Efficient assembly of nanopore reads via highly accurate and intact error correction

Ying Chen(Sun Yat-sen University), Fan Nie(Central South University), Shuang Xie(Hainan University), Yingfeng Zheng(Sun Yat-sen University), Qi Dai(Zhejiang Sci-Tech University), T. A. Bray(Oxford Nanopore Technologies (United Kingdom)), Yao-Xin Wang(Zhejiang Sci-Tech University), Jian-Feng Xing(Hainan University), Zhijian Huang(Sun Yat-sen University), Depeng Wang(Nextomics Biosciences (China)), Lijuan He(Sun Yat-sen University), Feng Luo(Clemson University), Jianxin Wang(Central South University), Yizhi Liu(Sun Yat-sen University), Chuan‐Le Xiao(Sun Yat-sen University)
Nature Communications
January 4, 2021
Cited by 461Open Access
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Abstract

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.


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