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undergraduate thesis
Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:080614
Rivić Carević, Sara
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Rivić Carević, S. (2023). Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:080614

Rivić Carević, Sara. "Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:080614

Rivić Carević, Sara. "Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:080614

Rivić Carević, S. (2023). 'Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:080614

Rivić Carević S. Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:080614

S. Rivić Carević, "Klasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:080614

Metadata
TitleKlasifikacija nepoznatih organizama u simuliranom metagenomskom uzorku
Title (english)Classification of unknown organisms in a simulated metagenomic sample
AuthorSara Rivić Carević
MentorKrešimir Križanović (mentor)
Committee memberKrešimir Križanović (predsjednik povjerenstva)
Committee memberJosipa Lipovac (član povjerenstva)
Committee memberFilip Tomas (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Velikom primjenom bioinformatike i metagenomike, ovo istraživanje se fokusiralo na klasifikaciju nepoznatih organizama u simuliranim metagenomskim podatcima. Korištenjem naprednih alata i algoritama, analizirane su genetske sekvence kako bi identificirali i klasificirali različite bakterijske taksonomske jedinice. Uz pomoć tri ključne baze podataka, kombiniranjem podataka o sekvencama s referentnim informacijama, uspješno smo pružili uvid u složene mikrobne zajednice prisutne u metagenomima.
Abstract (english)
Using bioinformatics and metagenomics to a wide extent, this research focuses on the classification of unknown microorganisms in a set of simulated metagenomic data. Genetic sequences were analysed with advanced tools and algorithms in order to identify and classify different bacterial taxonomic units. Such tools have ultimately combined acquired data related to the genomic sequences with the appropriate references by using three key data bases in order to provide further insight into complex microbial communities that are present in metagenomic samples.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:080614
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 10:21:15