GridR: An R-based tool for scientific data analysis in grid environments

Authors:
Dennis Wegener;Thierry Sengstag;Stelios Sfakianakis;Stefan Rüping;Anthony Assi
Affiliations:
Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, 53754 St. Augustin, Germany;Swiss Institute of Bioinformatics, Bítiment Génopode, CH-1015 Lausanne, Switzerland;Biomedical Informatics Laboratory, Institute of Computer Science, FORTH, Greece;Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, 53754 St. Augustin, Germany;Ouest-genopole Bio-Informatics Platform, Symbiose Team, INRIA/IRISA, Rennes, France
Venue:
Future Generation Computer Systems
Year:
2009

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Abstract

In this paper, we describe an analysis tool based on the statistical environment R, GridR, which allows using the collection of methodologies available as R packages in a grid environment. It provides the user with transparent and seamless access to large-scale distributed computational services and data repositories within the secure and reliable framework of a grid system. The aim of GridR, which was initiated in the context of the EU project Advancing Clinico-Genomics Trials on Cancer (ACGT), is to provide a powerful framework for the analysis of clinico-genomic trials involving large amount of data (e.g. microarray-based clinical trials). As a proof of the concept, an example of microarray-based analysis taken from the literature was reproduced using GridR.