Bloss, Ph.D.: University of California, San Diego
    • Carol Bult, Ph.D.: Jackson Laboratory
    • Karen M. Davis, M.S.: RTI International
    • Sean Davis, M.D., Ph.D.: National Cancer Institute
    • Mark Gerstein, Ph.D.: Yale University
    • George Hripcsak, M.D., M.S.: Columbia University
    • Siddharth Pratap, Ph.D., MS: Meharry Medical College
    • Adam Resnick, Ph.D.: Children’s Hospital of Philadelphia
    • Marylyn Ritchie, Ph.D.: University of Pennsylvania 

Contact Information

For any AnVIL related comments or questions please contact NHGRI at anvil@mail.nih.gov.

Program Staff

Co-Leads

Valentina Di Francesco, M.S.
Valentina Di Francesco, M.S.
  • Lead Program Director Computational Genomics and Data Science
  • Division of Genome Sciences
Ken Wiley, Jr., Ph.D.
Ken Wiley Jr, Ph.D.
  • Program Director
  • Division of Genomic Medicine

Program Directors

Shurjo Sen
Shurjo K. Sen, Ph.D.
  • Program Director
  • Division of Genome Sciences
Chris Wellington, B.S.
Chris Wellington, B.S.
  • Program Director Computational Genomics and Data Science
  • Division of Genome Sciences

Program Analysts

Natalie Kucher
Natalie Kucher
  • Scientific Program Analyst
  • Division of Genome Sciences
Ana Stevens
Ana Stevens
  • Scientific Program Anaylst
  • Division of Genomic Medicine

Policy Analyst

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Elena M. Ghanaim, M.A.
  • Policy Analyst
  • Policy and Program Analysis Branch

Last updated: August 28, 2020