Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters

Database
Language
Affiliation country
Publication year range
1.
Nucleic Acids Res ; 50(D1): D980-D987, 2022 01 07.
Article in English | MEDLINE | ID: mdl-34791407

ABSTRACT

The European Genome-phenome Archive (EGA - https://ega-archive.org/) is a resource for long term secure archiving of all types of potentially identifiable genetic, phenotypic, and clinical data resulting from biomedical research projects. Its mission is to foster hosted data reuse, enable reproducibility, and accelerate biomedical and translational research in line with the FAIR principles. Launched in 2008, the EGA has grown quickly, currently archiving over 4,500 studies from nearly one thousand institutions. The EGA operates a distributed data access model in which requests are made to the data controller, not to the EGA, therefore, the submitter keeps control on who has access to the data and under which conditions. Given the size and value of data hosted, the EGA is constantly improving its value chain, that is, how the EGA can contribute to enhancing the value of human health data by facilitating its submission, discovery, access, and distribution, as well as leading the design and implementation of standards and methods necessary to deliver the value chain. The EGA has become a key GA4GH Driver Project, leading multiple development efforts and implementing new standards and tools, and has been appointed as an ELIXIR Core Data Resource.


Subject(s)
Confidentiality/legislation & jurisprudence , Genome, Human , Information Dissemination/methods , Phenomics/organization & administration , Translational Research, Biomedical/methods , Datasets as Topic , Genotype , History, 20th Century , History, 21st Century , Humans , Information Dissemination/ethics , Metadata/ethics , Metadata/statistics & numerical data , Phenomics/history , Phenotype
2.
Bioinformatics ; 38(19): 4656-4657, 2022 09 30.
Article in English | MEDLINE | ID: mdl-35980167

ABSTRACT

SUMMARY: Beacon v2 is an API specification established by the Global Alliance for Genomics and Health initiative (GA4GH) that defines a standard for federated discovery of genomic and phenotypic data. Here, we present the Beacon v2 Reference Implementation (B2RI), a set of open-source software tools that allow lighting up a local Beacon instance 'out-of-the-box'. Along with the software, we have created detailed 'Read the Docs' documentation that includes information on deployment and installation. AVAILABILITY AND IMPLEMENTATION: The B2RI is released under GNU General Public License v3.0 and Apache License v2.0. Documentation and source code is available at: https://b2ri-documentation.readthedocs.io. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Genome , Genomics , Software , Documentation
3.
Hum Mutat ; 43(6): 791-799, 2022 06.
Article in English | MEDLINE | ID: mdl-35297548

ABSTRACT

Beacon is a basic data discovery protocol issued by the Global Alliance for Genomics and Health (GA4GH). The main goal addressed by version 1 of the Beacon protocol was to test the feasibility of broadly sharing human genomic data, through providing simple "yes" or "no" responses to queries about the presence of a given variant in datasets hosted by Beacon providers. The popularity of this concept has fostered the design of a version 2, that better serves real-world requirements and addresses the needs of clinical genomics research and healthcare, as assessed by several contributing projects and organizations. Particularly, rare disease genetics and cancer research will benefit from new case level and genomic variant level requests and the enabling of richer phenotype and clinical queries as well as support for fuzzy searches. Beacon is designed as a "lingua franca" to bridge data collections hosted in software solutions with different and rich interfaces. Beacon version 2 works alongside popular standards like Phenopackets, OMOP, or FHIR, allowing implementing consortia to return matches in beacon responses and provide a handover to their preferred data exchange format. The protocol is being explored by other research domains and is being tested in several international projects.


Subject(s)
Genomics , Information Dissemination , Humans , Information Dissemination/methods , Phenotype , Rare Diseases , Software
SELECTION OF CITATIONS
SEARCH DETAIL