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dc.contributor.authorDíaz, David
dc.contributor.authorCaballero, J.A.
dc.contributor.authorHernández, Pilar
dc.contributor.authorDorado, G.
dc.contributor.authorGálvez, Sergio
dc.contributor.authorEsteban, F.J.
dc.date.accessioned2012-04-13T10:19:13Z
dc.date.available2012-04-13T10:19:13Z
dc.date.issued2011
dc.identifier.isbn978-3-642-19913-4
dc.identifier.urihttp://hdl.handle.net/10396/6801
dc.description.abstractNew analytical methodologies, like the so-called "next-generation sequencing" (NGS), allow the sequencing of full genomes with high speed and reduced price. Yet, such technologies generate huge amounts of data that demand large raw computational power. Many-core technologies can be exploited to overcome the involved bioinformatics bottleneck. Indeed, such hardware is currently in active development. We have developed parallel bioinformatics algorithms for many-core microprocessors containing 64 cores each. Thus, the MC64 web platform allows executing high-performance alignments (Needleman-Wunsch, Smith-Waterman and ClustalW) of long sequences. The MC64 platform can be accessed via web browsers, allowing easy resource integration into third-party tools. Furthermore, the results obtained from the MC64 include time-performance statistics that can be compared with other platformses_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isospaes_ES
dc.publisherSpringer Berlin / Heidelberges_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceEsteban, F., Díaz, D., Hernández, P., Caballero, J., Dorado, G., Gálvez, S., Rocha, M., et al. (2011). 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011). (M. P. Rocha, J. M. C. Rodríguez, F. Fdez-Riverola, & A. Valencia, Eds.) (Vol. 93, pp. 9-16). Berlin, Heidelberg: Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-19914-1es_ES
dc.subjectAnalytical methodologyes_ES
dc.subjectComputational poweres_ES
dc.subjectMany-core architecturees_ES
dc.subjectResource integrationes_ES
dc.subjectThird-party toolses_ES
dc.subjectAlgorithmses_ES
dc.subjectUser interfaceses_ES
dc.subjectWeb browserses_ES
dc.subjectBioinformaticses_ES
dc.titleMC64: A web platform to test bioinformatics algorithms in a many-core architecturees_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.relation.publisherversionhttp://www.springerlink.com/content/63u2537116715l51/es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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