Contact Details
Netherlands eScience Center
Netherlands eScience Center, Science Park 140, 1098 XG Amsterdam
Dr. T. Bakker
0031 (0)20 4604770
Hotel Description
The eScience Center develops scientific software for Dutch academia. This is done by funding and participating in data-intensive research projects across all scientific disciplines. We welcome reseachers to contact us to explore possible collaboration.
Our core expertises are in the fields of :
- optimized data handling (real-time data analysis, database optimization, data-interoperability, combining structured and unstructured data)
- efficient computing (high-performance and distributed computing (e.g. cloud), heterogeneous computing, efficient algorithms, accelerator hardware (e.g. GPUs))
- big data analytics (data exploration, analysis, data mining, machine learning, text analysis, natural language processing, statistics and visualization)
The Netherlands eScience Center was launched in 2011 as a unique collaboration between NWO, the principle Dutch scientific funding body and SURF, the Dutch higher education and research partnership for ICT. The center was initiated as a direct response to the Dutch government’s request to develop a sustainable, coherent and cost-effective eScience environment and digital infrastructure across all scientific disciplines.
- Biomedical & health
- Agri & Food
- Industrial biotech
- Biodiversity & ecology
- Machine Learning (e.g. deep learning)
- Orchestrated computing (parallel execution of complex computational workflows)
- Linked data / fair data technologies
- Metabolomics & proteomics data annotation
- Data visualization
- Xenobiotic metabolism
- Drug design
- Neuroimaging
Expertise and Track Record
43500984092 Semantic Analysis of Radiology Reports utilizing Lexicon and Embedded Knowledge with Y. Wee (Maastricht UMC)
Emetabolomics. Website: https://www.emetabolomics.org
The eScience Center developed an insilico method for automatic chemical annotation of metabolomics data
3d echem. Website: https://3d-e-chem.github.io
The eScience Center integrated several tools for structure-based prediction of protein-ligand interactions into the Knime workflow environment
TraIT (Translational Research IT – CTMM). Website: http://www.ctmm-trait.nl
The eScience Center is projectlead for WP6 Deployment: implementing a service desk, support and training organization for TraIT medical informatics, imaging and bioinformatics tools
VLPB (Virtual Lab for Plant Breeding – TTI Groene Genetica). Website: https://www.esciencecenter.nl/project/the-virtual-laboratory-for-plant-breeding
The eScience Center implements (with UVA and WUR) next generation precision breeding tools
Biomarker Boosting (RUN, EMC, VUmc, UM). Website: https://www.esciencecenter.nl/project/biomarker-boosting
The eScience Center implements (with project partners) a multi-center medical image analysis pipeline
3D printing of human body parts (VUmc). Website: https://www.esciencecenter.nl/redactional/young-escientist-2016
Overview of all our projects: https://www.esciencecenter.nl/projects
List of all publications: http://research.esciencecenter.nl
Overview of our GitHub repositories: https://nlesc.github.io
- The eMetabolomics project integrated metabolomics data analysis with chemical databases and metabolite predictions. More info: http://pubs.acs.org/doi/abs/10.1021/ac403875b
- In the CandyGene project, the eScience Center built linked data platform integrating trait data (QTL) with semantically annotated genome data. More info: https://github.com/candYgene
- 3D-e-Chem-VM: Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine. Website: http://pubs.acs.org/doi/abs/10.1021/acs.jcim.6b00686
- Substructure-based annotation of high-resolution multistage MSn spectral trees. Website: http://onlinelibrary.wiley.com/doi/10.1002/rcm.6364/full
Platform of eScience/Data Research Centers in the Netherlands
https://escience-platform.nl
Plan-Europe – Platform of National eScience Centers in Europe
https://plan-europe.eu/
Hotel Characteristics
- 40 eScience Research Engineers / Research Software Engineers
80
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