Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Francisco José Esteban"'
Autor:
Manuel eNieto-Díaz, Francisco José Esteban, David eReigada, Teresa eMuñoz-Galdeano, Mónica eYunta, Marcos eCaballero-López, Rosa eNavarro-Ruiz, Ángela edel Águila, Rodrigo Martínez Maza
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 8 (2014)
Trauma to the spinal cord causes permanent disability to more than 180,000 people every year worldwide. The initial mechanical damage triggers a complex set of secondary events involving the neural, vascular, and immune systems that largely determine
Externí odkaz:
https://doaj.org/article/23459c09af2940ee9690f397df7e0975
Autor:
Irene Cervelló, Claudia Gil-Sanchis, Aymara Mas, Francisco Delgado-Rosas, José Antonio Martínez-Conejero, Amparo Galán, Alicia Martínez-Romero, Sebastian Martínez, Ismael Navarro, Jaime Ferro, José Antonio Horcajadas, Francisco José Esteban, José Enrique O'Connor, Antonio Pellicer, Carlos Simón
Publikováno v:
PLoS ONE, Vol 5, Iss 6, p e10964 (2010)
During reproductive life, the human endometrium undergoes around 480 cycles of growth, breakdown and regeneration should pregnancy not be achieved. This outstanding regenerative capacity is the basis for women's cycling and its dysfunction may be inv
Externí odkaz:
https://doaj.org/article/827a5b4abcd4438882c24098f5f19575
Autor:
Francisco José Esteban, Gabriel Dorado, David Díaz, Juan Antonio Caballero, Sergio Gálvez, Pilar Hernández
Publikováno v:
The Computer Journal 61 (6), 912-925 (2018)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
The MC64-Cluster computer platform was designed, based on many-core CPU microprocessors: Tile64. MC64-Cluster architecture was outlined in terms of both hardware and software, including commands available to manage jobs and provided application progr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b241e04ddb4636c9348191f047bd939
http://hdl.handle.net/10396/16157
http://hdl.handle.net/10396/16157
Autor:
Juan Antonio Caballero, Sergio Gálvez, Gabriel Dorado, David Díaz, Pilar Hernández, Francisco José Esteban
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Current computer engineering evolves at an accelerated pace, with hardware advancing towards new chip multiprocessors (CMP) architectures and with supporting software gearing towards new programming and abstraction paradigms, to obtain the maximum ef
Autor:
Pilar Hernández, Juan Antonio Caballero, David Díaz, Sergio Gálvez, Francisco José Esteban, Gabriel Dorado
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
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 microp
Autor:
Sergio Gálvez, Francisco José Esteban, Pilar Hernández, Juan Antonio Caballero, Gabriel Dorado, Antonio Guevara, Myriam Kurtz
Publikováno v:
CLEI Electronic Journal, Vol 17, Iss 1 (2014)
The performance of the many-core Tile64 versus the multi-core Xeon x86 architecture on bioinformatics has been compared. We have used the pairwise algorithm MC64-NW/SW that we have previously developed to align nucleic acid (DNA and RNA) and peptide
Autor:
Sergio Gálvez, Francisco José Esteban, Pilar Hernández, Antonio Guevara, Gabriel Dorado, Juan Antonio Caballero, David Díaz
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e94044 (2014)
Digital.CSIC. Repositorio Institucional del CSIC
instname
PLoS ONE 9(4): e94044 (2014)
Helvia. Repositorio Institucional de la Universidad de Córdoba
PLoS ONE
Digital.CSIC. Repositorio Institucional del CSIC
instname
PLoS ONE 9(4): e94044 (2014)
Helvia. Repositorio Institucional de la Universidad de Córdoba
PLoS ONE
We have developed the MC64-ClustalWP2 as a new implementation of the Clustal W algorithm, integrating a novel parallelization strategy and significantly increasing the performance when aligning long sequences in architectures with many cores. It must
Autor:
Pilar Hernández, Gabriel Dorado, Sergio Gálvez, David Díaz, Juan Antonio Caballero, Francisco José Esteban
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Current trends in computer programming look for solutions in the challenging task of porting and optimizing existing algorithms to many-core architectures with tens of Central Processing Units (CPUs). Yet, the lack of standardized general-purpose par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3bbc10359d26ff6260f424b3268535d
http://hdl.handle.net/10261/87390
http://hdl.handle.net/10261/87390
Autor:
Juan Antonio Caballero, Sergio Gálvez, Francisco José Esteban, Gabriel Dorado, Pilar Hernández, David Díaz
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642369803
WorldCIST
WorldCIST
The current developments in life sciences face a big challenge, with the need of dealing with huge amounts of data and the increasing demand of computational resources, both in hardware and in software, pushing the limits of the available state-of-th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d41884968a2529d43266f1c1901e6d0a
https://doi.org/10.1007/978-3-642-36981-0_76
https://doi.org/10.1007/978-3-642-36981-0_76
Autor:
Francisco José Esteban, Gabriel Dorado, Pilar Hernández, David Díaz, Juan Antonio Caballero, Sergio Gálvez
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642323034
IT Revolutions
IT Revolutions
The new massive DNA sequencing methods demand both computer hardware and bioinformatics software capable of handling huge amounts of data. This paper shows how the many-core processors (in which each core can execute a whole operating system) can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1268bc4541797f2e5f2825e64b2b0d81
https://doi.org/10.1007/978-3-642-32304-1_15
https://doi.org/10.1007/978-3-642-32304-1_15