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dc.contributor.authorPulido-Tamayo, S.es_ES
dc.contributor.authorDubey, A.es_ES
dc.contributor.authorSwings, T.es_ES
dc.contributor.authorFostier, J.es_ES
dc.contributor.authorVan Den Bergh, B.es_ES
dc.contributor.authorSteenackers, H.es_ES
dc.contributor.authorSanchez Rodriguez, A.es_ES
dc.contributor.authorMichiels, J.es_ES
dc.contributor.authorMarchal, K.es_ES
dc.date.accessioned2017-06-16T22:02:44Z-
dc.date.available2017-06-16T22:02:44Z-
dc.date.issued2015-04-29es_ES
dc.date.submitted29/04/2015es_ES
dc.identifier10.1093/nar/gkv478es_ES
dc.identifier.isbn3051048es_ES
dc.identifier.other10.1093/nar/gkv478es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18977-
dc.description.abstractClonal populations accumulate mutations over time, resulting in different haplotypes. Deep sequencing of such a population in principle provides information to reconstruct these haplotypes and the frequency at which the haplotypes occur. However, this reconstruction is technically not trivial, especially not in clonal systems with a relatively low mutation frequency. The low number of segregating sites in those systems adds ambiguity to the haplotype phasing and thus obviates the reconstruction of genome-wide haplotypes based on sequence overlap information. Therefore, we present EVORhA, a haplotype reconstruction method that complements phasing information in the non-empty read overlap with the frequency estimations of inferred local haplotypes. As was shown with simulated data, as soon as read lengths and/or mutation rates become restrictive for state-of-the-art methods, the use of this additional frequency information allows EVORhA to still reliably reconstruct genome-wide haplotypes. On real data, we show the applicability of the method in reconstructing the population composition of evolved bacterial populations and in decomposing mixed bacterial infections from clinical samples. © 2015 The Author(s).es_ES
dc.languageIngléses_ES
dc.titleFrequency-based haplotype reconstruction from deep sequencing data of bacterial populationses_ES
dc.typeArticlees_ES
dc.publisherNucleic Acids Researches_ES
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