GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials

Authors:
Dennis Wegener;Thierry Sengstag;Stelios Sfakianakis;Stefan Ruping;Anthony Assi
Affiliations:
-;-;-;-;-
Venue:
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Year:
2007

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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. 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 concept, an example of microarray-based analysis taken from the literature was reproduced using GridR. As GridR will ultimately be made available to the ACGT community as a web service, we are sketching the ACGT project and its architecture in the present article as well.