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master's thesis
Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:100082
Pratljačić, Suzana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pratljačić, S. (2021). Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:100082

Pratljačić, Suzana. "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:100082

Pratljačić, Suzana. "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:100082

Pratljačić, S. (2021). 'Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:100082

Pratljačić S. Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:100082

S. Pratljačić, "Brzo preklapanje visoko pouzdanih jednomolekularnih očitanja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:100082

Metadata
TitleBrzo preklapanje visoko pouzdanih jednomolekularnih očitanja
Title (english)Rapid overlapping of Single Molecule High-Fidelity Sequencing Data
AuthorSuzana Pratljačić
MentorMile Šikić (mentor)
Committee memberMile Šikić (predsjednik povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
Committee memberKrešimir Križanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tvrtka Pacific Bioscience 2019. godine predstavila je novu tehnologiju sekvenciranja visoko pouzdanih fragmenata koja kombinira koncepte korištene za sekvenciranje tradicionalnih kratkih i dugačkih očitanja s greškama. Visoko pouzdani fragmenti karakterizirani su velikom duljinom i visokom točnosnu. Činjenica da podatci imaju jako mali broj grešaka može se koristiti za osmišljavanje algoritama koji su manje osjetljivi na pogreške. U ovom radu predstavit ćemo algoritam za mapiranje visoko pouzdanih fragmenata. Algoritam koristi sufiksno polje i seed-chain-align proceduru. Analizirat ćemo performanse i točnost razvijenog alata i usporediti ga sa suvremenim algoritmima za mapiranje.
Abstract (english)
In 2019, Pacific Bioscience introduced highly accurate long-read sequencing (HiFi sequencing), a paradigm that combines concepts from traditional short and long error-prone reads technologies. Long lengths and high base-level resolution characterize the HiFi fragments. These characteristics can be utilized to design algorithms that are less sensitive to errors. In this article, we present the novel algorithm for HiFi reads mapping. The algorithm is based on suffix arrays and a standard seed-chain-align procedure. We will analyze the performance and accuracy of the developed tool and compare it to state-of-the-art algorithms.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:100082
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
Access conditionsClosed access
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Created on2023-01-13 13:33:15