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FMLRC: Hybrid long read error correction using an FM-index
BACKGROUND: Long read sequencing is changing the landscape of genomic research, especially de novo assembly. Despite the high error rate inherent to long read technologies, increased read lengths dramatically improve the continuity and accuracy of genome assemblies. However, the cost and throughput...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807796/ https://www.ncbi.nlm.nih.gov/pubmed/29426289 http://dx.doi.org/10.1186/s12859-018-2051-3 |
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author | Wang, Jeremy R. Holt, James McMillan, Leonard Jones, Corbin D. |
author_facet | Wang, Jeremy R. Holt, James McMillan, Leonard Jones, Corbin D. |
author_sort | Wang, Jeremy R. |
collection | PubMed |
description | BACKGROUND: Long read sequencing is changing the landscape of genomic research, especially de novo assembly. Despite the high error rate inherent to long read technologies, increased read lengths dramatically improve the continuity and accuracy of genome assemblies. However, the cost and throughput of these technologies limits their application to complex genomes. One solution is to decrease the cost and time to assemble novel genomes by leveraging “hybrid” assemblies that use long reads for scaffolding and short reads for accuracy. RESULTS: We describe a novel method leveraging a multi-string Burrows-Wheeler Transform with auxiliary FM-index to correct errors in long read sequences using a set of complementary short reads. We demonstrate that our method efficiently produces significantly more high quality corrected sequence than existing hybrid error-correction methods. We also show that our method produces more contiguous assemblies, in many cases, than existing state-of-the-art hybrid and long-read only de novo assembly methods. CONCLUSION: Our method accurately corrects long read sequence data using complementary short reads. We demonstrate higher total throughput of corrected long reads and a corresponding increase in contiguity of the resulting de novo assemblies. Improved throughput and computational efficiency than existing methods will help better economically utilize emerging long read sequencing technologies. |
format | Online Article Text |
id | pubmed-5807796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58077962018-02-15 FMLRC: Hybrid long read error correction using an FM-index Wang, Jeremy R. Holt, James McMillan, Leonard Jones, Corbin D. BMC Bioinformatics Methodology Article BACKGROUND: Long read sequencing is changing the landscape of genomic research, especially de novo assembly. Despite the high error rate inherent to long read technologies, increased read lengths dramatically improve the continuity and accuracy of genome assemblies. However, the cost and throughput of these technologies limits their application to complex genomes. One solution is to decrease the cost and time to assemble novel genomes by leveraging “hybrid” assemblies that use long reads for scaffolding and short reads for accuracy. RESULTS: We describe a novel method leveraging a multi-string Burrows-Wheeler Transform with auxiliary FM-index to correct errors in long read sequences using a set of complementary short reads. We demonstrate that our method efficiently produces significantly more high quality corrected sequence than existing hybrid error-correction methods. We also show that our method produces more contiguous assemblies, in many cases, than existing state-of-the-art hybrid and long-read only de novo assembly methods. CONCLUSION: Our method accurately corrects long read sequence data using complementary short reads. We demonstrate higher total throughput of corrected long reads and a corresponding increase in contiguity of the resulting de novo assemblies. Improved throughput and computational efficiency than existing methods will help better economically utilize emerging long read sequencing technologies. BioMed Central 2018-02-09 /pmc/articles/PMC5807796/ /pubmed/29426289 http://dx.doi.org/10.1186/s12859-018-2051-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Wang, Jeremy R. Holt, James McMillan, Leonard Jones, Corbin D. FMLRC: Hybrid long read error correction using an FM-index |
title | FMLRC: Hybrid long read error correction using an FM-index |
title_full | FMLRC: Hybrid long read error correction using an FM-index |
title_fullStr | FMLRC: Hybrid long read error correction using an FM-index |
title_full_unstemmed | FMLRC: Hybrid long read error correction using an FM-index |
title_short | FMLRC: Hybrid long read error correction using an FM-index |
title_sort | fmlrc: hybrid long read error correction using an fm-index |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807796/ https://www.ncbi.nlm.nih.gov/pubmed/29426289 http://dx.doi.org/10.1186/s12859-018-2051-3 |
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