ArticleCell genomics2022
Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space.
Article in Cell genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
105 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis.Nature communications · 2023Pooled it
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- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- Galaxy for accessible, reproducible, and collaborative data analyses: 2026 update.Nucleic acids research · 2026Article
- Navigating data sharing in research.American journal of human genetics · 2026Review
- Building an Interoperable Rare Disease Multi-omic Resource: The GREGoR Data Model and Dataset.bioRxiv : the preprint server for biology · 2026Article
- Characterizing core outcomes of responsible stewardship for human genomic data in the cloud.BMC medical genomics · 2026Article
- The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026Article
- The FAIRSCAPE AI-readiness Framework for Biomedical Research.bioRxiv : the preprint server for biology · 2026Article
- Ten common misconceptions about Galaxy (and why they are wrong!).PLoS computational biology · 2026Article
- Federated, governed, and interoperable? The emerging architecture of public human genomic data infrastructures: a European perspective.Frontiers in genetics · 2026Review
- Unearthing soil biodiversity through collaborative genomic research and education.Nature genetics · 2026Article
- Genome annotations matter: characterizing Ensembl hg38 annotations from 2014 to 2023.BMC genomics · 2025Article
- A bioinformatic survey of RNA isoform diversity and expression across 9 GTEx tissues using long-read sequencing data.BMC genomics · 2025Article
- Making genomic data FAIR through effective Data Portals.Scientific data · 2025Article
- Insights into the Datasets, Tools, and Training Needs of the AnVIL Community: 2024.bioRxiv : the preprint server for biology · 2025Article
- JINet: easy and secure private data analysis for everyone.BMC bioinformatics · 2025Article
- Warp analysis research pipelines: cloud-optimized workflows for biological data processing and reproducible analysis.Bioinformatics (Oxford, England) · 2025Article
- Misdetection of frameshifts in SARS-CoV-2 genomes: need for additional harmonisation and efficient monitoring of data workflows.Bioinformatics (Oxford, England) · 2025Article
- CNPI: Rapid Analyses of Human Copy Number Data.Journal of molecular biology · 2025Article
45 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors.
Funding
Abstract
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.