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master's thesis
Iterativno traženje motiva i vreća fraza u genomu i proteomu
Zagreb: University of Zagreb, Faculty of Science, 2021. urn:nbn:hr:217:862542
Ramov, Laura
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Ramov, L. (2021). Iterativno traženje motiva i vreća fraza u genomu i proteomu (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:862542

Ramov, Laura. "Iterativno traženje motiva i vreća fraza u genomu i proteomu." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:862542

Ramov, Laura. "Iterativno traženje motiva i vreća fraza u genomu i proteomu." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:862542

Ramov, L. (2021). 'Iterativno traženje motiva i vreća fraza u genomu i proteomu', Master's thesis, University of Zagreb, Faculty of Science, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:217:862542

Ramov L. Iterativno traženje motiva i vreća fraza u genomu i proteomu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2021 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:217:862542

L. Ramov, "Iterativno traženje motiva i vreća fraza u genomu i proteomu", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:217:862542

Metadata
TitleIterativno traženje motiva i vreća fraza u genomu i proteomu
Title (english)Iterative search for motifs and phrase bags in the genome and proteome
AuthorLaura Ramov
MentorPavle Goldstein (mentor)
Committee memberNela Bosner (predsjednik povjerenstva)
Committee memberFranka Miriam Brückler (član povjerenstva)
Committee memberPavle Goldstein (član povjerenstva)
Committee memberMarko Erceg (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2021-03-04, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Napretkom bioinformatike i pronalaskom novih neopisanih proteina javlja se sve veća potreba za novim metodama klasifikacije proteina. U ovom diplomskom radu prezentirali smo dvije metode klasifikacije. Razvili smo i opisali metodu reduciranog alfabeta te proveli all against all metodu. Svaka od tih metoda proizvela je 10-15 motiva za svaku proteinsku familiju pomoću kojih smo klasificirali članove familija.
Abstract (english)
Advances in bioinformatics and the discovery of new protein families increases the need for new protein classification methods. In this thesis we presented two classification methods. We developed and described the reduced alphabet method, and we carried out an all-against-all search. Both methods produced 10-15 motifs for each protein family, which were then used to classify members.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:862542
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 on2021-03-25 13:16:11