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Pregled bibliografske jedinice broj: 886781

Computing the Error Profiles of Third Generation Sequencing Technologies


Megla, Lucija
Computing the Error Profiles of Third Generation Sequencing Technologies, 2017., diplomski rad, diplomski, Fakultet Elektrotehnike i Računarstva, Zagreb


CROSBI ID: 886781 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Computing the Error Profiles of Third Generation Sequencing Technologies

Autori
Megla, Lucija

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet Elektrotehnike i Računarstva

Mjesto
Zagreb

Datum
10.07

Godina
2017

Stranica
38

Mentor
Šikić, Mile

Ključne riječi
homopolymers, error profiles, Oxford Nanopore Technologies, machine learning

Sažetak
When reads are assembled into a longer sequence and finally into a consensus, the goal is to reproduce a consensus that is as similar to the reference as possible. Oxford Nanopore Technologies have issues when sequencing homopolymers. That is why we developed a tool where we found error profiles of homopolymers. Using error profiles we trained machine learning algorithms to predict the real length of homopolymers. Then we altered the consensus accordingly, in order to reach reference sequence.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mile Šikić (mentor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Megla, Lucija
Computing the Error Profiles of Third Generation Sequencing Technologies, 2017., diplomski rad, diplomski, Fakultet Elektrotehnike i Računarstva, Zagreb
Megla, L. (2017) 'Computing the Error Profiles of Third Generation Sequencing Technologies', diplomski rad, diplomski, Fakultet Elektrotehnike i Računarstva, Zagreb.
@phdthesis{phdthesis, author = {Megla, Lucija}, year = {2017}, pages = {38}, keywords = {homopolymers, error profiles, Oxford Nanopore Technologies, machine learning}, title = {Computing the Error Profiles of Third Generation Sequencing Technologies}, keyword = {homopolymers, error profiles, Oxford Nanopore Technologies, machine learning}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Megla, Lucija}, year = {2017}, pages = {38}, keywords = {homopolymers, error profiles, Oxford Nanopore Technologies, machine learning}, title = {Computing the Error Profiles of Third Generation Sequencing Technologies}, keyword = {homopolymers, error profiles, Oxford Nanopore Technologies, machine learning}, publisherplace = {Zagreb} }




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