A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain

Radu Tudoran 1 Alexandru Costan 1 Benoit Da Mota 2 Gabriel Antoniu 1 Bertrand Thirion 2
1 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
2 AMIB - Algorithms and Models for Integrative Biology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Joint genetic and neuroimaging data analysis on large cohorts of subjects is a new approach used to assess and understand the variability that exists between individuals. This approach has remained poorly understood so far and brings forward very significant challenges, as progress in this field can open pioneering directions in biology and medicine. As both neuroimaging- and genetic-domain observations represent a huge amount of variables (of the order of 106 ), performing statistically rigorous analyses on such Big Data represents a computational challenge that cannot be addressed with conventional computational techniques. In the A-Brain project, we address this computational problem using cloud computing techniques on Microsoft Azure, relying on our complementary expertise in the area of scalable cloud data management and in the field of neuroimaging and genetics data analysis.
Type de document :
Communication dans un congrès
CloudFutures, May 2012, Berkeley, United States. Microsoft, 2012
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Dernière modification le : jeudi 12 avril 2018 - 01:49:24
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  • HAL Id : hal-00781571, version 1

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Radu Tudoran, Alexandru Costan, Benoit Da Mota, Gabriel Antoniu, Bertrand Thirion. A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain. CloudFutures, May 2012, Berkeley, United States. Microsoft, 2012. 〈hal-00781571〉

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