Literature DB >> 17695744

GGM: efficient navigation and mining in distributed genomedical data.

Jean-Marc Pierson1, Julien Gossa, Pascal Wehrle, Yonny Cardenas, Sébastien Cahon, Mahmoud El Samad, Lionel Brunie, Clarisse Dhaenens, Abdelkader Hameurlain, Nouredine Melab, Maryvonne Miquel, Franck Morvan, El-Ghazali Talbi, Anne Tchounikine.   

Abstract

The integration of genomics and patient related data is considered as one of the most promising investigation topic in health care research. Started in 2004, the Grid for Geno Medicine (GGM) project aims at providing a comprehensive grid software infrastructure designed to allow biologists to mine and analyze relationships between medical, genetic, and genomic data stored in distributed datawarehouses. The proposed layered service oriented architecture offers a number of independent but compliant services that can be deployed in a grid environment. This paper presents these services insisting on their integration into a common software platform, the use case that is carried out. It also presents the current state of the developments and of the performance evaluations.

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Year:  2007        PMID: 17695744     DOI: 10.1109/tnb.2007.897477

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  1 in total

1.  A case for using grid architecture for state public health informatics: the Utah perspective.

Authors:  Catherine J Staes; Wu Xu; Samuel D LeFevre; Ronald C Price; Scott P Narus; Adi Gundlapalli; Robert Rolfs; Barry Nangle; Matthew Samore; Julio C Facelli
Journal:  BMC Med Inform Decis Mak       Date:  2009-06-22       Impact factor: 2.796

  1 in total

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