Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1102528
Full metadata record
DC FieldValueLanguage
dc.contributor.authorALMEIDA, A. L.
dc.contributor.authorSCHETTINO, V. J.
dc.contributor.authorBARBOSA, T. J. R.
dc.contributor.authorFREITAS, P. F.
dc.contributor.authorGUIMARÃES, P. G. S.
dc.contributor.authorARBEX, W. A.
dc.date.accessioned2018-12-26T23:42:22Z-
dc.date.available2018-12-26T23:42:22Z-
dc.date.created2018-12-26
dc.date.issued2018
dc.identifier.citationRevista de Informática Teórica e Aplicada, v. 25, n. 2, p. 93-100, 2018.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1102528-
dc.descriptionAbstract Genotype data manipulation is one of the greatest challenges in bioinformatics and genomics mainly because of high dimensionality and unbalancing characteristics. These peculiarities explains why Relational Database Management Systems (RDBMSs), the "de facto" standard storage solution, have not been presented as the best tools for this kind of data. However, Big Data has been pushing the development of modern database systems that might be able to overcome RDBMSs deficiencies. In this context, we extended our previous works on the evaluation of relative performance among NoSQLs engines from different families, adapting the schema design in order to achieve better performance based on its conclusions, thus being able to store more SNP markers for each individual. Using Yahoo! Cloud Serving Benchmark (YCSB) benchmark framework, we assessed each database system over hypothetical SNP sequences. Results indicate that although Tarantool has the best overall throughput, MongoDB is less impacted by the increase of SNP markers per individual.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDatabase
dc.subjectNoSQL
dc.subjectData Science
dc.subjectSNP
dc.titleRelative scalability of NoSQL databases for genotype data manipulation.
dc.typeArtigo de periódico
dc.date.updated2018-12-26T23:42:22Zpt_BR
dc.subject.nalthesaurusBioinformatics
dc.subject.nalthesaurusGenotype
riaa.ainfo.id1102528
riaa.ainfo.lastupdate2018-12-26
dc.identifier.doi10.22456/2175-2745.79334
dc.contributor.institutionWAGNER ANTONIO ARBEX, CNPGL.
Appears in Collections:Artigo em periódico indexado (CNPGL)

Files in This Item:
File Description SizeFormat 
ArtigoRevInfTeorAplArbexRelative.pdf251.44 kBAdobe PDFThumbnail
View/Open
Show simple item record

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace