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master's thesis
Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2020. urn:nbn:hr:159:579511
Prskalo, Katarina
University of Zagreb
Faculty of Food Technology and Biotechnology
Department of Biochemical Engineering
Section for Bioinformatics

Institutional repository: Repository of the Faculty of Food Technology and Biotechnology

Cite this document

Prskalo, K. (2020). Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu (Master's thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:579511

Prskalo, Katarina. "Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2020. https://urn.nsk.hr/urn:nbn:hr:159:579511

Prskalo, Katarina. "Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2020. https://urn.nsk.hr/urn:nbn:hr:159:579511

Prskalo, K. (2020). 'Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu', Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:159:579511

Prskalo K. Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2020 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:159:579511

K. Prskalo, "Izrada računalnih alata za analizu podataka o crijevnom mikrobiomu", Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:159:579511

Metadata
TitleIzrada računalnih alata za analizu podataka o crijevnom mikrobiomu
Title (english)Development of computer tools for gut microbiome data analysis
AuthorKatarina Prskalo
MentorJanko Diminić (mentor)
Committee memberJurica Žučko (predsjednik povjerenstva)
: 74534184539
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Biochemical Engineering)
(Section for Bioinformatics)
Zagreb
Defense date and country2020-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Biotechnology
Abstract
Zbog napretka tehnologije sekvenciranja došlo je do eksponencijalnog rasta broja mikrobnih sekvenci u bazama podataka, a metagenomskom analizom dobivaju se kompleksni podaci o taksonomskim profilima i metaboličkim funkcijama. Obrada podataka je sve veći izazov stoga postoji potreba za razvojem računalnih alata koji će olakšati i skratiti vrijeme utrošeno na analize koje je moguće automatizirati. Programski alat razvijen u sklopu ovog diplomskog rada omogućuje grafički prikaz i statističku obradu podataka dobivenih metagenomskom analizom pomoću MetaPhlAn alata. Programski alat napisan je programskim jezikom Python te sadrži pet programa koji vrše obradu podataka i jedan testni program u kojem je moguće testirati funkcionalnosti ostalih. Programi uzimaju različite parametre s kojima je moguće mijenjati prikaz rezultata čime se dobiva na varijaciji u prikazu čime se olakšava interpretacija podataka.
Abstract (english)
Advancements in sequencing technology gave way to exponential growth in number of microbial sequences in databases, whereas metagenomic analysis results are complex data that include taxonomic profiles and metabolic functions. Data processing is gradually becoming a bigger challenge, therefore development of computer tools is required to facilitate and reduce time needed for analyses that are possible to automate. The software tool developed as a part of this master thesis enables graphical display and statistical analysis of data gained through metagenomic analysis with the MetaPhlAn tool. The software tool is coded with Python programing language and contains five programs that process data and one testing program with which is possible to test functions of others. Programs take different parameters which permit changes in showing results that enables variation in displaying which facilitates data interpretation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:579511
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 conditionsOpen access
Terms of useLicence Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) icon
Created on2020-07-13 12:20:19