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Efficient assembly of nanopore reads via highly accurate and intact error correction
Long nanopore reads are advantageous in de novo genome assembly. However, nanopore reads usually have broad error distribution and high-error-rate subsequences. Existing error correction tools cannot correct nanopore reads efficiently and effectively. Most methods trim high-error-rate subsequences d...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782737/ https://www.ncbi.nlm.nih.gov/pubmed/33397900 http://dx.doi.org/10.1038/s41467-020-20236-7 |
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author | Chen, Ying Nie, Fan Xie, Shang-Qian Zheng, Ying-Feng Dai, Qi Bray, Thomas Wang, Yao-Xin Xing, Jian-Feng Huang, Zhi-Jian Wang, De-Peng He, Li-Juan Luo, Feng Wang, Jian-Xin Liu, Yi-Zhi Xiao, Chuan-Le |
author_facet | Chen, Ying Nie, Fan Xie, Shang-Qian Zheng, Ying-Feng Dai, Qi Bray, Thomas Wang, Yao-Xin Xing, Jian-Feng Huang, Zhi-Jian Wang, De-Peng He, Li-Juan Luo, Feng Wang, Jian-Xin Liu, Yi-Zhi Xiao, Chuan-Le |
author_sort | Chen, Ying |
collection | PubMed |
description | Long nanopore reads are advantageous in de novo genome assembly. However, nanopore reads usually have broad error distribution and high-error-rate subsequences. Existing error correction tools cannot correct nanopore reads efficiently and effectively. Most methods trim high-error-rate subsequences during error correction, which reduces both the length of the reads and contiguity of the final assembly. Here, we develop an error correction, and de novo assembly tool designed to overcome complex errors in nanopore reads. We propose an adaptive read selection and two-step progressive method to quickly correct nanopore reads to high accuracy. We introduce a two-stage assembler to utilize the full length of nanopore reads. Our tool achieves superior performance in both error correction and de novo assembling nanopore reads. It requires only 8122 hours to assemble a 35X coverage human genome and achieves a 2.47-fold improvement in NG50. Furthermore, our assembly of the human WERI cell line shows an NG50 of 22 Mbp. The high-quality assembly of nanopore reads can significantly reduce false positives in structure variation detection. |
format | Online Article Text |
id | pubmed-7782737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77827372021-01-11 Efficient assembly of nanopore reads via highly accurate and intact error correction Chen, Ying Nie, Fan Xie, Shang-Qian Zheng, Ying-Feng Dai, Qi Bray, Thomas Wang, Yao-Xin Xing, Jian-Feng Huang, Zhi-Jian Wang, De-Peng He, Li-Juan Luo, Feng Wang, Jian-Xin Liu, Yi-Zhi Xiao, Chuan-Le Nat Commun Article Long nanopore reads are advantageous in de novo genome assembly. However, nanopore reads usually have broad error distribution and high-error-rate subsequences. Existing error correction tools cannot correct nanopore reads efficiently and effectively. Most methods trim high-error-rate subsequences during error correction, which reduces both the length of the reads and contiguity of the final assembly. Here, we develop an error correction, and de novo assembly tool designed to overcome complex errors in nanopore reads. We propose an adaptive read selection and two-step progressive method to quickly correct nanopore reads to high accuracy. We introduce a two-stage assembler to utilize the full length of nanopore reads. Our tool achieves superior performance in both error correction and de novo assembling nanopore reads. It requires only 8122 hours to assemble a 35X coverage human genome and achieves a 2.47-fold improvement in NG50. Furthermore, our assembly of the human WERI cell line shows an NG50 of 22 Mbp. The high-quality assembly of nanopore reads can significantly reduce false positives in structure variation detection. Nature Publishing Group UK 2021-01-04 /pmc/articles/PMC7782737/ /pubmed/33397900 http://dx.doi.org/10.1038/s41467-020-20236-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Ying Nie, Fan Xie, Shang-Qian Zheng, Ying-Feng Dai, Qi Bray, Thomas Wang, Yao-Xin Xing, Jian-Feng Huang, Zhi-Jian Wang, De-Peng He, Li-Juan Luo, Feng Wang, Jian-Xin Liu, Yi-Zhi Xiao, Chuan-Le Efficient assembly of nanopore reads via highly accurate and intact error correction |
title | Efficient assembly of nanopore reads via highly accurate and intact error correction |
title_full | Efficient assembly of nanopore reads via highly accurate and intact error correction |
title_fullStr | Efficient assembly of nanopore reads via highly accurate and intact error correction |
title_full_unstemmed | Efficient assembly of nanopore reads via highly accurate and intact error correction |
title_short | Efficient assembly of nanopore reads via highly accurate and intact error correction |
title_sort | efficient assembly of nanopore reads via highly accurate and intact error correction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782737/ https://www.ncbi.nlm.nih.gov/pubmed/33397900 http://dx.doi.org/10.1038/s41467-020-20236-7 |
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