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undergraduate thesis
Klasifikacija metagenomskog uzorka pomoću alata za mapiranje
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:418183
Madžarac, Tea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Madžarac, T. (2023). Klasifikacija metagenomskog uzorka pomoću alata za mapiranje (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:418183

Madžarac, Tea. "Klasifikacija metagenomskog uzorka pomoću alata za mapiranje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:418183

Madžarac, Tea. "Klasifikacija metagenomskog uzorka pomoću alata za mapiranje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:418183

Madžarac, T. (2023). 'Klasifikacija metagenomskog uzorka pomoću alata za mapiranje', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:418183

Madžarac T. Klasifikacija metagenomskog uzorka pomoću alata za mapiranje [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:168:418183

T. Madžarac, "Klasifikacija metagenomskog uzorka pomoću alata za mapiranje", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:418183

Metadata
TitleKlasifikacija metagenomskog uzorka pomoću alata za mapiranje
Title (english)Metagenomic sample classification using mapping tools
AuthorTea Madžarac
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 country2023-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Metagenomika je relativno nova grana bioinformatike koja se bavi proučavanjem genetskih uzoraka prikupljenih direktno iz okoliša te nam nudi mogućnost primjene stečenog znanja u mnogim područjima, među kojima su medicina, agrikultura i ekologija. Jedan od osnovnih koraka u analizi metagenomskog uzorka je određivanje organizama koji se u njemu nalaze te njihove zastupljenosti u uzorku. Iz toga razloga važno je koristiti dobre alate za klasifikaciju. Ovaj rad bavi se osmišljavanjem algoritma koji na temelju mapiranja pokušava odrediti sastav uzorka. Pomoću alata Kraken2 izgradile su se dvije baze bakterija te se na njih mapiraju očitanja korištenjem alata minimap2. Nad dobivenim mapiranjima provela se klasifikacija pomoću osmišljenog algoritma te su dobiveni rezultati uspoređeni s rezultatima klasifikacije dobivenim uporabom alata Kraken2.
Abstract (english)
Metagenomics is a relatively new branch of bioinformatics that focuses on studying genetic samples collected directly from the environment. It has potential to be used to improve various fields, such as medicine, agriculture and ecology. One of the fundamental steps in analyzing a metagenomic samlple is determining the organisms present in the sample. Therefore, it is important to use reliable classification tools. This paper involves the development o fan algorithm that utilizes mapping to determine the composition of a sample. First, two custom bacterial databases we constructed using the Kraken 2 tool, and the reads were mapped onto these databases using the tool Minimap 2. Classification was performed based on the generated mappings using the developed algorithm, and the results were compared with the classification results obtained using the Kraken2 tool.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:418183
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 on2023-07-13 10:17:18