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