 |
 |
|
|
| HAL : hal-00684384, version 1 |
| Voir la fiche détaillée |  BibTeX,EndNote,... |
 |
| ERCIM News (2012) 21-22 |
|
|
|
|
| A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain |
|
|
| Gabriel Antoniu 1Alexandru Costan 1 |
|
|
| A-Brain project, INRIA - Microsoft Research Collaboration(s) |
|
|
| (04/2012) |
|
|
|
| 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. |
|
|
|
|
|
|
|
|
|
|
|
| 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 |
|
|
|
|
|
|
|
|
|
| kerdata |
|
|
|
|
| Domaine | : | Informatique/Calcul parallèle, distribué et partagé Informatique/Bio-informatique Sciences du Vivant/Bio-Informatique, Biologie Systémique |
| hal-00684384, version 1 | |
| http://hal.inria.fr/hal-00684384 | |
| oai:hal.inria.fr:hal-00684384 | |
| Contributeur : Gabriel Antoniu | |
| Soumis le : Lundi 2 Avril 2012, 00:08:03 | |
| Dernière modification le : Lundi 2 Avril 2012, 00:08:03 | |
