Data analysis for 16S microbial profiling from different benchtop sequencing platforms

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dc.contributor.authorPylro, Victor S.
dc.contributor.authorRoesch, Luiz Fernando W.
dc.contributor.authorMorais, Daniel K.
dc.contributor.authorClark, Ian M.
dc.contributor.authorHirsch, Penny R.
dc.contributor.authorTótola, Marcos R.
dc.date.accessioned2018-04-06T09:51:17Z
dc.date.available2018-04-06T09:51:17Z
dc.date.issued2014-08-27
dc.description.abstractProgress in microbial ecology is confounded by problems when evaluating results from different sequencing methodologies. Contrary to existing expectations, here we demonstrate that the same biological conclusion is reached using different NGS technologies when stringent sequence quality filtering and accurate clustering algorithms are applied.en
dc.formatpdfpt-BR
dc.identifier.issn0167-7012
dc.identifier.urihttps://doi.org/10.1016/j.mimet.2014.08.018
dc.identifier.urihttp://www.locus.ufv.br/handle/123456789/18661
dc.language.isoengpt-BR
dc.publisherJournal of Microbiological Methodspt-BR
dc.relation.ispartofseriesVolume 107, Pages 30-37, December 2014pt-BR
dc.rightsOpen Accesspt-BR
dc.subjectNext generation sequencingpt-BR
dc.subjectMicrobial community analysispt-BR
dc.subjectAmpliconspt-BR
dc.subjectAlpha diversitypt-BR
dc.subjectBeta diversitypt-BR
dc.titleData analysis for 16S microbial profiling from different benchtop sequencing platformsen
dc.typeArtigopt-BR

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