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master's thesis
Reducirana baza gena za precizno određivanje vrsta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:158846
Humski, Dorija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Humski, D. (2015). Reducirana baza gena za precizno određivanje vrsta (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:158846

Humski, Dorija. "Reducirana baza gena za precizno određivanje vrsta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:158846

Humski, Dorija. "Reducirana baza gena za precizno određivanje vrsta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:158846

Humski, D. (2015). 'Reducirana baza gena za precizno određivanje vrsta', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:158846

Humski D. Reducirana baza gena za precizno određivanje vrsta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2025 January 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:158846

D. Humski, "Reducirana baza gena za precizno određivanje vrsta", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:158846

Metadata
TitleReducirana baza gena za precizno određivanje vrsta
Title (english)A Reduced Gene Database for Precision Species Detection
AuthorDorija Humski
MentorMile Šikić (mentor)
Committee memberMile Šikić (predsjednik povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberMladen Vučić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U svrhu brze identifikacije vrsta, trenutne baze podataka bi se trebale remodelirati. Trenutne baze sadrže sekvence koje su slične jedne drugima, što dovodi do redundacije prilikom odredivanja vrsta te usporava cijeli proces. Prijedlog je da se baze podataka konvertiraju u takozvane Reducirane baze podataka. Reducirana baza podataka sadržavala bi informacije o značajnim sekvencama, a sve ostale sekvence bile bi skrivene iza za njih značajnih sekvenci. U ovom radu predložena su tri različita pristupa. Dva bazirana na hijerarhijskom grupiranju i jedan na particijskom grupi- ranju. Konačaj dizajn rada sadrži implementaciju pristupa baziranog na particijskom grupiranju, budući da se taj pristup pokazao kao najbolji.
Abstract (english)
For the purpose of a faster identification of sequences, the current database should be modeled in a different way. The current databases should be converted to the re- duced database. The reduced database is modeled in a way that at first it gives us information only about significant sequences, and all the other sequences are hidden behind their representative. We proposed three different approaches for creating re- duced database. Two of them incorporates hierachical clustering, while the third one is based on partitional clustering. Since the approach with partitional clustering has been shown as the best, our final design contains implementation of it. Two programs has been created, the Reducer and the Searcher. The Reducer creates a reduced database, while the Serchers search through the reduced database to find a new sequence.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:158846
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 09:13:36