e-BioScience Web

Welcome to the website of the e-Bioscience group of the Bioinformatics Laboratory of the Department of Clinical Epidemiology, Biostatistics and Bioinformatics of the Academic Medical Center of the University of Amsterdam.

The goal of the e-Bioscience group is to improve and increase the capacity, scope and quality of biomedical research performed at the AMC. We serve as bridge between biomedical and clinical researchers, who have data analysis problems that cannot be tacked by their current tools, and the vast amount to expertise in information and computation sciences. Together we define use cases that are implemented as a common effort.

As basic platform we adopt the e-Bioscience infrastructure (e-Bioinfra), using state-of-the-art technology and concepts. In this process we address the following main themes:

  • Distributed systems architectures and technologies.
  • Workflow and Grid technology to perform experiments that require high-performance computing;
  • User front-ends with the infrastructure, in particular usability aspects;
  • Interoperability, connectivity and integration of the e-BioInfra with other components of the AMC IT infrastructure;
  • Security;

See also the overview page for an overview and team members.

History

During the VL-e project (2004-2009) an e-Science platform was set-up at the AMC to facilitate research in medical imaging by the Medical Diagnosis and Imaging (vlemed) subprogram. This platform contains computing and storage resources of the Dutch e-Science Grid, several web-based systems that implement services on the grid, and it can be accessed from a user-friendly front-end.

Since May 2008 researchers at the AMC have successfully adopted this platform to investigate methodological questions in functional MRI (neuroscience) and DTI (medical imaging). The generic components platform can now be applied more broadly to other biomedical research applications in the AMC, such as next generation sequencing and proteomics along the lines of the ( NBIC BioAssist) programme. Because the researchers can directly and autonomously access the advanced computing Grid resources, computing time or storage space have ceased to be a barrier to the scientific questions they want to address, leading to enhanced Bioscience (e-Bioscience).

Actual Info

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Topic revision: r53 - 2010-07-26 - 10:23:34 - SilviaOlabarriaga