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dc.contributor.authorHONGO, J.pt_BR
dc.contributor.authorCASTRO, G.pt_BR
dc.contributor.authorSILVA, F.pt_BR
dc.contributor.authorCINTRA, L.pt_BR
dc.contributor.authorZERLOTINI, A.pt_BR
dc.contributor.authorLOBO, F.pt_BR
dc.date.accessioned2013-01-28T11:11:11Zpt_BR
dc.date.available2013-01-28T11:11:11Zpt_BR
dc.date.created2013-01-28pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/946632pt_BR
dc.descriptionThe search for positive selection is also highly parallelizable, since each group of homologous can be analyzed independently. Here we describe POTION (POsitive selecTION), a massively parallel software to automatically detect positive selection on genomic scale data, ideal for analysis of large datasets in cluster infrastructurespt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectBioinformáticapt_BR
dc.subjectGenômicapt_BR
dc.titlePOTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets.pt_BR
dc.typeResumo em anais e proceedingspt_BR
dc.date.updated2020-01-22T11:11:11Zpt_BR
dc.subject.nalthesaurusBioinformaticspt_BR
dc.subject.nalthesaurusComputer softwarept_BR
dc.subject.nalthesaurusGenomicspt_BR
dc.description.notesX-MEETING 2012.pt_BR
dc.format.extent2Não paginado.pt_BR
riaa.ainfo.id946632pt_BR
riaa.ainfo.lastupdate2020-01-22 -02:00:00pt_BR
dc.contributor.institutionJORGE HONGO, Unicamp; GIOVANNI CASTRO, Estagiário do CNPTIA; FELIPE RODRIGUES DA SILVA, CNPTIA; LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA.pt_BR
Aparece en las colecciones:Resumo em anais de congresso (CNPTIA)

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