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

dc.creatorPylro, Victor S.
dc.creatorRoesch, Luiz Fernando W.
dc.creatorMorais, Daniel K.
dc.creatorClark, Ian M.
dc.creatorHirsch, Penny R.
dc.creatorTótola, Marcos R.
dc.date2018-04-06T09:51:17Z
dc.date2018-04-06T09:51:17Z
dc.date2014-08-27
dc.date.accessioned2023-09-27T20:36:40Z
dc.date.available2023-09-27T20:36:40Z
dc.identifier0167-7012
dc.identifierhttps://doi.org/10.1016/j.mimet.2014.08.018
dc.identifierhttp://www.locus.ufv.br/handle/123456789/18661
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8944863
dc.descriptionProgress 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.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherJournal of Microbiological Methods
dc.relationVolume 107, Pages 30-37, December 2014
dc.rightsOpen Access
dc.subjectNext generation sequencing
dc.subjectMicrobial community analysis
dc.subjectAmplicons
dc.subjectAlpha diversity
dc.subjectBeta diversity
dc.titleData analysis for 16S microbial profiling from different benchtop sequencing platforms
dc.typeArtigo


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