NextDenovo: an Efficient Error Correction and Accurate Assembly Tool for Noisy Long Reads

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2024 Apr 26

PMID 38671502

Authors

Jiang Hu

Zhuo Wang

Zongyi Sun

Benxia Hu

Adeola Oluwakemi Ayoola

Fan Liang

Jingjing Li

Jose R Sandoval

David N Cooper

Kai Ye

Jue Ruan

Chuan-Le Xiao

Depeng Wang

Dong-Dong Wu

Sheng Wang

Affiliations

Soon will be listed here.

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.

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