文献类型： 外文期刊
第一作者： Hu, Jiang
作者： Hu, Jiang;Wang, Zhuo;Sun, Zongyi;Liang, Fan;Li, Jingjing;Wang, Depeng;Hu, Benxia;Ayoola, Adeola Oluwakemi;Wu, Dong-Dong;Wang, Sheng;Sandoval, Jose R.;Cooper, David N.;Hu, Jiang;Ye, Kai;Ruan, Jue;Xiao, Chuan-Le;Wu, Dong-Dong;Wu, Dong-Dong;Wang, Sheng;Wu, Dong-Dong
作者机构：
关键词： Long reads; Genome assembly; Error-correction; Human genomes; Segmental duplication
期刊名称：GENOME BIOLOGY （ 影响因子：12.3； 五年影响因子：17.4 ）
ISSN： 1474-760X
年卷期： 2024 年 25 卷 1 期
页码：
收录情况： SCI
摘要： 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.
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