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ELIXIR Luxembourg

ELIXIR-LU, the Luxembourgish node of ELIXIR, the European infrastructure for life science information, focuses on long-term sustainability of tools and data for Translational Medicine.
Translational Medicine data integrate clinical information with molecular and cellular data for a better understanding of diseases. They bridge the gap between the molecular level, findings from the laboratory, and the clinical observations and applications.
ELIXIR-LU aims to facilitate long-term access to those research data and to tools for scientists in both academia and industry. This will allow the reuse of previously generated translational data to address new research questions and dramatically save time and cost. To provide solutions ELIXIR-LU is establishing services that align with three ELIXIR platforms as shown below.

Type

Organisation

ELIXIR node

Luxembourg

ELIXIR Luxembourg https://elixir-luxembourg.org/ https://test-space.tesshub.org/content_providers/elixir-luxembourg ELIXIR-LU, the Luxembourgish node of ELIXIR, the European infrastructure for life science information, focuses on long-term sustainability of tools and data for Translational Medicine. Translational Medicine data integrate clinical information with molecular and cellular data for a better understanding of diseases. They bridge the gap between the molecular level, findings from the laboratory, and the clinical observations and applications. ELIXIR-LU aims to facilitate long-term access to those research data and to tools for scientists in both academia and industry. This will allow the reuse of previously generated translational data to address new research questions and dramatically save time and cost. To provide solutions ELIXIR-LU is establishing services that align with three ELIXIR platforms as shown below. /system/content_providers/images/000/000/118/original/Elixir_LU_logo_big.png?1569602378

Owner

marinapopleteev (Marina POPLETEEVA)

Editors

vilemded (Vilem DED)
pinar.alper (Pinar ALPER)
pinar_alper (PINAR ALPER)
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.