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master's thesis
Višestruko poravnavanje i HMM
Zagreb: University of Zagreb, Faculty of Science, 2015. urn:nbn:hr:217:789834
Stojković, Mihaela
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Stojković, M. (2015). Višestruko poravnavanje i HMM (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:789834

Stojković, Mihaela. "Višestruko poravnavanje i HMM." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:789834

Stojković, Mihaela. "Višestruko poravnavanje i HMM." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:789834

Stojković, M. (2015). 'Višestruko poravnavanje i HMM', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:789834

Stojković M. Višestruko poravnavanje i HMM [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2015 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:789834

M. Stojković, "Višestruko poravnavanje i HMM", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:217:789834

Metadata
TitleVišestruko poravnavanje i HMM
AuthorMihaela Stojković
MentorPavle Goldstein (mentor)
Committee memberPavle Goldstein (predsjednik povjerenstva)
Committee memberNikola Sarapa (član povjerenstva)
Committee memberMiljenko Marušić (član povjerenstva)
Committee memberBoris Guljaš (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Višestruko poravnavanje je važan objekt u bioinformatici jer daje puno informacija proteinskim familijama. U ovom radu smo vidjeli kako napraviti višestruko poravnanje pomoću skrivenog Markovljevog modela. Pokazuje se da su rezultati vrlo osjetljivi i ovisni o uzorku. Provedena je analiza kojom je iz početnog poravnanja procijenjen model, zatim je na nekoliko načina provedena simulacija i pokazalo se da distribucija “score”-ova jest Gumbelova kako smo i očekivali. Naposljetku je napravljeno novo poravnanje. Provedena parametrizacija modela je vrlo osjetljiva, pa dobiveni model ne omogućava daljnju analizu. Zbog toga pokušavamo postepeno graditi model od najboljih poravnanja, koja su i najmanje varijabilna, a kako smo vidjeli to je dobar način da izbjegnemo neke od problema na koje smo naišli.
Abstract (english)
Multiple sequence alignment is an important object in bioinformatics for obtaining information about protein families. In this thesis we show how to build a multiple sequence alignment using hidden Markov models. We have observed that the results are very sensitive to the choice of various parameters and sample biased. Analysis carried out consists of model estimation from given alignment, simulation and realigning. Distribution of scores is approximately Gumbel, as expected. Since parametrisation of a family profile is a very sensitive procedure, we gradually build a model using less variable subsamples. This method provides a good solution to avoid some of the obstacles we encountered.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:789834
Study programmeTitle: Mathematical Statistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-02-07 13:58:26