The European Genome-phenome Archive in 2021.
The European Genome-phenome Archive in 2021.
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DOI:
10.1093/nar/gkab1059
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发表时间:
2022-01-07
影响因子:
14.9
通讯作者:
Rambla J
中科院分区:
文献类型:
--
作者:
Freeberg MA;Fromont LA;D'Altri T;Romero AF;Ciges JI;Jene A;Kerry G;Moldes M;Ariosa R;Bahena S;Barrowdale D;Barbero MC;Fernandez-Orth D;Garcia-Linares C;Garcia-Rios E;Haziza F;Juhasz B;Llobet OM;Milla G;Mohan A;Rueda M;Sankar A;Shaju D;Shimpi A;Singh B;Thomas C;de la Torre S;Uyan U;Vasallo C;Flicek P;Guigo R;Navarro A;Parkinson H;Keane T;Rambla J
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. The European Genome-phenome Archive serves human genomics and health communities by offering data submission, validation, discovery, and access services to researchers worldwide. Data reuse value is maximised by implementing community standards and ensuring interoperability of data and tools to accelerate biomedical and translational research.
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影响因子:
14.9
作者:
Harrison PW;Ahamed A;Aslam R;Alako BTF;Burgin J;Buso N;Courtot M;Fan J;Gupta D;Haseeb M;Holt S;Ibrahim T;Ivanov E;Jayathilaka S;Balavenkataraman Kadhirvelu V;Kumar M;Lopez R;Kay S;Leinonen R;Liu X;O'Cathail C;Pakseresht A;Park Y;Pesant S;Rahman N;Rajan J;Sokolov A;Vijayaraja S;Waheed Z;Zyoud A;Burdett T;Cochrane G
通讯作者:
Cochrane G
影响因子:
14.9
作者:
Arita M;Karsch-Mizrachi I;Cochrane G
通讯作者:
Cochrane G
DOI:
10.1093/bioinformatics/btab481
发表时间:
2021-08-25
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Harrow J;Drysdale R;Smith A;Repo S;Lanfear J;Blomberg N
通讯作者:
Blomberg N
影响因子:
6.6
作者:
Leivonen, Suvi-Katri;Sahlberg, Kristine Kleivi;Perala, Merja
通讯作者:
Perala, Merja
影响因子:
30.8
作者:
Lappalainen I;Almeida-King J;Kumanduri V;Senf A;Spalding JD;Ur-Rehman S;Saunders G;Kandasamy J;Caccamo M;Leinonen R;Vaughan B;Laurent T;Rowland F;Marin-Garcia P;Barker J;Jokinen P;Torres AC;de Argila JR;Llobet OM;Medina I;Puy MS;Alberich M;de la Torre S;Navarro A;Paschall J;Flicek P
通讯作者:
Flicek P