prikaz prve stranice dokumenta Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela
Access restricted to students and staff of home institution
master's thesis
Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela
Zagreb: University of Zagreb, Faculty of Agriculture, 2019. urn:nbn:hr:204:839564
Katić, Iva
University of Zagreb
Faculty of Agriculture
Department of Animal Science I

Cite this document

Katić, I. (2019). Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:839564

Katić, Iva. "Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela." Master's thesis, University of Zagreb, Faculty of Agriculture, 2019. https://urn.nsk.hr/urn:nbn:hr:204:839564

Katić, Iva. "Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela." Master's thesis, University of Zagreb, Faculty of Agriculture, 2019. https://urn.nsk.hr/urn:nbn:hr:204:839564

Katić, I. (2019). 'Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:204:839564

Katić I. Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2019 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:204:839564

I. Katić, "Procjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:204:839564

Please login to the repository to save this object to your list.
Metadata
TitleProcjena DNA ROH segmenta pomoću metode skrivenog Markovljevog modela
Title (english)DNA ROH segment estimation using the hidden Markov model method
AuthorIva Katić
MentorMaja Ferenčaković (mentor)
Committee memberMaja Ferenčaković (predsjednik povjerenstva)
Committee memberVlatka Čubrić Čurik (član povjerenstva)
Committee memberIno Čurik (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Department of Animal Science I)
Zagreb
Defense date and country2019-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract
Run of homozygosity (ROH) se kao dugi neprekidni segmenti homozigotnih genotipova koji omogućuju pouzdanu procjenu razine inbreedinga danas koriste u raznim područjima. Pomoću ROH segmenata otkrivamo učinke autozigotnosti, no nepoznato je koji je program najoptimalniji. U ovom radu procjenjujemo ROH segmente softverom cgaTOH i paketom programa ''R studio'' zvanim ''RZooROH'' koji procjenjuje ROH segmente putem skrivenog Markovljevog Modela (HMM). HMM je model koji funkcionira na način popunjavanja missing SNP-ova, te u ovom radu možemo vidjeti na koji način se to odražava na koeficijent inbreedinga određenog ROH segmenta.
Abstract (english)
Run of homozygosity (ROH) is used as a long continuous segment of homozygous genotypes that allow reliable estimation of the level of inbreeding used in various fields today. Using ROH segments, we detect the effects of autozygosity, but it is unknown which program is the most optimal. In this paper, we evaluate ROH segments by cgaTOH software and an R studio program called "RZooROH" that evaluates runo f homozygosity segments via the hidden Markov Model (HMM). HMM is a model that works by filling in missing SNPs, and in this paper we can see how this reflects on the inbreeding coefficient of a given ROH segment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:839564
Study programmeTitle: Animal Genetics and Breeding
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja (magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryRepository Faculty of Agriculture University of Zagreb
Created on2019-11-20 10:59:04

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij