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master's thesis
Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2015. urn:nbn:hr:159:001355
Tomasović, Ante
University of Zagreb
Faculty of Food Technology and Biotechnology
Department of Biochemical Engineering
Section for Bioinformatics

Cite this document

Tomasović, A. (2015). Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote (Master's thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:001355

Tomasović, Ante. "Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2015. https://urn.nsk.hr/urn:nbn:hr:159:001355

Tomasović, Ante. "Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2015. https://urn.nsk.hr/urn:nbn:hr:159:001355

Tomasović, A. (2015). 'Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote', Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 17 April 2024, https://urn.nsk.hr/urn:nbn:hr:159:001355

Tomasović A. Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote [Master's thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2015 [cited 2024 April 17] Available at: https://urn.nsk.hr/urn:nbn:hr:159:001355

A. Tomasović, "Optimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote", Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:159:001355

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Metadata
TitleOptimizacija i usporedba algoritama za sravnjivanje kratkih sekvencija prote
Title (english)Optimization and comparison of algorithms for aligning of short protein sequences
AuthorAnte Tomasović
MentorAntonio Starčević (mentor)
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Biochemical Engineering)
(Section for Bioinformatics)
Zagreb
Defense date and country2015-07-20, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Biotechnology
Abstract
Razvojem novih metoda sekvencioniranja DNA i proteina, došlo je do naglog porasta broja podataka pohranjenih u javno dostupnim bazama. Glavninu tih podataka čine upravo nukleotidne i aminokiselinske sekvencije. Ključ pretraživanja rastućih baza podataka je u razvoju programa koji mogu brzo pretražiti i usporediti sekvencu upita sa sekvencama iz baze podataka. Najpopularniji takav program je BLAST, kojem se može pristupiti mrežno ili ga se može koristiti lokalno. BLAST kao takav nije dizajniran da pretražuje kratke peptidne sekvence (manje od 20 aminokiselina) ali ga se može koristiti u tu svrhu. Cilj ovog diplomskog rada jest usporedba rezultata pretraživanja kratkih aminokiselinskih sekvencija uz pomoć dva raspoloživa programska alata, riječ je o gore spomenutom BLAST-u i njegovoj alternativi nazvanoj RAPSearch2. U radu se uspoređivala brzina pretraživanja i preciznost pojedinog programa kako bi se ustvrdilo koji je program prikladniji u svrhu pretrage kratkih peptidnih sekvenci iz velikih baza podataka.
Abstract (english)
With the development of new methods for DNA and protein sequencing, there has been a rise in the number and quantity of known DNA and protein sequences. The key for searching through the large databases that contain those sequences is in the development of programs that can quickly compare a query sequence with those contained in a database. The most popular program for such a purpose is BLAST, which can be accessed by internet or it can be installed and accessed locally. The goal of the thesis was to compare the results of the search containing short protein sequences as query and carried out by two bioinformatic tools, namely BLAST and RAPSearch2. The speed of the search and the precision of the results obtained were compared in both cases. The purpose of this work was to find out which program is more suitable for querying short protein sequences against a large database.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:001355
Study programmeTitle: Molecular Biotechnology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka molekularne biotehnologije (magistar/magistra inženjer/inženjerka molekularne biotehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryRepository of the Faculty of Food Technology and Biotechnology
Created on2017-04-28 12:52:20

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