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dc.contributor.authorGonzález-Domínguez, Jorge
dc.contributor.authorMartín Martínez, José Manuel
dc.contributor.authorExpósito, Roberto R.
dc.date.accessioned2022-03-23T18:09:56Z
dc.date.available2022-03-23T18:09:56Z
dc.date.issued2022
dc.identifier.citationGonzález-Domínguez, J., Martín-Martínez, J.M. & Expósito, R.R. MPI-dot2dot: A parallel tool to find DNA tandem repeats on multicore clusters. J Supercomput 78, 4217–4235 (2022). https://doi.org/10.1007/s11227-021-04025-7es_ES
dc.identifier.issn1573-0484
dc.identifier.urihttp://hdl.handle.net/2183/30194
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract] Tandem Repeats (TRs) are segments that occur several times in a DNA sequence, and each copy is adjacent to other. In the last few years, TRs have gained significant attention as they are thought to be related with certain human diseases. Therefore, identifying and classifying TRs have become a highly important task in bioinformatics in order to analyze their disorders and relationships with illnesses. Dot2dot, a tool recently developed to find TRs, provides more accurate results than the previous state-of-the-art, but it requires a long execution time even when using multiple threads. This work presents MPI-dot2dot, a novel version of this tool that combines MPI and OpenMP so that it can be executed in a cluster of multicore nodes and thus reduces its execution time. The performance of this new parallel implementation has been tested using different real datasets. Depending on the characteristics of the input genomes, it is able to obtain the same biological results as Dot2dot but more than 100 times faster on a 16-node multicore cluster (384 cores). MPI-dot2dot is publicly available to download from https://sourceforge.net/projects/mpi-dot2dot.es_ES
dc.description.sponsorshipThis work was supported by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00 / AEI / 10.13039/501100011033), and by Xunta de Galicia and FEDER funds (Centro de Investigación de Galicia accreditation 2019-2022 and Consolidation Program of Competitive Reference Groups, under Grants ED431G 2019/01 and ED431C 2021/30, respectively). The authors would like to thank the Galician Supercomputing Center (CESGA) for providing access to the Finis Terrae II supercomputer. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Naturees_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/30es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104184RB-I00/ES/DESAFIOS ACTUALES EN HPC: ARQUITECTURAS, SOFTWARE Y APLICACIONES/
dc.relation.urihttps://doi.org/10.1007/s11227-021-04025-7es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTandem Repeates_ES
dc.subjectHigh Performance Computinges_ES
dc.subjectMPIes_ES
dc.subjectOpenMPes_ES
dc.subjectBioinformaticses_ES
dc.titleMPI-dot2dot: A Parallel Tool to Find DNA Tandem Repeats on Multicore Clusterses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleThe Journal of Supercomputinges_ES
UDC.volume78es_ES
UDC.startPage4217es_ES
UDC.endPage4235es_ES
dc.identifier.doi10.1007/s11227-021-04025-7


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