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hal-00684384, version 1

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

Gabriel Antoniu (, http://www.irisa.fr/kerdata/doku.php?id=people:gabriel.antoniu) 1, Alexandru Costan () a1, Benoit Da Mota 2, Bertrand Thirion () 2, Radu Tudoran () 1

ERCIM News (2012) 21-22

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.

  • a –  kerdata
  • 1:  KerData (INRIA - IRISA)
  • INRIA – CNRS : UMR6074 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
  • 2:  PARIETAL (INRIA Saclay - Ile de France)
  • INRIA
  • Collaboration : A-Brain project, INRIA - Microsoft Research
  • Domain : Computer Science/Distributed, Parallel, and Cluster Computing
    Computer Science/Bioinformatics
    Life Sciences/Quantitative Methods
 
  • hal-00684384, version 1
  • oai:hal.inria.fr:hal-00684384
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  • Submitted on: Monday, 2 April 2012 00:08:03
  • Updated on: Monday, 2 April 2012 00:08:03