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Impact of analytic provenance in genome analysis

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Impact of analytic provenance in genome analysis

dc.contributor.author	Morrison, S.S.
dc.contributor.author	Pyzh, R.
dc.contributor.author	Jeon, M.S.
dc.contributor.author	Amaro González, Carmen
dc.contributor.author	Roig Molina, Francisco José
dc.contributor.author	Baker-Austin, Craig
dc.contributor.author	Oliver, James D.
dc.contributor.author	Gibas, C.J.
dc.date.accessioned	2015-12-04T12:18:26Z
dc.date.available	2015-12-04T12:18:26Z
dc.date.issued	2014
dc.identifier.citation	Morrison, S.S. Pyzh, R. Jeon, M.S. Amaro González, Carmen Roig Molina, Francisco José Baker-Austin, Craig Oliver, James D. Gibas, C.J. 2014 Impact of analytic provenance in genome analysis Bmc Genomics 14 8 1 11
dc.identifier.uri	http://hdl.handle.net/10550/48924
dc.description.abstract	Many computational methods are available for assembly and annotation of newly sequenced microbial genomes. However, when new genomes are reported in the literature, there is frequently very little critical analysis of choices made during the sequence assembly and gene annotation stages. These choices have a direct impact on the biologically relevant products of a genomic analysis - for instance identification of common and differentiating regions among genomes in a comparison, or identification of enriched gene functional categories in a specific strain. Here, we examine the outcomes of different assembly and analysis steps in typical workflows in a comparison among strains of Vibrio vulnificus.
dc.language.iso	eng
dc.relation.ispartof	Bmc Genomics, 2014, vol. 14, num. 8, p. 1-11
dc.subject	Bacteris patògens
dc.subject	Microbiologia
dc.title	Impact of analytic provenance in genome analysis
dc.type	journal article	es_ES
dc.date.updated	2015-12-04T12:18:26Z
dc.identifier.doi	10.1186/1471-2164-15-S8-S1
dc.identifier.idgrec	104777
dc.rights.accessRights	open access	es_ES