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HECTOR: Enabling microarray experiments over the hellenic grid infrastructure

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dc.contributor.author Kanaris, I en
dc.contributor.author Mylonakis, V en
dc.contributor.author Chatziioannou, A en
dc.contributor.author Maglogiannis, I en
dc.contributor.author Soldatos, J en
dc.date.accessioned 2014-03-01T01:30:50Z
dc.date.available 2014-03-01T01:30:50Z
dc.date.issued 2009 en
dc.identifier.issn 1570-7873 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19643
dc.subject EGEE en
dc.subject gLite en
dc.subject Grid application enablement en
dc.subject Hellasgrid en
dc.subject Microarray experiments en
dc.subject MPI en
dc.subject.other EGEE en
dc.subject.other gLite en
dc.subject.other Grid application enablement en
dc.subject.other Hellasgrid en
dc.subject.other Microarray experiments en
dc.subject.other MPI en
dc.subject.other Bioinformatics en
dc.subject.other Computer science en
dc.subject.other DNA en
dc.subject.other Experiments en
dc.subject.other Genes en
dc.subject.other MATLAB en
dc.subject.other Nucleic acids en
dc.subject.other Quality of service en
dc.subject.other Grid computing en
dc.title HECTOR: Enabling microarray experiments over the hellenic grid infrastructure en
heal.type journalArticle en
heal.identifier.primary 10.1007/s10723-009-9123-6 en
heal.identifier.secondary http://dx.doi.org/10.1007/s10723-009-9123-6 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract Biologists, medical experts, biochemical engineers and researchers working on DNA microarray experiments are increasingly turning on Grid computing with the scope of leveraging the Grid's computing power, immense storage resources, and quality of service to the expedient processing of a wide range of datasets. In this paper we present a combined experience of grid application experts and bioinformatics scientists in deploying a pilot service enabling computationally efficient processing and analysis of data stemming from microarray experiments. This pilot service is accessible over the Hellenic portion of the EGEE grid and has been demonstrated in the scope of several public events. We highlight the process of grid application enablement, grid deployment challenges, as well as lessons learnt from a bi-annual effort to port and deploy a MATLAB DNA microarray application on a production grid. In addition to describing the parallelization of the application, we also emphasize on the development of a distributed federated database for storing and post-processing the results of the microarray experiments. Overall we believe that our experience could be proven valuable not only to microarray data scientists but also to other Grid users that intend to Grid-enable and deploy their applications. © Springer Science+Business Media B.V. 2009. en
heal.publisher SPRINGER en
heal.journalName Journal of Grid Computing en
dc.identifier.doi 10.1007/s10723-009-9123-6 en
dc.identifier.isi ISI:000272244900009 en
dc.identifier.volume 7 en
dc.identifier.issue 3 en
dc.identifier.spage 395 en
dc.identifier.epage 416 en


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