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Paper ID: 1496

Integrating R into Discovery Net System
Qiang,Lu Xinzhong,Li Haiyan,Pan Moustafa,Ghanem Yike,Guo

Appeared in: Proceedings of the UK e-Science All Hands Conference 2006 website: http://www.allhands.org.uk/2006/
Page Numbers:357 - 361
Publisher: National e-Science Centre
Year: 2006
ISBN/ISSN: 0-9553988-0-0
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2006/proceedings/papers/630.pdf

Abstract: Discovery Net system, which is a workflow-based distributing computing environment, permits various tools to be integrated and thus provides a high-performance platform for data mining and knowledge discovering. As we know, the bioinformatics research field extends rapidly. Hundreds of various algorithms and software are developed every year. The unique capability of integration makes Discovery Net System an ideal uniform platform for bioinformatics research, where comprehensive and systematic analysis is always needed. As an open-source statistical tool, R is becoming very popular in bioinformatics research, especially in the field of microarray data analysis. Therefore, integrating R into Discovery Net system is of great significance. In this paper, we successfully developed a framework, with which R functions can be easily integrated into Discovery Net System without any further programming. Here, the methodology is illustrated, and an application instance for the domain of Microarray Analysis is demonstrated as well.

Keywords: e-Science, AHM 2006


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