Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Jose Luis Vazquez-Poletti"'
What's new in the European research and development area? Cloud computing is a provision model where whatever computing resource that can be thought of (machines, network, software solutions, applications) is provided as a service. This new paradigm
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Autor:
Fernando Mora-Márquez, Carmen Collada, Jose Luis Vazquez-Poletti, Víctor Chano, Álvaro Soto, Unai López de Heredia
Publikováno v:
Current Bioinformatics. 15:420-430
Background: Bioinformatics software for RNA-seq analysis has a high computational requirement in terms of the number of CPUs, RAM size, and processor characteristics. Specifically, de novo transcriptome assembly demands large computational infrastruc
Autor:
M. V. Patsaeva, Igor Khatuntsev, Denis Belyaev, Oleg Korablev, Salvador Jiménez, Jose Luis Vazquez-Poletti, Ignacio M. Llorente, M. P. Velasco, Luis Vázquez, D. Usero
Publikováno v:
Communications on Applied Mathematics and Computation. 1:253-261
In this paper, we consider the implementation of the “cloud” computing strategy to study data sets associated to the atmospheric exploration of the planet Venus. More concretely, the Venus Monitoring Camera (VMC) onboard Venus Express orbiter pro
Autor:
David Pacios, José Luis Vázquez-Poletti, Dattaraj B. Dhuri, Dimitra Atri, Rafael Moreno-Vozmediano, Robert J. Lillis, Nikolaos Schetakis, Jorge Gómez-Sanz, Alessio Di Iorio, Luis Vázquez
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Remote sensing technologies are experiencing a surge in adoption for monitoring Earth’s environment, demanding more efficient and scalable methods for image analysis. This paper presents a new approach for the Emirates Mars Mission (Hope p
Externí odkaz:
https://doaj.org/article/95e861ced1df4cbbab7c21f310cffcc1
Publikováno v:
Molecular ecology resourcesReferences. 21(2)
The increase of sequencing capacity provided by high-throughput platforms has made it possible to routinely obtain large sets of genomic and transcriptomic sequences from model and non-model organisms. Subsequent genomic analysis and gene discovery i
Autor:
Luis Vázquez, Salvador Jiménez, Mina Mortazavi, M. P. Velasco, D. Usero, Jose Luis Vazquez-Poletti
Publikováno v:
Mathematics, ISSN 2227-7390, 2020, Vol. 8, No. 6
Archivo Digital UPM
Universidad Politécnica de Madrid
Mathematics, Vol 8, Iss 893, p 893 (2020)
Mathematics
Volume 8
Issue 6
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
E-Prints Complutense. Archivo Institucional de la UCM
instname
Archivo Digital UPM
Universidad Politécnica de Madrid
Mathematics, Vol 8, Iss 893, p 893 (2020)
Mathematics
Volume 8
Issue 6
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
E-Prints Complutense. Archivo Institucional de la UCM
instname
We present a partial panoramic view of possible contexts and applications of the fractional calculus. In this context, we show some different applications of fractional calculus to different models in ordinary differential equation (ODE) and partial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44793460260012b0bdf90f3fee32e261
http://oa.upm.es/63889/
http://oa.upm.es/63889/
Autor:
Sara Ignacio-Cerrato, David Pacios, José Miguel Ezquerro Rodriguez, José Luis Vázquez-Poletti, Nikolaos Schetakis, Konstantinos Stavrakakis, Alessio Di Iorio, María Estefanía Avilés Mariño
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102585- (2024)
This paper introduces a novel approach for encoding information in PDF documents or similar files. The proposed encoding involves a dual-step method: firstly, the information is encoded in base64, and subsequently, it is uploaded in a user-selected c
Externí odkaz:
https://doaj.org/article/d704a80f8a9845db9577702f10d3a5b9
Publikováno v:
Computer Physics Communications. 211:88-97
Markov Chain Monte Carlo (MCMC) methods are widely used in the field of simulation and modelling of materials, producing applications that require a great amount of computational resources. Cloud computing represents a seamless source for these resou
Publikováno v:
BCB
Currently, several factors are moving biomedical research towards a (big) data-centred science. This yields new challenges for computer science solutions when dealing with bioinformatics applications. Among others, efficient storage, preprocessing, i