Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure

This work presents a distributed computing algorithm over volunteer grid/cloud computing systems for Fluorescence Correlation Spectroscopy, a computational biology technique for obtaining quantitative information about the motion of molecules in living cells. High performance computing is needed to...

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Detalles Bibliográficos
Autor principal: Da Silva, M.
Otros Autores: Nesmachnow, S., Geier, M., Mocskos, E., Angiolini, J., Levi, V., Cristobal, A., Storti M., Hernandez G., Perez-Acle T., Vazquez M., Hernandez C.J.B, Diaz G., Garino C.G, Nesmachnow S.
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: Springer Verlag 2014
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
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040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
100 1 |a Da Silva, M. 
245 1 0 |a Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure 
260 |b Springer Verlag  |c 2014 
270 1 0 |m Da Silva, M.; Universidad de la RepúblicaUruguay 
506 |2 openaire  |e Política editorial 
504 |a Anderson, D., BOINC: A system for public-resource computing and storage (2004) 5th Int. Workshop on Grid Computing, pp. 4-10. , Pittsburgh, USA 
504 |a Anderson, D., Fedak, G., The computational and storage potential of volunteer computing (2006) 6th Int. Symp. on Cluster Computing and the Grid, pp. 73-80 
504 |a Bartol, T., Land, B., Salpeter, E., Salpeter, M., Monte carlo simulation of miniature endplate current generation in the vertebrate neuromuscular junction (1991) Biophys J, 59 (6), pp. 1290-1307 
504 |a Buyya, R., Broberg, J., Goscinski, A.M., (2011) Cloud Computing Principles and Paradigms, , Wiley Publishing 
504 |a Cirne, W., Brasileiro, F., Andrade, N., Costa, L., Andrade, A., Novaes, R., Mowbray, M., Labs of the world, unite! (2006) Journal of Grid Computing, 4 (3), pp. 225-246 
504 |a Dix, J., Hom, E., Verkman, A., Fluorescence Correlation Spectroscopy Simulations of Photophysical Phenomena and Molecular Interactions: A Molecular Dynamics- Monte Carlo Approach (2006) J. Phys. Chem. B, 110 (4), pp. 1896-1906 
504 |a Elson, E.L., Fluorescence correlation spectroscopy: Past, present, future (2011) Biophys J, 101 (12), pp. 2855-2870 
504 |a Foster, I., Zhao, Y., Raicu, I., Lu, S., Cloud Computing and Grid Computing 360- Degree Compared (2008) Grid Computing Environments Workshop, pp. 1-10 
504 |a Haustein, E., Schwille, P., Ultrasensitive investigations of biological systems by fluorescence correlation spectroscopy (2003) Methods, 29 (2), pp. 153-166 
504 |a Joseph, J., Fellenstein, C., (2003) Grid Computing, , Prentice Hall PTR, Upper Saddle River 
504 |a Kerr, R., Bartol, T., Kaminsky, B., Dittrich, M., Chang, J., Baden, S., Sejnowski, T., Stiles, J., Fast Monte Carlo simulation methods for biological reaction-diffusion systems in solution and on surfaces (2008) SIAM Journal on Scientific Computing, 30 (6), pp. 3126-3149 
504 |a Lidke, D.S., Wilson, B.S., Caught in the act: Quantifying protein behaviour in living cells (2009) Trends in Cell Biology, 19 (11), pp. 566-574 
504 |a Lippincott, J., Altan, N., Patterson, G., Photobleaching and photoactivation: Following protein dynamics in living cells (2003) Nat. Cell Biol. Suppl 
504 |a Martínez, E., Marian, J., Kalos, M., Perlado, J., Synchronous parallel kinetic Monte Carlo for continuum diffusion-reaction systems (2008) J. Comp. Phys, 227 (8), pp. 3804-3823 
504 |a Meriney, S., Dittrich, M., Organization and function of transmitter release sites at the neuromuscular junction (2013) The Journal of Physiology, 591 (13), pp. 3159-3165 
