NextDenovo: an efficient error correction and accurate assembly tool for noisy long reads

Hu, Jiang, Wang, Zhuo, Sun, Zongyi, Hu, Benxia, Ayoola, Adeola Oluwakemi, Liang, Fan, Li, Jingjing, Sandoval, José R., Cooper, David N. ORCID: https://orcid.org/0000-0002-8943-8484, Ye, Kai, Ruan, Jue, Xiao, Chuan-Le, Wang, Depeng, Wu, Dong-Dong and Wang, Sheng 2024. NextDenovo: an efficient error correction and accurate assembly tool for noisy long reads. Genome Biology 25 (1) , 107. 10.1186/s13059-024-03252-4

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Abstract

Long-read sequencing data, particularly those derived from the Oxford Nanopore sequencing platform, tend to exhibit high error rates. Here, we present NextDenovo, an efficient error correction and assembly tool for noisy long reads, which achieves a high level of accuracy in genome assembly. We apply NextDenovo to assemble 35 diverse human genomes from around the world using Nanopore long-read data. These genomes allow us to identify the landscape of segmental duplication and gene copy number variation in modern human populations. The use of NextDenovo should pave the way for population-scale long-read assembly using Nanopore long-read data.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Medicine
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher:	BioMed Central
ISSN:	1474-760X
Date of First Compliant Deposit:	29 April 2024
Date of Acceptance:	17 April 2024
Last Modified:	29 Apr 2024 08:45
URI:	https://orca.cardiff.ac.uk/id/eprint/168471

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