FAIRification for large-scale life sciences research requires FAIRification of all aspects: data, tools, training and hardware infrastructure. Cloud computing has emerged a key infrastructure that calls for interoperability of software to facilitate data retrieval and processes that are dispersed across multiple sites. The European Open Science Cloud (EOSC) programme is established in realisation of the large-scale cloud-based data integration. The ELIXIR Interoperability platform mission aligns with the EOSC terms of…

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The EOSC-Life project is a collaboration of 13 ESFRI Research infrastructures in the Health and Food domain to create an open collaborative digital space for life science in the European Open Science Cloud (EOSC). The project is coordinated by ELIXIR.

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With this grant, awarded by the Research Foundation Flanders (FWO), we have the ambitious goal of building a truly integrated community of bioinformatics infrastructure. Therefore, we focus on collaboration with national (e.g. dmponline.be, VSC) and international (ELIXIR Communities, Galaxy, FAIRDOM, …) consortia and initiatives.

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While the existing Beacon network permits the discovery of genomic variants, the expression of these variants on the functional level depends on a wide range of factors. Adding information on variants on the proteome level will help to filter and to prioritize variants of functional relevance. The presence of genomic variants on the proteome level implies that clinical proteomics data is highly likely to be identifiable and thus specially protected under the EU GDPR guidelines.

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This study builds on the ELIXIR implementation study started in February 2017 as a collaboration between EMBL-EBI and ELIXIR Germany. The initial study aimed at developing open, robust, scalable and reproducible proteomics data analysis workflows based on OpenMS, directly connected to the PRIDE database and deploying these pipelines in the EMBL-EBI "Embassy Cloud" as a proof of concept.

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This study aims to improve the re-usability of public proteomics datasets. This is achieved by substantially increasing the amount and quality of technical and biological annotations for datasets stored in the PRIDE database.

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With the growing number of life-science training resources currently available through TeSS, it can often be a struggle to choose which may be the most relevant to learning needs or an appropriate match to existing skills and competency level.



Guidance is therefore needed to help users to identify which competencies they need to acquire, which training resources will allow them to acquire such competencies and…

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This study aims to integrate the high quality apple reference genome and its associated catalogue of genetic diversity, representing the most widely cultivated apple varieties around the world. Apple will be used as a case study for managing the growing number of ‘multi-genome’ fruit projects, testing and where necessary, improving tools to streamline data import and exchange between ELIXIR supported resources, specifically BioSamples, ENA, EVA, ORCAE and Ensembl Plants.

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This study builds on the Beacon-2016 and Beacon-2017 ELIXIR implementation studies. Current Beacon-2018 study aims to evolve the ELIXIR Beacons into a GA4GH Driver project with full alignment to GA4GH Technical Work Streams and consolidate and establish a fully costed process of “lighting a Beacon” for any ELIXIR node. Moreover, this study has the ambition to deliver Beacon/Beacon Network as an established ELIXIR infrastructure service. In addition to the…

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The aim of this study is to provide a stable infrastructure for unifying software containers solutions within ELIXIR. This infrastructure will provide an access point for end-users to find, generate, store, monitor and even benchmark software containers solutions.

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