dc.contributor.author | Ponte-Fernández, Christian | |
dc.contributor.author | González-Domínguez, Jorge | |
dc.contributor.author | Martín, María J. | |
dc.date.accessioned | 2023-12-18T11:57:11Z | |
dc.date.available | 2023-12-18T11:57:11Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Ponte-Fernández, C., González-Domínguez, J. & Martín, M.J. Fiuncho: a program for any-order epistasis detection in CPU clusters. J Supercomput 78, 15338–15357 (2022). https://doi.org/10.1007/s11227-022-04477-5 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/34530 | |
dc.description | Financiado para publicación en acceso aberto: CRUE/CISUG | es_ES |
dc.description.abstract | [Abstract]: Epistasis can be defined as the statistical interaction of genes during the expression of a phenotype. It is believed that it plays a fundamental role in gene expression, as individual genetic variants have reported a very small increase in disease risk in previous Genome-Wide Association Studies. The most successful approach to epistasis detection is the exhaustive method, although its exponential time complexity requires a highly parallel implementation in order to be used. This work presents Fiuncho, a program that exploits all levels of parallelism present in x86_64 CPU clusters in order to mitigate the complexity of this approach. It supports epistasis interactions of any order, and when compared with other exhaustive methods, it is on average 358, 7 and 3 times faster than MDR, MPI3SNP and BitEpi, respectively. | es_ES |
dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00 / AEI / 10.13039/501100011033), the Xunta de Galicia and FEDER funds of the EU (CITIC-Centro de Investigación de Galicia accreditation 2019–2022, Grant no. ED431G 2019/01), Consolidation Program of Competitive Research (Grant no. ED431C 2021/30), and the FPU Program of the Ministry of Education of Spain (Grant no. FPU16/01333). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2021/30 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation.uri | https://doi.org/10.1007/s11227-022-04477-5 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | GWAS | es_ES |
dc.subject | Epistasis | es_ES |
dc.subject | Any-order | es_ES |
dc.subject | MPI | es_ES |
dc.subject | SIMD | es_ES |
dc.subject | Multithreading | es_ES |
dc.title | Fiuncho: a program for any-order epistasis detection in CPU clusters | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
UDC.journalTitle | The Journal of Supercomputing | es_ES |
UDC.volume | 78 | es_ES |
UDC.startPage | 15338 | es_ES |
UDC.endPage | 15357 | es_ES |
dc.identifier.doi | 10.1007/s11227-022-04477-5 | |
UDC.coleccion | Investigación | es_ES |
UDC.departamento | Enxeñaría de Computadores | es_ES |
UDC.grupoInv | Grupo de Arquitectura de Computadores (GAC) | es_ES |
dc.relation.projectID | info: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 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU16%2F01333/ES/ | es_ES |