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SMARTdenovo: a de novo assembler using long noisy reads

Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. It has also been widely used to study structural variants, phase haplotypes and more. Here, we introduce the assembler SMARTdenovo, a single-molecule...

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Detalles Bibliográficos
Autores principales: Liu, Hailin, Wu, Shigang, Li, Alun, Ruan, Jue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: GigaScience Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632051/
https://www.ncbi.nlm.nih.gov/pubmed/36824332
http://dx.doi.org/10.46471/gigabyte.15
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author Liu, Hailin
Wu, Shigang
Li, Alun
Ruan, Jue
author_facet Liu, Hailin
Wu, Shigang
Li, Alun
Ruan, Jue
author_sort Liu, Hailin
collection PubMed
description Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. It has also been widely used to study structural variants, phase haplotypes and more. Here, we introduce the assembler SMARTdenovo, a single-molecule sequencing (SMS) assembler that follows the overlap-layout-consensus (OLC) paradigm. SMARTdenovo (RRID: SCR_017622) was designed to be a rapid assembler, which, unlike contemporaneous SMS assemblers, does not require highly accurate raw reads for error correction. It has performed well in the evaluation of congeneric assemblers and has been successfully users for various assembly projects. It is compatible with Canu for assembling high-quality genomes, and several of the assembly strategies in this program have been incorporated into subsequent popular assemblers. The assembler has been in use since 2015; here we provide information on the development of SMARTdenovo and how to implement its algorithms into current projects.
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spelling pubmed-96320512023-02-22 SMARTdenovo: a de novo assembler using long noisy reads Liu, Hailin Wu, Shigang Li, Alun Ruan, Jue GigaByte Technical Release Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. It has also been widely used to study structural variants, phase haplotypes and more. Here, we introduce the assembler SMARTdenovo, a single-molecule sequencing (SMS) assembler that follows the overlap-layout-consensus (OLC) paradigm. SMARTdenovo (RRID: SCR_017622) was designed to be a rapid assembler, which, unlike contemporaneous SMS assemblers, does not require highly accurate raw reads for error correction. It has performed well in the evaluation of congeneric assemblers and has been successfully users for various assembly projects. It is compatible with Canu for assembling high-quality genomes, and several of the assembly strategies in this program have been incorporated into subsequent popular assemblers. The assembler has been in use since 2015; here we provide information on the development of SMARTdenovo and how to implement its algorithms into current projects. GigaScience Press 2021-03-08 /pmc/articles/PMC9632051/ /pubmed/36824332 http://dx.doi.org/10.46471/gigabyte.15 Text en © The Author(s) 2021. 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 Technical Release
Liu, Hailin
Wu, Shigang
Li, Alun
Ruan, Jue
SMARTdenovo: a de novo assembler using long noisy reads
title SMARTdenovo: a de novo assembler using long noisy reads
title_full SMARTdenovo: a de novo assembler using long noisy reads
title_fullStr SMARTdenovo: a de novo assembler using long noisy reads
title_full_unstemmed SMARTdenovo: a de novo assembler using long noisy reads
title_short SMARTdenovo: a de novo assembler using long noisy reads
title_sort smartdenovo: a de novo assembler using long noisy reads
topic Technical Release
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632051/
https://www.ncbi.nlm.nih.gov/pubmed/36824332
http://dx.doi.org/10.46471/gigabyte.15
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