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3rd IEEE International Conference on e-Science and Grid Computing, Bangalore : Inde (2007)

GridR: An R-based grid-enabled tool for data analysis in ACGT clinico-genomics trials

Dennis Wegener 1, Thierry Sengstag 2, 3, Stelios Sfakianakis 4, Stefan Rüping 1, Anthony Assi 5

(2007)

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.

1 :	Fraunhofer IAIS
	Fraunhofer IAIS
2 :	Swiss Institute of Bioinformatics - Lausanne (SIB)
	Swiss Institute of Bioinformatics
3 :	Swiss Institute for Experimental Cancer Research - Lausanne (ISREC)
	Swiss Institute for Experimental Cancer Research
4 :	Biomedical Informatics Laboratory
	Foundation for Research & Technolgy - Hellas
5 :	SYMBIOSE (INRIA - IRISA)
	CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1

Domaine

:

Informatique/Bio-informatique Sciences du Vivant/Bio-Informatique, Biologie Systémique

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Contributeur : Anthony Assi <>

Soumis le : Samedi 12 Janvier 2008, 07:00:02

Dernière modification le : Vendredi 21 Mai 2010, 14:06:16