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

Gabriel Antoniu 1 Alexandru Costan 1 Benoit da Mota 2 Bertrand Thirion 2 Radu Tudoran 1
1 KerData - Scalable Storage for Clouds and Beyond
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique
2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
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, which to date is poorly understood, has the potential to open pioneering directions in biology and medicine. As both neuroimaging- and genetic-domain observations include a huge number 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, researchers from INRIA and Microsoft Research explore cloud computing techniques to address the above computational challenge.
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https://hal.inria.fr/hal-00684384
Contributor : Gabriel Antoniu <>
Submitted on : Monday, April 2, 2012 - 12:08:03 AM
Last modification on : Thursday, March 7, 2019 - 3:34:14 PM

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  • HAL Id : hal-00684384, version 1

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Gabriel Antoniu, Alexandru Costan, Benoit da Mota, Bertrand Thirion, Radu Tudoran. A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain. ERCIM News, ERCIM, 2012, pp.21-22. ⟨hal-00684384⟩

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