Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/188093
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | MC64: A web platform to test bioinformatics algorithms in a many-core architecture |
Autor: | Esteban, Francisco J.; Díaz Viñolas, David CSIC ORCID; Hernández Molina, Pilar CSIC ORCID ; Caballero, Juan Antonio; Dorado, Gabriel; Gálvez, Sergio | Fecha de publicación: | 2011 | Editor: | Springer Nature | Citación: | 5th International Conference on Practical Applications of Computational Biology & Bioinformatics: 9-16 (2011) | Serie: | Advances in Intelligent and Soft Computing 93 |
Resumen: | ew 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. | Descripción: | Editors: Miguel P. Rocha, Juan Manuel Corchado Rodríguez, Florentino Fdez Riverola, Alfonso Valencia. | URI: | http://hdl.handle.net/10261/188093 | ISBN: | 978-3-642-19914-1 (online) | ISSN: | 1867-5662 |
Aparece en las colecciones: | (IAS) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 59,24 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
143
checked on 23-abr-2024
Download(s)
29
checked on 23-abr-2024
Google ScholarTM
Check
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.