The e-Science research group of the AMC is interested in new methodologies for large-scale biomedical data analysis. In the past years special attention has been devoted to science gateways, as means to make e-science methodologies accessible for bioscientists in an efficient manner. The gateways provide services for data processing, management and collaboration.

Various concepts and technologies have been adopted in the research, design and development of science gateways, including workflow management, distributed computing, data and provenance management. The results of our research, the so called Science Gateways, are built into systems that can be used by biomedical researchers at the AMC and collaborating organisations.

Currently our research is more focused in analysis and management of (big) data in biomedical research applications.

See our publications.

Our research has been funded by the following projects and organizations:

  • AMC Innovation Fund
  • HPCN UvA: High-Performance and Networking Fund of the University of Amsterdam
  • COMMIT program, Front-end for biomedical data analysis on e-infrastructures.
  • ER-flow: Building an European Research Community through Interoperable Workflows and Data, supported by a grant from the European Commission FP7 INFRASTRUCTURES-2012-1 
  • SCI-BUSSCIentific gateway Based User Support, FP7 INFRASTRUCTURES-2011-2
  • SHIWA: SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs, European Commission FP7 INFRASTRUCTURES-2010-2