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undergraduate thesis
Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:950816
Kocijan, Martin Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kocijan, M. J. (2023). Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:950816

Kocijan, Martin Josip. "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:950816

Kocijan, Martin Josip. "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:950816

Kocijan, M. J. (2023). 'Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:950816

Kocijan MJ. Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:950816

M. J. Kocijan, "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:950816

Metadata
TitleBrzo preklapanje visoko pouzdanih jednomolekularnih očitanja
Title (english)Rapid overlapping Single Molecule High-Fidelity Sequencing Data
AuthorMartin Josip Kocijan
MentorMile Šikić (mentor)
Committee memberMile Šikić (predsjednik povjerenstva)
Committee memberRafael Josip Penić (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
Pacific Biosciences nedavno je predstavio novi protokol visokopouzdanog sekvenciranja molekula DNA (engl. HiFi), koji omogućuje točne fragmente dugih o\v{c}itanja s minimalnim brojem pogrešaka. Ovaj rad istražuje algoritme koji su manje osjetljivi na pogreške, koristeći vrhunsku točnost i duljinu HiFi podataka. Ovaj pristup uključuje prilagodbu postojećih kao i razvoj novih preklapajućih algoritama prikladnih za paralelizam u C++-u. Dobiveno rješenje ubrzava proces pronalaženja preklapanja fragmenata i preklapanja prema referentnom genomu. Procjenjujemo izvedbu, točnost i učinkovitost ispitanih algoritama, uspoređujući ih sa suvremenim metodama u upotrebi.
Abstract (english)
Pacific Biosciences recently introduced a novel high-fidelity (HiFi) sequencing protocol, enabling accurate long-read fragments with minimal errors. This thesis investigates algorithms that are less error-sensitive, leveraging the superior accuracy and length of HiFi data. This approach involves adapting existing or developing novel overlapping algorithms suitable for parallel architectures in C++. The resulting solution speeds up the process of finding fragment overlaps and mapping against a reference genome. We holistically evaluate the performance, accuracy, and efficiency of the algorithms examined, comparing them to state-of-the-art methods in use.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:950816
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 09:19:21