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MC64: A web platform to test bioinformatics algorithms in a many-core architecture
dc.contributor.author | Díaz, David | |
dc.contributor.author | Caballero, J.A. | |
dc.contributor.author | Hernández, Pilar | |
dc.contributor.author | Dorado, G. | |
dc.contributor.author | Gálvez, Sergio | |
dc.contributor.author | Esteban, F.J. | |
dc.date.accessioned | 2012-04-13T10:19:13Z | |
dc.date.available | 2012-04-13T10:19:13Z | |
dc.date.issued | 2011 | |
dc.identifier.isbn | 978-3-642-19913-4 | |
dc.identifier.uri | http://hdl.handle.net/10396/6801 | |
dc.description.abstract | New 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 platforms | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | spa | es_ES |
dc.publisher | Springer Berlin / Heidelberg | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.source | Esteban, 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/10.1007/978-3-642-19914-1 | es_ES |
dc.subject | Analytical methodology | es_ES |
dc.subject | Computational power | es_ES |
dc.subject | Many-core architecture | es_ES |
dc.subject | Resource integration | es_ES |
dc.subject | Third-party tools | es_ES |
dc.subject | Algorithms | es_ES |
dc.subject | User interfaces | es_ES |
dc.subject | Web browsers | es_ES |
dc.subject | Bioinformatics | es_ES |
dc.title | MC64: A web platform to test bioinformatics algorithms in a many-core architecture | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.relation.publisherversion | http://www.springerlink.com/content/63u2537116715l51/ | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |