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PBSIM3: a simulator for all types of PacBio and ONT long reads

Long-read sequencers, such as Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) sequencers, have improved their read length and accuracy, thereby opening up unprecedented research. Many tools and algorithms have been developed to analyze long reads, and rapid progress in PacBio and...

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Detalles Bibliográficos
Autores principales: Ono, Yukiteru, Hamada, Michiaki, Asai, Kiyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713900/
https://www.ncbi.nlm.nih.gov/pubmed/36465498
http://dx.doi.org/10.1093/nargab/lqac092
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author Ono, Yukiteru
Hamada, Michiaki
Asai, Kiyoshi
author_facet Ono, Yukiteru
Hamada, Michiaki
Asai, Kiyoshi
author_sort Ono, Yukiteru
collection PubMed
description Long-read sequencers, such as Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) sequencers, have improved their read length and accuracy, thereby opening up unprecedented research. Many tools and algorithms have been developed to analyze long reads, and rapid progress in PacBio and ONT has further accelerated their development. Together with the development of high-throughput sequencing technologies and their analysis tools, many read simulators have been developed and effectively utilized. PBSIM is one of the popular long-read simulators. In this study, we developed PBSIM3 with three new functions: error models for long reads, multi-pass sequencing for high-fidelity read simulation and transcriptome sequencing simulation. Therefore, PBSIM3 is now able to meet a wide range of long-read simulation requirements.
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spelling pubmed-97139002022-12-02 PBSIM3: a simulator for all types of PacBio and ONT long reads Ono, Yukiteru Hamada, Michiaki Asai, Kiyoshi NAR Genom Bioinform High Throughput Sequencing Methods Long-read sequencers, such as Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) sequencers, have improved their read length and accuracy, thereby opening up unprecedented research. Many tools and algorithms have been developed to analyze long reads, and rapid progress in PacBio and ONT has further accelerated their development. Together with the development of high-throughput sequencing technologies and their analysis tools, many read simulators have been developed and effectively utilized. PBSIM is one of the popular long-read simulators. In this study, we developed PBSIM3 with three new functions: error models for long reads, multi-pass sequencing for high-fidelity read simulation and transcriptome sequencing simulation. Therefore, PBSIM3 is now able to meet a wide range of long-read simulation requirements. Oxford University Press 2022-12-01 /pmc/articles/PMC9713900/ /pubmed/36465498 http://dx.doi.org/10.1093/nargab/lqac092 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle High Throughput Sequencing Methods
Ono, Yukiteru
Hamada, Michiaki
Asai, Kiyoshi
PBSIM3: a simulator for all types of PacBio and ONT long reads
title PBSIM3: a simulator for all types of PacBio and ONT long reads
title_full PBSIM3: a simulator for all types of PacBio and ONT long reads
title_fullStr PBSIM3: a simulator for all types of PacBio and ONT long reads
title_full_unstemmed PBSIM3: a simulator for all types of PacBio and ONT long reads
title_short PBSIM3: a simulator for all types of PacBio and ONT long reads
title_sort pbsim3: a simulator for all types of pacbio and ont long reads
topic High Throughput Sequencing Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713900/
https://www.ncbi.nlm.nih.gov/pubmed/36465498
http://dx.doi.org/10.1093/nargab/lqac092
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