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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/23225
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dc.contributor.authorRaquel Dias-
dc.contributor.authorXAVIER, M.G.-
dc.contributor.authorROSSI, F.D.-
dc.contributor.authorNEVES, M.V.-
dc.contributor.authorLANGE, T.A.P.-
dc.contributor.authorAdriana Giongo-
dc.contributor.authorCesar Augusto Fonticielha De Rose-
dc.contributor.authorTRIPLETT, E.W.-
dc.date.accessioned2022-10-28T17:18:45Z-
dc.date.available2022-10-28T17:18:45Z-
dc.date.issued2014-
dc.identifier.issn0219-7200-
dc.identifier.urihttps://hdl.handle.net/10923/23225-
dc.language.isoen-
dc.relation.ispartofJournal of Bioinformatics and Computational Biology (Print)-
dc.rightsopenAccess-
dc.subjectModelagem de Programas Paralelos-
dc.subjectAvaliação de Desempenho em Programas Paralelos-
dc.subjectProgramação Paralela-
dc.titleMPI-blastn and NCBI-TaxCollector: Improving metagenomic analysis with high performance classification and wide taxonomic attachment-
dc.typeArticle-
dc.date.updated2022-10-28T17:18:43Z-
dc.identifier.doiDOI:10.1142/s0219720014500139-
dc.jtitleJournal of Bioinformatics and Computational Biology (Print)-
dc.volume12-
dc.issue03-
dc.spage1450013-
dc.epage17-
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