ArticleCell genomics2021
CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis.
Article in Cell genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.Journal of medical Internet research · 2022Pooled it
- Secure bioinformatics: privacy-preserving federated analytics using homomorphic encryption.Bioinformatics (Oxford, England) · 2026Article
- Translating multi-omics into healthcare: requisites for scalable and equitable implementation.Human genomics · 2026Review
- Genomic privacy and security in the era of artificial intelligence and quantum computing.Discover computing · 2025Review
- MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.Bioinformatics (Oxford, England) · 2024Article
- Review
- Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform.PLoS computational biology · 2024Article
- Towards cross-application model-agnostic federated cohort discovery.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Astronaut omics and the impact of space on the human body at scale.Nature communications · 2024Review
- Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.Annual review of genomics and human genetics · 2023Review
- HostSeq: a Canadian whole genome sequencing and clinical data resource.BMC genomic data · 2023Article
- From biomedical cloud platforms to microservices: next steps in FAIR data and analysis.Scientific data · 2022Article
- Beacon v2 and Beacon networks: A "lingua franca" for federated data discovery in biomedical genomics, and beyond.Human mutation · 2022Article
- Democratizing clinical-genomic data: How federated platforms can promote benefits sharing in genomics.Frontiers in genetics · 2022Article
- International federation of genomic medicine databases using GA4GH standards.Cell genomics · 2021Article
- Lessons from federated networks for implementing the European health data space. Empirical study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present the Canadian Distributed Infrastructure for Genomics (CanDIG) platform, which enables federated querying and analysis of human genomics and linked biomedical data. CanDIG leverages the standards and frameworks of the Global Alliance for Genomics and Health (GA4GH) and currently hosts data for five pan-Canadian projects. We describe CanDIG's key design decisions and features as a guide for other federated data systems.
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.