Title :
GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials
Author :
Wegener, Dennis ; Sengstag, Thierry ; Sfakianakis, Stelios ; Rüping, Stefan ; Assi, Anthony
Author_Institution :
Fraunhofer IAIS, Wiesbaden
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.
Keywords :
Web services; cancer; data analysis; genetics; grid computing; medical computing; statistical analysis; ACGT clinico-genomics trials; Advancing Clinico-Genomics Trials on Cancer; GridR; Web service; data analysis; grid-enabled tool; microarray-based analysis; statistical environment; Bioinformatics; Biomedical informatics; Cancer; Clinical trials; Data analysis; Data privacy; Grid computing; Image databases; Medical treatment; Web services;
Conference_Titel :
e-Science and Grid Computing, IEEE International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-0-7695-3064-2
DOI :
10.1109/E-SCIENCE.2007.41