Hybrid MPI/OpenMP Implementation of RIblast for Transcriptome-Scale lncRNA–RNA Interaction Prediction

UDC.coleccionInvestigación
UDC.departamentoEnxeñaría de Computadores
UDC.endPage189
UDC.grupoInvGrupo de Arquitectura de Computadores (GAC)
UDC.inbookTitleRNA-RNA and RNA-DNA Interactions
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage175
dc.contributor.authorAmatria Barral, Iñaki
dc.contributor.authorGonzález-Domínguez, Jorge
dc.contributor.authorTouriño, Juan
dc.date.accessioned2025-11-18T12:50:42Z
dc.date.available2025-11-18T12:50:42Z
dc.date.issued2025-11-01
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-1-0716-4670-0_10
dc.description.abstract[Abstract]: Because the identification of RNA interaction partners for each long noncoding RNA (lncRNA) has proven to be a powerful approach for inferring lncRNA functions, numerous tools have been developed to predict lncRNA–RNA interactions. However, their application at the transcriptome scale has been hindered by high computational costs. In this chapter, we introduce pRIblast, a hybrid MPI/OpenMP implementation of the RIblast algorithm designed for large-scale lncRNA–RNA interaction analyses. pRIblast leverages cluster environments and supercomputing facilities to reduce the computational costs of these studies dramatically. Moreover, pRIblast has been thoroughly optimized, and it can take on huge datasets that were impossible to analyze with the former RIblast algorithm.
dc.description.sponsorshipWe sincerely thank Dr. Michiaki Hamada, Dr. Tsukasa Fukunaga, and Dr. Chao Zeng for inviting us to write this chapter for Methods in Molecular Biology. This work was supported by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00/AEI/10.13039/501100011033), by the Ministry of Education of Spain (FPU21/00491), and by Xunta de Galicia (Consolidation Program of Competitive Reference Groups, ref. ED431C 2021/30).
dc.description.sponsorshipXunta de Galicia; ED431C 2021/30
dc.identifier.citationAmatria-Barral, I., González-Domínguez, J., Touriño, J. (2026). Hybrid MPI/OpenMP Implementation of RIblast for Transcriptome-Scale lncRNA–RNA Interaction Prediction. In: Hamada, M., Fukunaga, T., Zeng, C. (eds) RNA-RNA and RNA-DNA Interactions. Methods in Molecular Biology, vol 2949. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-4670-0_10
dc.identifier.doi10.1007/978-1-0716-4670-0_10
dc.identifier.isbn978-1-0716-4670-0
dc.identifier.issn1940-6029
dc.identifier.urihttps://hdl.handle.net/2183/46486
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.projectIDinfo: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.projectIDinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/FPU21%2F00491/ES/
dc.relation.urihttps://doi.org/10.1007/978-1-0716-4670-0_10
dc.rights© 2026 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
dc.rights.accessRightsembargoed access
dc.subjectlncRNA
dc.subjectlncRNA–RNA interaction
dc.subjectTranscriptome-scale analysis
dc.subjectHigh-performance computing
dc.subjectMPI
dc.subjectOpenMP
dc.titleHybrid MPI/OpenMP Implementation of RIblast for Transcriptome-Scale lncRNA–RNA Interaction Prediction
dc.typebook part
dspace.entity.typePublication
relation.isAuthorOfPublication84d13059-7f4b-4cb5-ac65-0e07a77271f0
relation.isAuthorOfPublication86e306a5-99a1-4c43-8faa-720f0a9f0a34
relation.isAuthorOfPublication.latestForDiscovery84d13059-7f4b-4cb5-ac65-0e07a77271f0

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