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The 2017 Galaxy Community Conference (GCC2017) is being held in Montpellier, France, 26-30 June.  GCC2017 will include keynotes and accepted talks, poster sessions, demos, birds-of-a-feather meetups, exhibitors, and plenty of networking opportunities. There will also be three days of pre-conference activities, including hackathons and training. If you work in data-intensive biomedical research, there is no better place than GCC2017 to present your work and to learn from others.
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Friday, June 30 • 15:20 - 16:35
P08: GEGA: An application for secure access and analysis of EGA data with Galaxy

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Authors
David Van Zessen 1, Alexander Snef 2, Youri Hoogstrate 1, Dylan Spalding 2, Andrew Stubbs 1*
1 : Bioinformatics Dept., Erasmus University Medical Center  (Erasmus MC)
2 : European Bioinformatics Institute [Hinxton]  (EMBL-EBI), EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK -  United Kingdom
* : Corresponding author


Abstract
The European Genome-phenome Archive (EGA) was created to manage both access and distribution, while providing long-term archival of controlled-access bio-molecular data. Each data provider is responsible for ensuring a Data Access Committee is in place to grant access to data stored in the EGA. A European research infrastructure for life-science data (ELIXIR), initiated a project (2016 Human Data Implementation Study) to determine ELIXIR requirements for secure management of controlled-access data. The project resulted in a prototype application to access EGA from Galaxy [Hoogstrate Y, et al 2016 Hoogstrate Y, et al. 2016 ]. We subsequently implemented a fully functional Galaxy EGA (GEGA) tool to allow end users easy and secure access to data deposited at the EGA and to run any workflow that is available in Galaxy. The data remains in an encrypted state on disk using the fuse layer developed at the European Bioinformatics Institute (EBI) to ensure data security. A new feature in GEGA is the ability for users to combine EGA and non-EGA data in the same Galaxy workflow without compromising secure access to the EGA. GEGA is builds upon our FAIR data management and analysis application (myFAIR) and will be freely available for download and use from https://github.com/ErasmusMC-Bioinformatics/ega_galaxy.

Presenters
DV

David Van Zessen

Bioinformatics Dept., Erasmus University Medical Center (Erasmus MC)


Friday June 30, 2017 15:20 - 16:35
Le Corum Le Corum

Attendees (1)