Biology Reference
In-Depth Information
Chapter 7
Support for Cooperative Experiments
in e-Science: From Scientific Workflows
to Knowledge Sharing
Adam S. Z. Belloum , Reginald Cushing, Spiros Koulouzis,
Vladimir Korkhov, Dmitry Vasunin, Victor Guevara-Masis,
Zhiming Zhao, and Marian Bubak
Keywords e-Science ￿ Work fl ow ￿ Storage resources ￿ Uniform interface
￿ Geographically distributed computing resources ￿ Knowledge sharing ￿ Virtual
organization ￿ Material analysis of complex surface ￿ Preprocessing phase
￿ Experimentation process ￿ Hyper-spectral data cube ￿ Multivariate data analysis
￿ Integrated application ￿ Life-cycle ￿ Searching work fl ows ￿ Reproducibility of
results ￿ Interoperability between different work fl ows ￿ Dissemination ￿ Work fl ow
support ￿ Virtual data system ￿ Shared repository ￿ Process flow template ￿ Executable
operations ￿ Pegasus ￿ Proxy-service ￿ Single nucleotide polymorphism ￿ Individual
therapy
7.1
Introduction
The term e-Science describes computational and data-intensive science. It has
become a complementary experiment paradigm alongside the traditional in vivo and
in vitro experiment paradigms. e-Science opens new doors for scientists and with it,
A. S. Z. Belloum ( * ) ￿ R. Cushing ￿ S. Koulouzis ￿ V. Guevara-Masis ￿ Z. Zhao
The Informatics Institute , University of Amsterdam , Amsterdam , The Netherlands
e-mail: a.s.z.belloum@uva.nl ; r.cushing@uva.nl ; s.koulouzis@uva.nl ; z.zhao@uva.nl
V. Korkhov ￿ D. Vasunin
Faculty of Applied Math and Control Processes, St. Petersburg
State University , Saint Petersburg , Russia
e-mail: vkorkhov@gmail.com ; dvasunin@gmail.com
M. Bubak
AGH University of Science and Technology Krakow, Poland and the Informatics Institute,
University of Amsterdam , Amsterdam , The Netherlands
e-mail: bubak@agh.edu.pl; M.T.Bubak@uva.nl
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