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HASLR: Fast Hybrid Assembly of Long Reads
Third-generation sequencing technologies from companies such as Oxford Nanopore and Pacific Biosciences have paved the way for building more contiguous and potentially gap-free assemblies. The larger effective length of their reads has provided a means to overcome the challenges of short to mid-rang...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419660/ https://www.ncbi.nlm.nih.gov/pubmed/32781410 http://dx.doi.org/10.1016/j.isci.2020.101389 |
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author | Haghshenas, Ehsan Asghari, Hossein Stoye, Jens Chauve, Cedric Hach, Faraz |
author_facet | Haghshenas, Ehsan Asghari, Hossein Stoye, Jens Chauve, Cedric Hach, Faraz |
author_sort | Haghshenas, Ehsan |
collection | PubMed |
description | Third-generation sequencing technologies from companies such as Oxford Nanopore and Pacific Biosciences have paved the way for building more contiguous and potentially gap-free assemblies. The larger effective length of their reads has provided a means to overcome the challenges of short to mid-range repeats. Currently, accurate long read assemblers are computationally expensive, whereas faster methods are not as accurate. Moreover, despite recent advances in third-generation sequencing, researchers still tend to generate accurate short reads for many of the analysis tasks. Here, we present HASLR, a hybrid assembler that uses error-prone long reads together with high-quality short reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number of misassemblies on most of the samples, while being on par with other assemblers in terms of contiguity and accuracy. |
format | Online Article Text |
id | pubmed-7419660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74196602020-08-14 HASLR: Fast Hybrid Assembly of Long Reads Haghshenas, Ehsan Asghari, Hossein Stoye, Jens Chauve, Cedric Hach, Faraz iScience Article Third-generation sequencing technologies from companies such as Oxford Nanopore and Pacific Biosciences have paved the way for building more contiguous and potentially gap-free assemblies. The larger effective length of their reads has provided a means to overcome the challenges of short to mid-range repeats. Currently, accurate long read assemblers are computationally expensive, whereas faster methods are not as accurate. Moreover, despite recent advances in third-generation sequencing, researchers still tend to generate accurate short reads for many of the analysis tasks. Here, we present HASLR, a hybrid assembler that uses error-prone long reads together with high-quality short reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number of misassemblies on most of the samples, while being on par with other assemblers in terms of contiguity and accuracy. Elsevier 2020-07-25 /pmc/articles/PMC7419660/ /pubmed/32781410 http://dx.doi.org/10.1016/j.isci.2020.101389 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Haghshenas, Ehsan Asghari, Hossein Stoye, Jens Chauve, Cedric Hach, Faraz HASLR: Fast Hybrid Assembly of Long Reads |
title | HASLR: Fast Hybrid Assembly of Long Reads |
title_full | HASLR: Fast Hybrid Assembly of Long Reads |
title_fullStr | HASLR: Fast Hybrid Assembly of Long Reads |
title_full_unstemmed | HASLR: Fast Hybrid Assembly of Long Reads |
title_short | HASLR: Fast Hybrid Assembly of Long Reads |
title_sort | haslr: fast hybrid assembly of long reads |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419660/ https://www.ncbi.nlm.nih.gov/pubmed/32781410 http://dx.doi.org/10.1016/j.isci.2020.101389 |
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