Metagenomska klasifikacija temeljena na sastavljanju metagenoma

master's thesis

• Title (english): Metagenomic Classification Based on Metagenome Assembly
• Author: Nera Frajlić
• Mentor: Krešimir Križanović (mentor)
• Committee member: Krešimir Križanović (predsjednik povjerenstva)
• Committee member: Marko Subašić (član povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Metagenomika je grana znanosti usmjerena na analizu bakterija, virusa i drugih jednostavnih genoma u metagenomskom uzorku. Metagenomska klasifikacija i određivanje informacija o taksonomskim grupama sekvenci u uzorku pojavljuje s kao koristan alat u metagenomskoj analizi. Genomika uvodi metode za manipuliranje genomskim podacima, uključujući algoritme poravnanja i mapiranja, alate za sastavljanje genoma i drugo, koji su korisni pri provođenju metagenomske klasifikacije. Ovaj diplomski rad pruža pregled područja metagenomske klasifikacije i usmjeren je na istraživanje metode za poboljšanje metagenomske klasifikacije korištenjem sastavljenih kontiga generiranih iz simuliranog uzorka ciljnih sekvenci. U analizi je sudjelovalo nekoliko uzoraka podataka koji sadrže određene anomalije i nekoliko baza podataka.

Abstract (english)

Metagenomics research specializes in the analysis of bacterial, viral, and other genomes present in metagenomic samples. A key aspect of metagenomic analysis is classifying and understanding taxonomic information within a sample. Various methods for handling genomic data exist, such as mapping and alignment algorithms, assembly tools, and more, which prove beneficial in metagenomic classification. This thesis focuses on investigating specific approaches to improve metagenomic classification using assembly contigs derived from simulated samples of target sequences. By exploring this method, this research should contribute to the further development of metagenomic analysis technology. Multiple samples were tested with different true-to-life results, each containing specific anomalies that are likely to be encountered in a real-world environment.

• Keywords: metagenomika; metagenomska klasifikacija; sastavljanje metagenoma
• Keywords (english): metagenomics; metagenomic classification; metagenomic assembly
• Language: english
• URN:NBN: urn:nbn:hr:168:315769
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 08:51:16