Determination of unzipping step-size distribution using Hidden Markov Models

Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/67339

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DC Field	Value	Language
dc.contributor.advisor	Ritort Farran, Fèlix	-
dc.contributor.author	Montraveta Jiménez, Laia	-
dc.date.accessioned	2015-10-20T09:36:09Z	-
dc.date.available	2015-10-20T09:36:09Z	-
dc.date.issued	2015-01	-
dc.identifier.uri	http://hdl.handle.net/2445/67339	-
dc.description	Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutor: Félix Ritort	ca
dc.description.abstract	In 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.extent	5 p.	-
dc.format.mimetype	application/pdf	-
dc.language.iso	eng	ca
dc.rights	cc-by-nc-nd (c) Montraveta Jiménez, 2015	-
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	-
dc.source	Treballs Finals de Grau (TFG) - Física	-
dc.subject.classification	Processos de Markov	cat
dc.subject.classification	Biomolècules	cat
dc.subject.classification	Treballs de fi de grau	cat
dc.subject.other	Markov processes	eng
dc.subject.other	Biomolecules	eng
dc.subject.other	Bachelor's theses	eng
dc.title	Determination of unzipping step-size distribution using Hidden Markov Models	eng
dc.type	info:eu-repo/semantics/bachelorThesis	ca
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca
Appears in Collections:	Treballs Finals de Grau (TFG) - Física

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