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, time, 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 completely new challenges and opportunities in life sciences and transforms life science research in an information science. A shift 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 life 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 technologies from informatics in order to increase the efficiency of data (generating) facilities within existing collaborations, whereas it safeguards access to these facilities and to the associated scientific expertise. When combined with rigorous data modelling and standardization (e.g., by making use of agreed ontologies and data analysis protocols) e-bioscience will increase the quality and reproducibility of the research.

At the AMC we adopt Web and GRID technologies to enable and enhance biomedical research, participating in the on-going global research effort to develop what is termed "cyberinfrastructures" in the USA, and "e-Science infrastructures" in Europe. In particular we collaborate with the Dutch e-Science Grid (BiGGrid project) and the Biomedical virtual research community established during EGEE projects. The e-Bioscience group currently has activities covering data analysis in the areas of medical imaging, next generation DNA sequencing and proteomics.

More information.