504 |a Molnár, F., Izsák, F., Mészáros, R., Lagzi, I., Simulation of reaction-diffusion processes in three dimensions using CUDA (2011) Chemometrics and Intelligent Laboratory Systems, 108 (1), pp. 76-85 
504 |a Nov, O., Anderson, D., Arazy, O., Volunteer computing: A model of the factors determining contribution to community-based scientific research (2010) 19th Int. Conf. on World Wide Web, pp. 741-750 
504 |a Stiles, J.R., Bartol, T.M., (2001) Monte Carlo methods for simulating realistic synaptic microphysiology using MCell, ch, 4, pp. 87-127. , CRC Press 
504 |a Stiles, J.R., Van Helden, D., Bartol, T.M., Salpeter, E.E., Salpeter, M.M., Miniature endplate current rise times less than 100 microseconds from improved dual recordings can be modeled with passive acetylcholine diffusion from a synaptic vesicle (1996) Proc. Natl. Acad. Sci. USA, 93 (12), pp. 5747-5752 
504 |a Van Zon, J., Ten Wolde, P., Simulating biochemical networks at the particle level and in time and space: Green’s function reaction dynamics (2005) Phys. Rev. Lett, 94 (12), p. 128103A4 - Intel; NVidia; Seagate; Siasa 
520 3 |a This work presents a distributed computing algorithm over volunteer grid/cloud computing systems for Fluorescence Correlation Spectroscopy, a computational biology technique for obtaining quantitative information about the motion of molecules in living cells. High performance computing is needed to cope with large computing times when performing complex simulations, and volunteer grid/cloud computing emerges as a powerful paradigm to solve this kind of problems by coordinately using many computing resources distributed around the world. The proposed algorithm applies a domain decomposition technique for performing many simulations using different cell models at the same time. The experimental evaluation performed on a volunteer distributing computing infrastructure demonstrates that efficient execution times are obtained when using OurGrid middleware. © Springer-Verlag Berlin Heidelberg 2014.  |l eng 
536 |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, PIP GI 11220110100379 
593 |a Universidad de la República, Uruguay 
593 |a Departamento de Computación, Universidad de Buenos Aires, Argentina 
593 |a Departamento de Química Biológica-IQUIBICEN, Universidad de Buenos Aires, Argentina 
593 |a Universidad Veracruzana, Mexico 
690 1 0 |a FLUORESCENCE ANALYSIS 
690 1 0 |a GRID/CLOUD COMPUTING 
690 1 0 |a VOLUNTEER COMPUTING 
690 1 0 |a ALGORITHMS 
690 1 0 |a BIOINFORMATICS 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a DOMAIN DECOMPOSITION METHODS 
690 1 0 |a FLUORESCENCE 
690 1 0 |a FLUORESCENCE MICROSCOPY 
690 1 0 |a FLUORESCENCE SPECTROSCOPY 
690 1 0 |a MIDDLEWARE 
690 1 0 |a SPECTROSCOPIC ANALYSIS 
690 1 0 |a DOMAIN DECOMPOSITION TECHNIQUES 
690 1 0 |a EXPERIMENTAL EVALUATION 
690 1 0 |a FLUORESCENCE ANALYSIS 
690 1 0 |a FLUORESCENCE CORRELATION SPECTROSCOPY 
690 1 0 |a GRID/CLOUD COMPUTING 
690 1 0 |a HIGH PERFORMANCE COMPUTING 
690 1 0 |a QUANTITATIVE INFORMATION 
690 1 0 |a VOLUNTEER COMPUTING 
690 1 0 |a DISTRIBUTED COMPUTER SYSTEMS 
700 1 |a Nesmachnow, S. 
700 1 |a Geier, M. 
700 1 |a Mocskos, E. 
700 1 |a Angiolini, J. 
700 1 |a Levi, V. 
700 1 |a Cristobal, A. 
700 1 |a Storti M. 
700 1 |a Hernandez G. 
700 1 |a Perez-Acle T. 
700 1 |a Vazquez M. 
700 1 |a Hernandez C.J.B. 
700 1 |a Diaz G. 
700 1 |a Garino C.G. 
700 1 |a Nesmachnow S. 
711 2 |d 20 October 2014 through 22 October 2014  |g Código de la conferencia: 109059 
773 0 |d Springer Verlag, 2014  |g v. 485  |h pp. 113-127  |p Commun. Comput. Info. Sci.  |n Communications in Computer and Information Science  |x 18650929  |z 9783662454824  |t 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014 
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