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FaST-LMM for two-way Epistasis tests on high performance clusters

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FaST-LMM for two-way Epistasis tests on high performance clusters

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dc.contributor.author Martínez, Héctor es_ES
dc.contributor.author Barrachina, Sergio es_ES
dc.contributor.author Castillo, Maribel es_ES
dc.contributor.author Quintana Ortí, Enrique Salvador es_ES
dc.contributor.author Rambla de Argila, Jordi es_ES
dc.contributor.author Farre, Xavier es_ES
dc.contributor.author Navarro, Arcadi es_ES
dc.date.accessioned 2020-09-12T03:33:53Z
dc.date.available 2020-09-12T03:33:53Z
dc.date.issued 2018-08 es_ES
dc.identifier.issn 1066-5277 es_ES
dc.identifier.uri http://hdl.handle.net/10251/149916
dc.description.abstract [EN] We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear on 12-16 nodes of two recent platforms, with respect to improved implementation of FaST-LMM presented in an earlier work. This efficiency is attained through several enhancements on the original single-node version of FaST-LMM, together with the development of a message passing interface (MPI)-based version that ensures a balanced distribution of the workload as well as a multigraphics processing unit (GPU) module that can exploit the presence of multiple GPUs per node. es_ES
dc.description.sponsorship The researchers from the Universitat Jaume I were supported by projects TIN2014-53495-R and TIN2017-82972-R of the MINECO and FEDER. es_ES
dc.language Inglés es_ES
dc.publisher Mary Ann Liebert es_ES
dc.relation.ispartof Journal of Computational Biology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Clusters of computers es_ES
dc.subject Epistasis es_ES
dc.subject FaST-LMM es_ES
dc.subject Genome-wide association studies (GWAS) es_ES
dc.subject GPUs es_ES
dc.subject Multicore processors es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title FaST-LMM for two-way Epistasis tests on high performance clusters es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1089/cmb.2018.0087 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/WT/Genetics, Genomics and Population Research/076113/The genetics of weight, BMI, adiposity and obesity/
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-53495-R/ES/COMPUTACION HETEROGENEA DE BAJO CONSUMO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-82972-R/ES/TECNICAS ALGORITMICAS PARA COMPUTACION DE ALTO RENDIMIENTO CONSCIENTE DEL CONSUMO ENERGETICO Y RESISTENTE A ERRORES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Martínez, H.; Barrachina, S.; Castillo, M.; Quintana Ortí, ES.; Rambla De Argila, J.; Farre, X.; Navarro, A. (2018). FaST-LMM for two-way Epistasis tests on high performance clusters. Journal of Computational Biology. 25(8):862-870. https://doi.org/10.1089/cmb.2018.0087 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1089/cmb.2018.0087 es_ES
dc.description.upvformatpinicio 862 es_ES
dc.description.upvformatpfin 870 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 8 es_ES
dc.identifier.pmid 30020811 es_ES
dc.relation.pasarela S\381012 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Wellcome Trust
dc.contributor.funder Agencia Estatal de Investigación es_ES


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