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master's thesis
Određivanje patogenih vrsta iz RNA sekvenciranih podataka
2014. urn:nbn:hr:168:613464
Šošić, Matija
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Šošić, M. (2014). Određivanje patogenih vrsta iz RNA sekvenciranih podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:613464

Šošić, Matija. "Određivanje patogenih vrsta iz RNA sekvenciranih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:613464

Šošić, Matija. "Određivanje patogenih vrsta iz RNA sekvenciranih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:613464

Šošić, M. (2014). 'Određivanje patogenih vrsta iz RNA sekvenciranih podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:613464

Šošić M. Određivanje patogenih vrsta iz RNA sekvenciranih podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 September 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:613464

M. Šošić, "Određivanje patogenih vrsta iz RNA sekvenciranih podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:613464

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Metadata
TitleOdređivanje patogenih vrsta iz RNA sekvenciranih podataka
Title (english)Identify pathogen organisms from a stream of RNA sequences
AuthorMatija Šošić
MentorMile Šikić (mentor)
Committee memberMile Šikić (predsjednik povjerenstva)
Committee memberMladen Vučić (član povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Metagenomika je zanimljivo novo znanstveno područje čiji je zadatak karakterizacija mikroskopskih zajednica živih organizama. Posebna važnost je u tome što većina mikroorganizama ne može biti uzgojena u laboratoriju, stoga nam metagenomika otkriva mnoge nepoznate vrste. Ovaj rad predstavlja taksonomski ovisnu i na poravnanju sekvenci na referentni genom temeljenu metodu za određivanje vrsta prisutnih u danom metagenomskom uzorku. Pristup se temelji na identifikaciji i analizi ribosomskih kodirajućih sekvenci za koje se smatra da su indikatori prisutnih vrsta. Rješenje radi s RNA sekvenciranim podacima i testirano je na stvarnom uzorku iz prirodnog okruženja.
Abstract (english)
Metagenomics is an interesting new field of science focused on characterization of microbial communities from environmental samples. It is especially important as many organisms cannot be cultivated in a laboratory and therefore can reveal previously unknown species. This thesis presents a taxonomy-dependent and alignment-based method for determining species present in a given metagenomic sample. Main premise is identification and analysis of ribosomal coding sequences which are considered to be indicators of presence of organisms. The solution works with RNA-seq data and is tested on a real dataset from an environmental sample.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:613464
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 12:21:50