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e-BioScience: A new approach to deal with the complexity
of genomics research
Timo M. Breit
Head of Micro-Array
Department & Integrative Bioinformatics Unit, Swammerdam
Institute for Life Sciences, University of Amsterdam
Maurice Bouwhuis
Head of e-Science
Support group, High Performance Computing Department,
SARA Computing and Networking Services, Amsterdam
Life sciences researchers face increasing problems
dealing with the ongoing data flood that comes from
genomics experiments. The associated complexity of data
handling, pre-processing, analysis, and interpretation
often is paralyzing. Fortunately help is on its way!
Many years of informatics research into high-performance
grid computing, distributed collaboration, automated
workflows, Virtual Laboratories, and so on, now form the
basis of an e-BioScience approach that could help
control the complexity of genomics research. But
remember: it is still a multidisciplinary effort.
Together, we ultimately should be able to come up with
functional ways for things as: experiment design,
biological-data integration, and knowledge
representation, so we can survive the omics
revolution.
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