Determination of unzipping step-size distribution using Hidden Markov Models

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dc.contributor.advisorRitort Farran, Fèlix
dc.contributor.authorMontraveta Jiménez, Laia
dc.date.accessioned2015-10-20T09:36:09Z
dc.date.available2015-10-20T09:36:09Z
dc.date.issued2015-01
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutor: Félix Ritortca
dc.description.abstractIn this paper we explain the unzipping experiment as well as the basic theory of hidden Markov models (HMM). Using a specific type of HMMs, variable step-size HMM, in which the quantized distance variable is represented by a large number of states of the Markov model we try to determine the size distribution of the steps in the unzipping process.ca
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/67339
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Montraveta Jiménez, 2015
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.sourceTreballs Finals de Grau (TFG) - Física
dc.subject.classificationProcessos de Markovcat
dc.subject.classificationBiomolèculescat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherMarkov processeseng
dc.subject.otherBiomoleculeseng
dc.subject.otherBachelor's theseseng
dc.titleDetermination of unzipping step-size distribution using Hidden Markov Modelseng
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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