Project information
ELIXIR-EXCELERATE: Fast-track ELIXIR implementation and drive early user exploitation across the life-sciences
(ELIXIR-EXCELERATE)
- Project Identification
- 676559
- Project Period
- 9/2015 - 8/2019
- Investor / Pogramme / Project type
-
European Union
- Horizon 2020
- RI Research Infrastructures (Excellent Science)
- MU Faculty or unit
-
Central European Institute of Technology
- prof. RNDr. Jaroslav Koča, DrSc.
- Other MU Faculty/Unit
- Faculty of Science
- Other MU Faculty/Unit
- Institute of Computer Science
- Project Website
- https://www.elixir-europe.org/excelerate
- Cooperating Organization
-
European Molecular Biology Laboratory
Accelerate the implementation of ELIXIR infrastructure that supports the management, analysis and re-use of data across life science. Users will have easy access to validated workflows and tools to deposit and analyse data. We will lay a foundation supports open data management by connecting national and global data archives and resources and develop metrics and strategies for sustainable management of resources. The strategy for implementing this infrastructure is distributed: the ELIXIR Nodes deliver services, manage resources and partner with users in institutional and national research projects. ELIXIR’s distributed organisation - with Nodes that strongly link to national research priorities - ensures alignment with the needs of the life-science community across Europe. Thus the overall aim of ELIXIR is to integrate the distributed national bioinformatics infrastructures, centres of excellence and the EMBL European Bioinformatics Institute (EMBL-EBI) into a coordinated research infrastructure. Through this project ELIXIR will build the necessary capacity throughout Europe to drive the strategy and meet the need of our users.
Publications
Total number of publications: 15
2018
-
MOLEonline: a web-based tool for analyzing channels, tunnels and pores (2018 update)
Nucleic Acids Research, year: 2018, volume: 46, edition: W1, DOI
-
Validation of ligands in macromolecular structures determined by X-ray crystallography
Acta Crystallographica Section D, year: 2018, volume: 74, edition: 3, DOI
-
Worldwide Protein Data Bank validation information: usage and trends
Acta Crystallographica Section D, year: 2018, volume: 74, edition: MAR, DOI
2017
-
LiteMol suite: interactive web-based visualization of large-scale macromolecular structure data
Nature Methods, year: 2017, volume: 14, edition: 12, DOI
2016
-
PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions
PLOS COMPUTATIONAL BIOLOGY 12: e100496, year: 2016, volume: 12, edition: 5, DOI