Medical Bioinformatics

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e-Bioscience People

The amount and complexity of biomedical data available for research and healthcare are assuming dramatic proportions as a consequence of advances in data acquisition techniques. Not only a vast amount and variety of data can be acquired about living organisms, but also the throughput and resolution (spatial, spectral, temporal, etc.) are ever growing. Moreover, a wealth of information about life style, disease history and clinical parameters is also available in hospital databases and (electronic) patient files. This radical increase of biological and clinical data creates new challenges and opportunities in life sciences, and it is transforming Life science research in an information science. A change in the methodologies used for data analysis and management is required to address the increasing challenges, where information and communication technologies (ICT) play an essential role.

e-bioscience refers to scientific projects within the domain of biomedical sciences that are carried out in distributed collaborations using technologies from the informatics and ICT fields. e-bioscience objectives include the seamless adoption in biomedical research of (large data generating) research facilities such as measurement devices, of (very) large biological and medical data collections, of (large) compute power and data storage, and (remote) facilities for scientific visualization and data analysis. Sharing facilities and expertise is one of the essential and most challenging components of e-bioscience. Thus, in contrast to traditional collaborations, e-bioscience makes use of new information technologies in order to increase the efficiency of data (generating) facilities within existing collaborations, and at the same time safeguarding access to these facilities and to the associated scientific expertise. When combined with rigorous data modelling and standardization, e-bioscience will increase the quality and reproducibility of the research.

At the AMC we are taking the first steps to adopt advanced information technologies to enable and enhance biomedical research. Our activities so far have focused on the exploitation of "e-infrastructures" for biomedical data analysis applications, in particular the Dutch e-Science infrastructure that is currently provided by SURFSara.

More information.
The e-Bioscience research group is led by Silvia Olabarriaga .

Shayan Shahand is a PhD student in the COMMIT project.

Mahdi Jaghouri and Vladimir Korkhov are workflow management experts.

Ammar Benabdelkader is information management expert.

Hurng Chun Lee is grid computing expert.

Juan Luis Font Calvo is systems operations expert.

Jorrit Posthuma is software developer.

Gerbrand Spaans is neuroscience expert.

The team is funded by various projects: HPCN Fund of the UvA, SCI-BUS FP7 project, ER-flow FP7 project and COMMIT.

Topic revision: r32 - 27 May 2020, UnknownUser Search
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