Next-generation bioinformatics: using many-core processor architecture to develop a web service for sequence alignment

Motivation: Bioinformatics algorithms and computing power are the main bottlenecks for analyzing huge amount of data generated by the current technologies, such as the ‘next-generation’ sequencing methodologies. At the same time, most powerful microprocessors are based on many-core chips, yet most a...

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Veröffentlicht in:	Bioinformatics Jg. 26; H. 5; S. 683 - 686
Hauptverfasser:	Gálvez, Sergio, Díaz, David, Hernández, Pilar, Esteban, Francisco J., Caballero, Juan A., Dorado, Gabriel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 01.03.2010
Schlagworte:	Algorithms Alignment Bioinformatics Biological and medical sciences Computation Computational Biology - methods Fundamental and applied biological sciences. Psychology General aspects Internet Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Microprocessors On-line systems Parallel processing Personal computers Sequence Alignment - methods Cores Architecture Bioinformatics Sequence alignment World wide web Web service
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online-Zugang:	Volltext
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